“Send Me a Proposal”: The Costly B2B Sales Mistake I Made as a Startup Founder

When a Proposal Felt Like a Breakthrough

In the early days of my startup, hearing a company say, “Send me a proposal,” felt like recognition. Someone had noticed our work and thought we might be able to help. I was happy to spend time on it because I could imagine the proposal becoming our first project with that customer. If it went well, perhaps a small project would grow into a long relationship.

A request worth millions of ringgit was even harder to resist. Before anything had been agreed, I found myself thinking about hiring, growth and what similar projects might mean for the next three to five years. For a founder building a company from the ground up, those possibilities feel real. They give you energy when the business needs it most.

The Work Begins Before the Deal Exists

My team and I would prepare the architecture, estimate the costs and ask partners for their prices. We wanted to give the customer our best answer. Yet sometimes we did not know enough about the site, devices, data, responsibilities or expected outcome to design a sound solution. When we asked, the reply was often, “Just give us your best proposal,” or “You suggest.”

That left us making assumptions about the scale of the work. We spent days debating options with partners and trying to price a project whose boundaries nobody had defined. The proposal might look complete when we submitted it, but much of it rested on guesses. Even a carefully written price could be wrong if the actual requirements later changed.

Then came the silence. Some customers never replied. Others said they would keep the proposal and budget for reference. Often, we never learned whether the project went to someone else, lacked funding, had no internal owner or was never ready to enter procurement. The hours we had spent preparing it were gone.

What Those Proposals Taught Me

That experience was frustrating because I had mistaken interest for commitment. A request for a proposal can be a serious step toward a project, but the words alone tell me very little. The lessons cost my small team time and money:

  1. Find the problem owner. I need to know who will use the proposed solution, who is responsible for the outcome and who can approve the next step.
  2. Ask what is known about the budget and timing. A customer may not have a final figure, but they should be able to explain whether funding exists and when a decision could be made.
  3. Understand the buying process. A direct award, competitive tender and early market study call for different amounts of work.
  4. Record what remains unknown. If key requirements are missing, I should not present assumptions as firm scope or a final price.
  5. Protect the team’s time. Preparing a detailed design has value. Giving it away repeatedly leaves fewer resources for customers who are ready to act.

These are practical business lessons I did not learn at university. I learned them while trying to keep a startup moving with limited people and cash.

A Different Answer Today

When someone now asks for a large proposal without a clear scope, I first ask about the problem, budget, timeframe, project owner and procurement route. If they need us to investigate requirements, work through the architecture and develop a costed plan, I propose a paid consultation. It gives the customer something more useful than a proposal built on guesses, while allowing us to put proper care into the work.

I still welcome a genuine opportunity. I also understand that a proposal request may be the start of a conversation, rather than a sign that a project is ready. It took me longer than I wish to learn that distinction. The cost was real, but so was the lesson: a founder must believe in what the company can build and know when to ask whether the customer is ready to build it with them.

From Teaching IoT to Solving Real Problems: Lessons I Learned the Hard Way

Looking back at my years of building IoT solutions, I can see how much the conversation around IoT has changed. In the beginning, our challenge was convincing people that IoT mattered. Later, people wanted to learn how to build it themselves. Today, building an IoT prototype has become much easier, especially with generative AI helping people write code and solve technical problems. Yet one uncomfortable reality remains: the IoT market has not grown as quickly as many of us expected.

That experience has forced me to rethink what customers actually need from IoT. After years of developing FAVORIOT, conducting training, working on projects and watching pilots succeed technically but struggle commercially, I have learned that the biggest challenge is rarely the technology itself. The harder question is whether we are solving an operational problem that matters enough for someone to take ownership, allocate a budget and keep the solution running.

The Early Days Were About Explaining IoT

In the early days, many of our conversations started with a basic question: “What is IoT?” People had heard the term, but few understood how sensors, connectivity, cloud platforms and applications could work together. We spent considerable time educating customers, students and organisations about what IoT could do and why connecting physical assets could change the way operations were monitored.

At that time, simply demonstrating the technology could create excitement. When someone saw a sensor transmitting data to a cloud platform and displaying the information on a dashboard, it felt like something new. We could demonstrate remote monitoring, automatic alerts and real-time data collection, and people immediately became curious about the possibilities. We believed that once awareness increased, adoption would naturally follow.

Then People Wanted to Build IoT Themselves

As awareness grew, the questions changed from “What is IoT?” to “How can I build an IoT solution?” This created another chapter for FAVORIOT, where training became an important part of what we did. We conducted many IoT programmes involving sensors, Arduino, ESP32, Raspberry Pi, MQTT, cloud platforms, dashboards and application development.

The appetite for learning was strong because people wanted practical experience. Students wanted to build projects, lecturers wanted to introduce IoT into teaching and research, while engineers and professionals wanted to understand how connected systems could be applied in their organisations. IoT was gradually moving from something people heard about at conferences into something they could actually build with their own hands.

Then generative AI arrived, and we noticed another shift. Demand for traditional IoT training appeared to decline. One possible reason is that people can now ask an AI assistant how to connect an ESP32, generate MQTT code, troubleshoot an error or explain how a sensor works. Knowledge that once required attending a two-day workshop can now be accessed within minutes.

If IoT Is Easier to Build, Why Is the Market Still Slow?

This became an uncomfortable question for many IoT solution providers, including us. Sensors became cheaper, connectivity improved, platforms matured and technical knowledge became easier to obtain. Generative AI lowered the technical barrier even further, yet the commercial market for IoT still seemed to move much more slowly than the technology.

For a long time, we believed demonstrating stronger technology would help overcome this problem. We showed customers devices, dashboards, alerts, analytics and different ways of connecting physical assets. A good demonstration could attract attention, lead to discussions and sometimes result in a pilot project. Technically, many of these pilots worked exactly as expected.

The problem came afterward. Some pilots simply stopped. The sensors were working, data was flowing and dashboards were displaying information, yet the project never expanded. We slowly realised that proving technology could work was very different from proving that an organisation needed it badly enough to continue investing in it.

A Successful Pilot Can Still Become a Failed Project

That experience taught us to ask a different question: who owns the project after the pilot? Someone might approve an experiment, another department might provide the equipment and an IT team might help with connectivity, but nobody may actually be responsible for turning the pilot into part of daily operations.

Without operational ownership, a pilot can easily become a technology showcase rather than a working system. If nobody is accountable for the problem being addressed, nobody feels enough urgency to expand the solution. There may also be no operational budget, measurable outcome or internal champion willing to push the project beyond its experimental stage.

This changed the questions I now believe we should ask at the beginning of an IoT project. What operational problem is the customer experiencing? Who suffers when that problem occurs? What does the organisation lose when the problem remains invisible? Who receives the information generated by the system, and what action will that person take? Most importantly, who owns the outcome after the pilot finishes?

Customers Rarely Wake Up Wanting IoT

A maintenance manager probably does not arrive at work thinking about buying an IoT platform. He may simply want to know whether a remote pump has stopped running before someone complains. A facilities manager may want to understand why electricity consumption suddenly increased, while an environmental officer may need an early warning when water quality begins moving outside acceptable limits.

The same applies to energy systems, buildings, factories and remote assets. Customers are usually concerned about downtime, wasted energy, unnecessary site visits, equipment failures, delayed responses and things happening in their operations that they cannot see quickly enough. IoT becomes valuable when it helps expose those problems early enough for someone to act.

This has changed the way I think about FAVORIOT as well. Connecting devices remains necessary, but connection alone is not the outcome. Data must help someone see something they could not previously see, understand what is happening and decide what to do next. That is why Connect → See → Act represents something much deeper to me today than simply describing how an IoT platform works.

Lessons I Learned the Hard Way

After years of explaining IoT, teaching people how to build it, developing our own platform and watching projects move through different stages, several lessons have become difficult to ignore.

  1. Awareness does not automatically create demand. Someone can understand IoT very well without having a strong enough operational reason to buy a solution.
  2. Technical success is different from commercial success. Getting a sensor to transmit data and displaying it beautifully proves that the technology works. It does not prove that the organisation will continue paying for it.
  3. Every pilot needs an operational owner. Someone inside the customer’s organisation must care about the outcome, be responsible for the problem and have enough influence to move the project forward.
  4. Start with the pain, not the platform. Conversations about downtime, energy losses, unnecessary site visits, equipment failures and delayed responses are usually more meaningful than conversations about protocols, dashboards and technical specifications.
  5. IoT creates value when visibility leads to action. Collecting more data is not enough. The real value comes when information helps someone recognise a problem earlier and respond before the consequences become more expensive.

Perhaps this has been one of the hardest lessons from building IoT solutions over the years. We spent the early years proving that IoT technology worked. We then spent years teaching people how to build it. Today, I believe the conversation has to move beyond both.

The future of IoT will not be decided by how many sensors we can connect or how impressive our dashboards look. It will be decided by whether we can help organisations see operational problems they could not see before and give the right people enough information to act.

That lesson took years of projects, pilots, training programmes, successes and disappointments for me to fully appreciate. Stop trying to sell customers IoT. Find the operational problem they desperately need to see, and make that problem visible.

Favoriot Sembang Santai (Episodes 1 – 58) Hosted by Mazlan Abbas and Zura Huzali

This is the part of the list compilation of Favoriot Sembang Santai Podcasts. They are available in YouTube, Spotify and Amazon.

Favoriot Sembang Santai — Mazlan Abbas & Zura Huzali
FAVORIOT PODCAST DIRECTORY

Favoriot
Sembang Santai

Episodes featuring Zura Huzali with Dr. Mazlan Abbas. Browse the series in episode sequence and jump to YouTube.

40 verified episode titles shown
29
EPISODE 29

IoT Platforms: The Heart of Every Smart Solution

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Source note: This page contains episode titles that could be independently verified from indexed Favoriot Sembang Santai podcast pages and YouTube results. Where an exact YouTube video URL was not exposed by search indexing, the button opens a targeted YouTube search for that exact episode instead of guessing a video ID. Episodes not yet independently verified are intentionally omitted.
Favoriot Sembang Santai • Hosted by Zura Huzali with Dr. Mazlan Abbas • Directory prepared 17 September 2026

August 2026 – Mazlan Abbas Monthly Compilation – Ideas and Lessons

August 2026 Collection | Dr. Mazlan Abbas
Dr. Mazlan Abbas · Monthly Reading Collection

AUGUST Ideas, lessons and hard-earned realities from 2026

Six essays from August 2026, curated into one reading collection spanning operational visibility, startup commercialisation, partnerships, personal reflection and confidence in Malaysian technology.

6 Articles5 ThemesAugust 2026
The August Edition

What experience teaches after the presentation ends

August’s writing repeatedly returns to one idea: appearances can mislead. A dashboard may look impressive without helping people act. A pilot may work without becoming a business. An MoU may generate photographs without generating results. An admired idea may still lack market evidence. The collection brings those lessons together with reflections on experience, judgement and Malaysia’s confidence in its own technology.

06original essays, arranged by the question each one helps the reader answer.
01 · Operational Visibility

Beyond the dashboard

Why connected devices and attractive charts still leave organisations struggling to understand what needs attention and what action should follow.

7 August 2026

The Moment I Realised Our Dashboard Was Not the Answer

For years, better dashboards seemed like the natural destination of IoT. Real deployments told a different story. Operators still made site visits, problems were still discovered through calls and WhatsApp, and colourful screens did not always create trusted operational awareness. This article explains the shift from collecting and displaying data toward solving Operational Blindness, and why the real objective is helping people know what is happening early enough to act.

Read the full article →
01
02 · Startup & Commercialisation

Proof is not the same as a business

Two founder stories examine what happens when technical success, a compelling pitch and genuine social value meet the harder test of commercial reality.

15 August 2026

I Thought a Successful Pilot Would Naturally Become a Real Project. I Was Wrong

A pilot can prove that technology works while proving very little about budgets, buying commitment, timing or the durability of the market. Drawing from real projects, this essay explores why founders and technology teams must qualify the commercial path before treating a successful pilot as the beginning of scale.

Read the full article →
02
24 August 2026

I Pitched My Elderly Monitoring Startup to Nearly 100 Investors. Here’s Why They All Said No

Favorwatch had a meaningful purpose and a convincing story, yet almost 100 investor approaches ended without funding. The retrospective is less about rejection and more about the missing evidence behind the pitch: paying customers, repeatable demand and traction. It is a useful read for founders tempted to mistake interest in an idea for proof of a market.

Read the full article →
03
03 · Partnerships

The photograph is not the partnership

A practical founder’s view of why formal collaboration matters far less than ownership, a first project, resources and people who keep the relationship moving.

22 August 2026

The MoU Photograph Is the Easy Part. The Real Work Begins After Everyone Goes Home

MoU ceremonies create recognition, publicity and the feeling that a partnership has begun. Yet signatures cannot appoint a champion, fund an activity or create a customer project. This essay looks behind the ceremonial photograph and identifies the practical conditions that turn good intentions into actual work, including named owners, a first activity, resources, timelines and measurable outcomes.

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04
04 · Leadership & Reflection

Would the younger self listen?

A short reflection on the strange relationship between experience and risk, and whether wisdom can exist without the mistakes that produced it.

14 August 2026

Would We Listen to Advice from Our Future Selves?

If an older and wiser version of a person could send one message backwards in time, would the younger version even accept it? This brief piece asks whether courage, curiosity, wrong turns and risks are simply problems to avoid, or whether they are part of the process that eventually creates judgement and perspective.

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05
05 · Malaysia & Technology

Merdeka of the technology mindset

A Merdeka reflection on what it means for a country to aspire to create technology while its own buyers may still instinctively place greater trust in foreign brands.

31 August 2026

Malaysia Is Independent. Our Technology Mindset Should Be Too.

Malaysia has spent decades building engineers, universities, industries and local technology companies, yet technological self-confidence cannot be created by policy or certification alone. Using Favoriot’s experience as a Malaysian-built platform, this Merdeka essay asks buyers to judge local technology by capability, support and results rather than by the country printed on the brand.

Read the full article →
06

August 2026 was less about technology itself and more about learning to distinguish what looks like progress from what actually creates progress.

Curated from the August 2026 articles of Dr. Mazlan Abbas

All article titles and outbound links lead to the original posts on mazlanabbas.com. Abstracts on this collection page are editorial summaries written for discovery and do not replace the original articles.

Malaysia Is Independent. Our Technology Mindset Should Be Too.

As Malaysia prepares to celebrate its 69th Independence Day on 31 August 2026, I have been thinking about what independence means beyond flags, parades and remembering the historic moment of 1957. For almost seven decades, Malaysia has governed itself, built its own industries, developed universities, trained engineers and scientists, and created companies capable of developing technologies that once had to be imported.

Yet after building Favoriot since 2017, I have come to realise that there is another form of independence that may take much longer to achieve. It is the independence of our mindset, particularly the confidence to believe that technology developed by Malaysians can stand alongside technology carrying famous international brands.

Building Favoriot as a Malaysian Technology Company

When we started Favoriot in 2017, we wanted to build an IoT platform here in Malaysia rather than simply becoming a reseller of somebody else’s technology. It meant developing our own platform, supporting users, improving the technology continuously and learning from actual deployments. Over the years, Favoriot has been used by students, researchers, developers, universities, system integrators and organisations, both locally and internationally.

Throughout these years, we have proudly promoted the message “Made by Malaysia.” We also pursued and obtained MySTI certification, which recognises Malaysian technologies and products developed through local research, development and technical capabilities. Getting certified was meaningful to us, but it also taught me something else. Certification can validate a technology, but a certificate alone cannot change how people perceive locally developed products.

That remains one of the harder challenges we face.

The Advantage of Having a Foreign Brand

In many technology discussions, I have noticed how differently people sometimes react to international and Malaysian brands. When a well-known overseas company presents a solution, there can be an immediate assumption that the technology is mature, reliable and proven. When a Malaysian company presents a comparable solution, the conversation may begin with questions about whether we have the capability, experience or scale to deliver it.

There is nothing wrong with questioning a technology provider. Every supplier should be evaluated carefully, including Favoriot. The problem appears when the level of confidence is determined by the origin of the brand rather than what the technology can actually do. An international logo should not automatically become a certificate of technical superiority, just as a Malaysian logo should not automatically create doubt.

I am also not suggesting that Malaysian organisations should stop buying foreign technology. We need technologies from around the world, and competition makes everyone better. What I hope to see is a more balanced evaluation where Malaysian products are given the same opportunity to demonstrate their capabilities based on technical requirements, performance, support, security, cost and suitability for the organisation.

How Can Malaysian Companies Become Global If Malaysians Do Not Give Them a Chance?

We often ask why Malaysia has not produced more global technology companies. Perhaps part of the answer lies much closer to home. Every successful international technology company was once a small local company that few people outside its home market recognised. Before it became a global brand, there were customers, partners and organisations willing to become its early believers.

Malaysian technology companies need those believers too. If local companies are expected to become successful internationally before Malaysian organisations are prepared to trust them, we create an almost impossible cycle. We ask them to prove themselves globally, yet deny them the local references, deployments, revenue and experience that could help them reach the global market.

This is why supporting Malaysian technology should not be confused with giving local companies special treatment. Local companies should still have to prove themselves. They should meet technical specifications, cybersecurity requirements, service commitments and performance expectations. If they cannot deliver, customers should have every right to choose another solution.

What we are asking for is something much simpler: give Malaysian technology a genuine opportunity to compete.

Give Us the Opportunity to Prove Ourselves

Perhaps government agencies, government-linked companies and private organisations could begin evaluating local technology with a different set of questions:

  1. Can this Malaysian technology meet our technical and operational requirements?
  2. Has the company demonstrated that the product actually works?
  3. Can local support provide faster response and closer engagement?
  4. Can the solution be adapted to Malaysian requirements rather than forcing us to follow a global template?
  5. Can a pilot or controlled deployment allow the company to prove its capabilities?
  6. Could becoming an early customer help create a Malaysian company capable of competing internationally?

These questions do not lower the bar. They simply give Malaysian companies a fair chance to reach it.

For Favoriot, we have spent the years since 2017 building, improving, promoting, supporting and proving ourselves. We may not have the marketing budgets, global offices or brand recognition of the largest international technology companies, but those things should not be confused with the capability of the technology itself.

Perhaps Our Next Merdeka Is a Merdeka of Mindset

On 31 August 2026, Malaysians will once again raise the Jalur Gemilang and celebrate the independence achieved in 1957. We should be proud of how far the country has come, but independence should also encourage us to ask whether some old assumptions are still influencing how we see ourselves.

Malaysia cannot aspire to become a technology-producing country while continuing to believe that the best technology must come from somewhere else. We cannot keep asking where the next Malaysian global technology company will come from while hesitating to become the customers who help create one.

I do not know whether Favoriot will eventually become a globally recognised Malaysian technology company. What I do know is that we will continue trying. Every Malaysian technology company that carries the country’s name beyond our shores has to start somewhere, and very often that starting point is the confidence given by customers and partners at home.

So, this Merdeka, perhaps we should celebrate not only our freedom as a nation but also challenge ourselves to achieve another kind of independence: the confidence to judge Malaysian technology by what it can do rather than where it comes from.

“Merdeka gave us the freedom to build our own nation. Our next Merdeka is the confidence to believe that Malaysians can build technology the world will one day choose.”

I Pitched My Elderly Monitoring Startup to Nearly 100 Investors. Here’s Why They All Said No

Before FAVORIOT became known for its IoT platform and Operational Visibility Platform, our first product was something very different. It was called Favorwatch, an elderly-monitoring solution that we began developing in 2017.

Favorwatch used a smartwatch to monitor the health, safety and location of elderly people living independently. Its geofencing feature could alert family members or caregivers when the wearer moved beyond a designated area. We summarised its purpose with a simple promise: “Live alone, but never be left alone.”

The product addressed a genuine social concern. Families were becoming more geographically dispersed, ageing populations were growing and wearable technologies were becoming more capable. We believed Favorwatch could help elderly people preserve their independence while giving their families greater peace of mind.

It was a meaningful idea. But a meaningful idea does not automatically become a sustainable business.

I Was Pitching the Future, Not the Evidence

During the early stages, I presented Favorwatch at accelerator demo days and pitched it directly to investors whenever opportunities appeared. I spoke about ageing populations, remote healthcare, wearable devices and the need to protect elderly people living alone.

The story was convincing, but the business was still immature. Our presentation described what Favorwatch could become, while investors wanted evidence of what it had already achieved.

I sent the pitch deck to nearly 100 venture capital firms, investors and related companies. Most never responded. A small number replied, but every response ended in rejection.

At first, I wondered whether investors simply did not understand the opportunity. We were early, the concept was uncommon and the market appeared likely to grow. With time, I realised that the problem was not necessarily their understanding of the idea.

They could see the potential. They could not see enough proof that customers were willing to pay.

Everyone Liked It Until We Discussed Payment

One of the most confusing experiences for a founder is receiving positive feedback without generating sales. Many people told us that Favorwatch was useful, meaningful and promising. They understood why families would want to protect elderly relatives through wearable monitoring.

The enthusiasm weakened when the conversation moved from appreciation to payment.

That exposed the difference between supporting an idea and buying a product. Families cared about elderly safety, but many were comfortable relying on telephone calls, relatives or existing caregiving arrangements. Healthcare organisations could recognise the value but might not have a budget, procurement route or person responsible for purchasing the solution.

People saying, “This is a good product,” sounded encouraging. It was not the same as saying, “Where do I sign, and how much should I pay?”

The Questions We Had Not Answered

Looking back, our challenge was not caused by a single mistake. Several business questions remained unresolved:

  1. Who was the actual customer? The elderly person used the product, but an adult child might pay for it. A care centre might manage it, while a healthcare provider could benefit from the data.
  2. Was the problem urgent enough? Elderly safety mattered, but concern did not always lead to immediate purchasing decisions.
  3. Was the business model workable? Device costs, connectivity, subscriptions, support and customer service affected both the selling price and profitability.
  4. Was the product ready for continuous use? A successful demonstration did not prove reliability, battery performance, network coverage or user acceptance over many months.
  5. Could we demonstrate repeatable demand? We did not have enough paying customers or dependable sales channels to show that the business could grow.

These gaps made the investment risk too high. Investors were not rejecting the social purpose of Favorwatch. They were rejecting the absence of market traction.

From Favorwatch to Raqib

Favorwatch later evolved into Raqib, a monitoring solution for Hajj and Umrah pilgrims. The target market changed, but the core purpose remained: using wearable technology, location tracking and geofencing to keep people safe and connected.

The pilgrimage market offered a more specific use case. Pilgrims could become separated from their groups, experience health problems or struggle to communicate their location in crowded environments. We tested Raqib locally and with early users, and I personally tested it during Umrah.

The pivot gave us greater market clarity, but it did not remove every commercial risk. Even a focused product requires committed buyers, suitable pricing, trusted partners and good timing.

What I Would Tell My Earlier Self

If I could advise the founder who sent those 100 pitch decks, I would not tell him to stop. I would tell him to spend more time proving customer demand before seeking investment.

I would ask:

  • Who owns the problem and controls the budget?
  • What happens if the customer takes no action?
  • Will the customer pay for a pilot?
  • Can we measure the financial or operational value?
  • Can we win five similar customers without rebuilding the product?
  • Will the revenue cover delivery, support and future development?

Those investor rejections were painful, but they exposed weaknesses that compliments had concealed. They taught me that praise is not market validation, interest is not traction and a successful pitch is not a substitute for a paying customer.

A founder needs conviction to keep building through uncertainty. Yet conviction must eventually be supported by evidence. The market validates a product when customers commit their money, time and reputation to using it.

That was the lesson Favorwatch gave me long before FAVORIOT became the company it is today.

The MoU Photograph Is the Easy Part. The Real Work Begins After Everyone Goes Home

There was a time when I would look at photographs of companies signing Memorandums of Understanding and feel a little envious. The photographs always seemed to suggest that something significant was about to happen. Two senior executives would sit at a beautifully arranged table, exchange documents, shake hands and smile for the cameras, while company logos filled the backdrop behind them. Soon afterward, the photographs would appear on LinkedIn, Facebook, corporate websites and sometimes in newspapers or on television. From the outside, it looked like the beginning of a major partnership, and I naturally assumed that a large project, investment or business opportunity would soon follow.

For a startup founder, these images can be particularly powerful because recognition from a large and established organisation feels like validation. When you have spent years trying to convince customers, partners and investors that your small company deserves to be taken seriously, seeing another startup signing an MoU with a major corporation, university, government agency or multinational company can make you wonder when your turn will come. I felt that too. I wanted Favoriot to be recognised in the same way, to stand alongside respected organisations and demonstrate that our small Malaysian company had earned a place within their ecosystem.

So, naturally, I pursued MoUs too.

And when those opportunities eventually came, I discovered that the experience really did provide some of the things I had imagined. There was recognition, publicity and a temporary spotlight on the company. People congratulated us, staff felt proud and our association with a recognised organisation helped strengthen our credibility. Yet over time, I began to understand something that I had completely underestimated when I was admiring those photographs from a distance.

The MoU signing is often the easiest part of the partnership. The difficult part begins after everyone goes home.

When an MoU Feels Like You Have Finally Arrived

For a startup, being invited to sign an MoU with a much larger organisation can feel like an important milestone. Startups spend an enormous amount of time knocking on doors, sending proposals, making presentations, demonstrating products and trying to persuade organisations to give them a chance. Many conversations lead nowhere, some proposals disappear into silence and others remain under evaluation for months, so when a respected organisation finally says that it wants to formalise a relationship with you, it is understandable to feel proud.

The signing ceremony reinforces that feeling because everything surrounding it signals importance. Senior executives attend, photographers appear, corporate communications teams prepare announcements and social media posts begin receiving congratulations. Friends and colleagues may tell you that something big is happening, and for a brief period the company enjoys attention that would normally be difficult for a small startup to obtain.

There is nothing wrong with appreciating that moment because recognition matters, particularly when you are building credibility in a market where people often judge smaller companies by the organisations willing to associate with them. What I eventually learned, though, was that public visibility should never be confused with actual progress. A photograph can show that two organisations intend to work together, but it cannot tell us whether they actually will.

The Photograph Is Not the Partnership

One of the strange things I noticed over the years was how much effort could go into preparing an MoU compared with the effort that sometimes followed after it was signed. Before the ceremony, everyone seemed extremely busy. There were discussions about clauses, legal reviews, amendments, logos, signatories, witnesses, dates, venues, speeches and schedules. Documents could travel between legal departments for weeks or even months while both organisations tried to agree on the exact wording.

Then finally the day arrived. Everyone gathered, documents were signed, hands were shaken, photographs were taken and the announcement was published. Afterward, everyone returned to their normal responsibilities, and sometimes something rather unexpected followed.

Very little happened.

The irony was difficult to ignore. We could spend months getting permission to say that we intended to work together, yet spend far less time deciding exactly what we were going to work on.

That experience gradually changed the way I viewed MoUs because I realised that the ceremony represented only an intention. The partnership itself did not exist in the signatures or the photographs. It existed in the meetings, projects, customer engagements, research activities, training programmes and deployments that were supposed to follow.

Different MoUs, Similar Challenges

Of course, not every MoU has the same purpose. Our collaborations with universities, for example, usually have very different objectives from our collaborations with industry partners. University MoUs may focus on teaching and learning, research, student projects, training, internships, grants, technology adoption or joint academic activities. Industry MoUs are more likely to explore market opportunities, customer engagements, technology partnerships, solution development, joint proposals or new business opportunities.

On paper, these agreements can sound extremely promising because they often contain phrases such as “jointly explore opportunities”, “promote collaboration”, “share expertise” and “develop mutually beneficial activities”. There is nothing wrong with such language, but I have learned that broad statements of intention can easily create the illusion that many things are happening when nothing specific has actually started.

The words explore, promote and collaborate sound positive, but somebody still has to turn those words into a project, programme or commercial opportunity. Without that next step, even the most impressive MoU can remain nothing more than a nicely formatted document stored somewhere in a shared folder.

The CEO Signed It, But Does the Organisation Know About It?

One of the biggest problems I have observed is that an MoU can exist at the senior management level without becoming part of the organisation below it. The CEO may know about it, the Vice Chancellor may know about it, the Dean or Managing Director may have attended the ceremony, and the corporate communications team may have published the photographs, but the people who are actually expected to carry out the work may know very little about what was agreed.

This becomes particularly difficult in large organisations because senior executives are rarely the people who will organise technical workshops, prepare customer proposals, supervise students, integrate systems, coordinate research activities or conduct regular follow ups. Those responsibilities eventually have to move down to managers, engineers, lecturers, researchers, business development teams and project staff.

If those people were never involved in the original discussion, never properly briefed and never given clear responsibility, the MoU effectively becomes an agreement between two senior executives rather than a working relationship between two organisations. The signatures may be there, but the machinery required to turn those signatures into action has never been switched on.

The Missing Champion

If there is one recurring problem that I now look for immediately, it is the absence of a champion. Every partnership needs someone on both sides who feels personally responsible for making something happen. Without those individuals, everybody may support the collaboration in principle while nobody feels accountable for moving it forward.

This is where things can become almost comical. Senior management assumes business development will handle it, business development assumes the technical team will propose something, the technical team waits for management to provide direction, and everyone quietly expects the partner organisation to initiate the first activity. Unfortunately, the partner may be going through exactly the same internal confusion.

Months can disappear surprisingly quickly this way. Eventually someone notices that an MoU signed for three years has only six months remaining and suddenly an email appears asking whether both organisations should organise an activity before it expires. By that stage, the focus has shifted from building the partnership to proving that the partnership existed at all.

Why So Many MoUs Slowly Lose Momentum

Looking back at the MoUs and partnerships I have observed, several patterns repeatedly explain why good intentions fail to become tangible outcomes.

1. There Is No Named Owner

A partnership cannot survive on goodwill alone. Someone from each organisation must be clearly responsible for coordinating activities, arranging follow ups and keeping the relationship moving. If responsibility is distributed vaguely across several departments, everyone can reasonably assume that someone else is taking care of it.

2. There Is No First Project

One of the biggest mistakes is signing a broad agreement without identifying what both organisations will actually do first. Rather than beginning with a long list of possible collaborations, I now believe it is much better to identify one achievable activity such as a workshop, customer presentation, pilot deployment, research proposal, student programme, training session or joint solution. A small activity that actually happens is far more valuable than ten impressive possibilities that never leave the document.

3. There Is No Budget or Resource Commitment

Collaboration sounds easy until somebody has to pay for equipment, allocate engineers, provide facilities, fund travel or dedicate staff time. If these questions are not discussed early, both organisations may enthusiastically support an activity while quietly expecting the other party to provide the resources. Eventually the idea stalls because nobody has budgeted for it.

4. The People Doing the Work Were Not Involved

An agreement made entirely at senior management level can face resistance or indifference when it eventually reaches operational teams. Those teams already have targets, deadlines and responsibilities of their own, so asking them to support an activity they never planned for can make the collaboration feel like additional work rather than a shared opportunity.

5. Organisational Priorities Change

Three years can be a very long time inside an organisation. CEOs change, managers move, budgets disappear, departments are reorganised and strategic priorities shift. If an MoU depends heavily on one senior sponsor and has not developed working relationships between the teams below, the collaboration can quickly lose momentum when that person moves elsewhere.

6. The Agreement Tries to Cover Too Much

Some MoUs contain almost every possible form of collaboration imaginable, from research and training to commercialisation, technology development, student activities and international market opportunities. While this looks impressive on paper, it can make execution harder because nobody knows where to begin. Two clearly defined objectives with responsible owners and timelines can produce far more than fifteen broad areas of collaboration.

7. There Is No Timeline

Saying that two organisations will work together “in the future” is almost an invitation for delay. Unless activities have dates, milestones and review points, tomorrow becomes next month and next month quietly becomes next year. By the time everyone notices, much of the MoU period may already have passed.

8. Nobody Defines Success

Perhaps the simplest question is also one of the most frequently overlooked: what should exist at the end of the MoU that does not exist today? It might be trained students, research outputs, commercial deployments, joint customer proposals, new products or revenue. Without some measurable definition of success, an MoU can remain officially active for years while producing very little.

When the Expiry Date Suddenly Gets Everyone’s Attention

There is another situation that I have encountered often enough to find slightly amusing. An MoU remains quiet for most of its duration, then suddenly becomes important when someone notices that it is about to expire. Emails start circulating, meetings are proposed and eventually someone asks whether we should renew the agreement for another three years.

These days, my first question would be very simple: What did we accomplish during the current MoU?

I think that question should come before any discussion about renewal because extending an inactive agreement does not suddenly make the relationship productive. It merely gives inactivity a new expiry date. If both organisations have produced meaningful results, renewal makes perfect sense. If almost nothing happened, perhaps the better conversation is not about signing another document but understanding why the first one failed to move.

What I Would Do Differently Today

After going through these experiences, I have become much more careful about entering into another MoU simply because the opportunity sounds impressive or because the organisation involved carries a well known name. These days, I try to look beyond the signing ceremony and ask what will actually happen after everyone leaves the room. An MoU should create a clear path towards something meaningful, whether that means a commercial project, research collaboration, training programme, technology deployment or another measurable outcome. If we cannot explain what we intend to accomplish together, then perhaps we are not ready to sign anything yet.

Before agreeing to another MoU, I would want clear answers to these questions:

  1. Why are we signing this MoU? There should be a clear business, educational, research or operational purpose behind the relationship rather than simply gaining publicity, taking photographs or being associated with a recognised organisation.
  2. What will we actually do together? Before signing, I would prefer to identify at least one concrete activity that can begin soon afterward, such as a joint customer engagement, pilot project, research proposal, training programme, technology deployment or student initiative.
  3. Who owns the relationship? Both organisations should appoint specific people who are responsible for moving the collaboration forward. Senior executives may open the door and provide support, but someone must be responsible for the follow ups, meetings, activities and results.
  4. What happens in the first 30, 60 and 90 days? I would rather see a simple action plan for the first three months than an impressive list of possible collaborations covering the next three years. Early activities create momentum and quickly reveal whether both parties are genuinely committed.
  5. Who provides the resources? Every activity requires something, whether it is people, technology, facilities, equipment, funding or simply staff time. These responsibilities should be discussed openly before both sides discover later that everyone expected the other party to provide them.
  6. How will we measure progress? The MoU should have a few simple outcomes that tell us whether the relationship is actually producing something. This could include the number of projects started, students trained, proposals submitted, customers approached, research activities completed or revenue generated.
  7. How often will we review the partnership? I would prefer a simple quarterly review where both sides ask what has been completed, what is delayed and what should happen next. That is far better than suddenly remembering the MoU three weeks before it expires and scrambling to organise an activity simply to show that something happened.
  8. What commercial outcome are we seeking? For industry collaborations, we should not be uncomfortable discussing business. If the intention is to create market opportunities, develop solutions, reach customers or generate revenue, then both parties should understand how that is expected to happen and what role each organisation will play.
  9. Are the operational teams involved? The people who will eventually carry out the work should understand the collaboration before the photographers arrive. If the agreement exists only between senior management while the technical, business development, research or operational teams know nothing about it, the chances of meaningful progress become much smaller.
  10. Do we even need an MoU? This has become one of the most important questions for me. Sometimes a project agreement, purchase order, research contract, reseller arrangement, pilot agreement or even a small joint activity can move the relationship forward much faster. If two organisations genuinely want to work together, perhaps the best first step is simply to start doing something together.

That final question has become increasingly important to me because I have learned that formalising a relationship and building a relationship are two very different things. An MoU may provide structure and demonstrate commitment, but the document itself cannot create commitment. That comes from people who are willing to spend their time, resources and energy turning promises into actual work.

Not every relationship needs a ceremony, and not every collaboration needs to begin with two executives holding documents in front of a camera. Sometimes the strongest partnerships begin much more quietly, with two teams solving a small problem together, delivering something useful and discovering along the way that they actually work well together.

I Now Prefer Work First, MoU Later

My thinking today is almost the reverse of what it used to be. Previously, I saw the MoU as the beginning of collaboration, followed by activities that would eventually lead to projects and results. Now I increasingly prefer to begin with the relationship itself by identifying a problem, trying a small activity, proving that both teams can work together and then expanding from there.

If both organisations want to organise a workshop, let us organise it. If there is a customer opportunity, let us meet the customer. If we want to test whether two technologies can work together, let the engineers connect them. If a university wants students to learn using Favoriot, let us start with a class, a project or a training session. If there is a research opportunity, let us prepare the proposal. Once real activities are taking place and both organisations can see the value of continuing the relationship, formalising it through an MoU may make much more sense.

There is also a practical consideration for startups. Getting an MoU approved can itself take months because documents have to move through management, legal departments and several rounds of amendments before a signing date can even be arranged. I have reached the point where I sometimes wonder whether we could have completed a small project during the time spent negotiating the document that says we intend to work together.

For a startup, time is one resource we cannot casually waste. We need customers, deployments, partners who are willing to act and activities that produce results. Public recognition is useful, but it cannot replace commercial progress.

The Photograph I Would Rather See

I still appreciate the purpose of an MoU and I am not against signing one when there is a genuine reason to formalise a relationship. It can signal commitment, provide structure, strengthen trust between organisations and help communicate the partnership internally and externally. For a small startup working with a respected organisation, the recognition can also strengthen credibility, which should not be dismissed.

What has changed is what I consider worthy of celebration.

The photograph taken during the signing ceremony is nice, but I would now be much happier to see another photograph taken twelve months later showing students building real projects, engineers deploying a system at a customer site, researchers completing useful work, partners winning a joint project or a customer benefiting from something that both organisations created together. That second photograph may never appear in a newspaper and perhaps it will receive fewer likes on social media, but it tells a much more meaningful story.

The first photograph says, “We intend to work together.”

The second photograph says, “We actually did.”

After years of watching, pursuing and participating in MoUs, that difference has become very clear to me. The signing ceremony can create attention and the photograph can create a sense of progress, but neither guarantees that anything meaningful will happen afterward. The real test begins when the stage has been dismantled, the backdrop has been removed, the executives have returned to their offices and the social media post has disappeared down everyone’s feed.

That is when somebody needs to pick up the phone, schedule the first working meeting and ask the question that perhaps should have been answered before the signing ceremony:

“What are we actually going to do together now?”

That question may not produce a beautiful photograph, but answering it is where a real partnership begins.

I would love to hear how others have experienced this. Have you been involved in an MoU that eventually produced a successful project, research programme, commercial opportunity or long term partnership? Or have you seen one quietly reach its expiry date without producing anything meaningful? Please share your experience in the comments. I suspect there are many lessons hidden behind those smiling MoU photographs.

I Thought a Successful Pilot Would Naturally Become a Real Project. I Was Wrong

For a long time, I had a simple belief about pilot projects. If we could demonstrate that the technology worked, solve the technical problems encountered during testing, and show the customer that the solution could operate successfully in a real environment, then moving into a commercial deployment seemed like the natural next step. It made perfect sense from an engineering perspective. Why would an organisation spend months testing something, prove that it works, and then decide not to continue?

Over the years, I discovered that the real world does not always follow engineering logic. A successful pilot proves that something can work, but it does not automatically prove that a customer will buy it, that a budget exists, that management will continue supporting it, or even that the market will still exist when the pilot ends. Two projects in particular taught me this lesson. Both were government funded pilots, both involved technologies that we successfully tested, and both gave us reasons to believe there was a future beyond the pilot. Yet neither became the commercial project we had hoped for.

What makes these two experiences interesting is that they ended for completely different reasons. The first was affected by an extraordinary event that nobody could control. The second exposed weaknesses in the way we had qualified the customer and the commercial opportunity. Together, they changed the way I think about pilots and taught me that technical success is only one small part of building a sustainable technology business.

Raqib: When We Found a Market and Then the Market Disappeared

The first project was Raqib, a product we developed around 2018 and 2019. Raqib originally began as a smart elderly care solution, using connected devices to help families and caregivers monitor the location and wellbeing of elderly people. As we developed and tested the concept, we began to see another possible application that shared many of the same challenges: monitoring pilgrims performing Hajj and Umrah.

The problem made sense to us. Pilgrims often travel in large groups and move through unfamiliar places, sometimes in extremely crowded environments. Many are elderly, and there is always a possibility that someone becomes separated from the group or needs assistance. We believed that connected devices could provide tour operators and family members with better visibility of where pilgrims were and help them respond more quickly when something went wrong.

We decided to reposition Raqib towards this market and began testing the concept more seriously. We conducted local trials and asked several early users to carry the devices during their pilgrimage. I even tested Raqib personally during my own Umrah trip because I wanted to experience the product under the same conditions as our users. That field experience was far more valuable than testing the system from the comfort of our office because it exposed issues involving connectivity, battery life, device handling and actual user behaviour.

There were challenges, of course, but that did not discourage us. In fact, that was exactly what we expected a pilot to reveal. We identified the problems, worked on them and improved the system. By the end of those trials, we had become increasingly confident that the technology could work. We had moved beyond PowerPoint slides and laboratory demonstrations. Real users had carried the product into the actual environment for which it was designed.

From where I stood at the time, the next stage seemed obvious. We had tested the product, learned from the problems and improved it. Now we needed to build the market.

Then 2020 arrived, and everything changed.

COVID-19 Changed the Question Overnight

When COVID-19 spread across the world, international travel came almost to a standstill. Borders closed, flights were cancelled, Umrah travel was suspended for long periods, and Hajj participation was severely restricted. For Raqib, this was not merely an operational inconvenience. The very activity around which we had positioned the product suddenly became inaccessible to most international pilgrims.

There was nothing our engineering team could fix because there was nothing technically wrong with the product that could solve the situation. We could improve the software, extend battery life, redesign the interface or improve the platform, but none of those things could reopen international borders or bring pilgrims back to Makkah.

Initially, like many businesses, we did not know how long the disruption would last. Perhaps travel would resume after a few months. Perhaps the following pilgrimage season would return to normal. But uncertainty continued, and for a small company, waiting indefinitely carries a very real cost.

A product continues consuming resources even when customers disappear. Servers must be maintained, software requires updates, devices need support, engineers have to spend time fixing problems, and management must continue thinking about the product. More importantly, every hour and every ringgit spent keeping one product alive is a resource that cannot be spent somewhere else.

Eventually, we had to make a difficult decision. We could continue supporting Raqib while waiting for the pilgrimage market to return, without knowing when that would happen, or we could accept that circumstances had changed and redirect our limited resources elsewhere. We chose to shut down the service and move on.

It was painful because Raqib had not failed in the traditional sense. The technology had been tested. We had real users. We had solved many of the problems discovered during field trials. Yet the commercial opportunity disappeared because of something nobody on our team could have predicted or controlled.

That experience taught me my first major lesson about pilots: even when you do many things correctly, timing and external events can still determine the fate of a product.

The Second Pilot Taught Me a More Uncomfortable Lesson

Our second experience was very different because this time there was no pandemic, no global shutdown and no disappearing market. The project involved the Favoriot IoT platform and a local council that wanted to test the platform’s functionality, standards interoperability and ability to work with several of its existing smart city solutions.

From a technical perspective, this was exactly the type of challenge that interested us. Smart cities rarely operate with one system from one vendor. A council may already have different systems for parking, CCTV, environmental monitoring, flood monitoring, street lighting and other municipal services. These systems may have been purchased at different times from different suppliers, which often means they use different architectures, protocols and applications.

One of the values of an IoT platform is its ability to connect these different environments and make information available across systems. During the pilot, Favoriot successfully demonstrated that capability. We tested the platform’s interoperability and showed that it could work with several of the council’s existing smart city solutions.

Technically, the pilot achieved what it was supposed to achieve. Naturally, we were pleased with the outcome, and once again I believed that we had crossed the most difficult hurdle. If the platform had demonstrated its capabilities in the customer’s environment and met the pilot objectives, surely the next logical step would be a commercial deployment.

It never happened.

The local council eventually decided not to proceed with Favoriot as its platform. They had different ideas about how they wanted to move forward, and the commercial project that we had imagined never materialised.

This time, I could not blame COVID-19, market conditions or an unexpected global event. The technology worked, the market still existed, and the organisation continued pursuing its smart city ambitions. Yet our successful pilot did not become a commercial project.

That forced me to examine something much closer to home: perhaps we had been too focused on proving our technology and not focused enough on proving that there was a committed customer waiting at the other end.

A Pilot Participant Is Not Necessarily a Customer

This distinction seems obvious to me today, but when you are inside a pilot project it can be surprisingly difficult to recognise. A participating organisation can behave very much like a customer. People attend meetings, technical officers provide requirements, sites are made available, integration discussions take place, demonstrations are conducted and progress reports are written. Everyone appears engaged, so it is natural for the technology provider to interpret that activity as evidence of future commercial commitment.

But participation and purchasing intent are two very different things.

An organisation may participate in a government funded pilot because it wants to learn about a new technology, compare different approaches or satisfy the objectives of a particular programme. The technical team may genuinely like the product and the operational department may find the solution useful, yet none of these conditions necessarily means that someone has approved a budget to purchase it after the pilot.

Looking back, this was one of our biggest mistakes. We spent considerable effort answering the question, “Can Favoriot successfully do what the customer needs?” We did not spend enough time answering the equally important question, “If Favoriot proves that it can do this, is the organisation genuinely prepared to buy and operate it?”

Those are two completely different validations.

Government Funding Can Sometimes Hide the Real Market Signal

I remain supportive of government funded technology programmes because they can be extremely helpful for startups and local technology companies. They allow companies to test products in real environments, provide access to organisations that might otherwise be difficult to reach, and reduce some of the financial risks involved in experimentation. Without such programmes, many technologies might never get the opportunity to move from laboratory prototypes into actual field environments.

At the same time, founders need to recognise a weakness in this model. When someone else pays for the pilot, the participating organisation does not have to make the same financial decision it would face during commercial deployment. Trying a technology using grant funding is very different from allocating your own operational budget, going through procurement and signing a purchase order.

This can create a false sense of market demand. Everyone may be enthusiastic while the pilot is funded, but once the external funding ends, the organisation suddenly has to justify the expense internally. Management priorities are reconsidered, budgets must be found, procurement procedures begin, other projects compete for the same money, and the technology that looked important during the pilot may suddenly become optional.

If I were evaluating such an opportunity today, I would ask a much harder question before committing significant resources:

If the government funding disappeared tomorrow, would this organisation still be willing to pay for the solution?

The answer tells us far more about the commercial opportunity than enthusiasm during a demonstration.

Technical Validation Is Only One Part of a Successful Pilot

My engineering background naturally influenced the way I viewed pilots. We tend to focus on measurable technical questions. Does the device communicate reliably? Can the platform handle the required data? Does the API connect properly? Can different systems exchange information? Do alerts work? Is the dashboard displaying the correct information?

These questions matter, but they represent only technical validation. A commercially meaningful pilot must test several other assumptions at the same time.

First, we need to establish whether the technology genuinely solves the operational problem. Second, we need to understand whether the problem is painful enough for the organisation to spend money solving it. Third, we need evidence that the value created by the solution can justify its cost. Fourth, there must be people inside the organisation who are committed to moving forward. Finally, there must be a realistic procurement and budget pathway after the pilot.

A pilot can pass every technical test while failing all the commercial ones.

That was perhaps the biggest change in my thinking. I stopped seeing a pilot as merely a technical experiment and started seeing it as a test of the entire commercial hypothesis.

Lesson One: Find the Buyer, Not Just the Pilot Site

Today, one of the first things I would want to understand is who will actually buy the solution if the pilot succeeds. This can be complicated in government organisations and large enterprises because the person experiencing the problem, the person evaluating the technology and the person controlling the budget may all be different people.

The operational team may desperately want the solution. The IT department may approve the technology. Engineers may love the architecture. Yet if senior management has different priorities or there is no budget allocated, none of that enthusiasm guarantees a project.

Before committing significant resources to a pilot, I would want to understand who owns the problem, who owns the budget, who makes the final decision and how procurement will happen. I would also want to know whether those people are aware of the pilot and whether they have expressed any intention to proceed if it succeeds.

The question I should have asked more often years ago was remarkably simple: Who signs the purchase order when this pilot succeeds?

If nobody can answer that question, we should recognise the risk before we begin.

Lesson Two: Define What Happens After the Pilot Before It Starts

Another lesson is that success criteria should not stop at technical measurements. We may define that a platform must connect a certain number of devices, integrate several systems, achieve a particular uptime or demonstrate certain operational functions. Those are useful measures, but they do not tell us what happens when every technical box has been ticked.

Before starting a pilot, I would now want a discussion about the commercial next step. If the agreed objectives are achieved, does the solution move into production? Will deployment expand to more locations? Will the organisation request budget? Will a commercial tender be issued? When is the decision expected to happen?

Government procurement cannot always be guaranteed in advance, and I would never expect a pilot agreement to bypass proper procurement procedures. But there should at least be a credible pathway from technical success to commercial consideration.

Without that pathway, we may spend months building a bridge without checking whether there is a road on the other side.

Lesson Three: Look for Real Commitment

I have also become more cautious about completely free pilots. Free pilots can generate interest because they reduce the customer’s risk, but that same advantage makes it difficult to measure genuine commitment. When there is little cost to participate, organisations can experiment without having to make difficult internal decisions.

The customer does not necessarily need to pay the full commercial price during a pilot. Commitment can take many forms, including staff resources, infrastructure, integration support, access to operational data, management involvement or a smaller financial contribution. What matters is that the customer also has something invested in the outcome.

When both parties have something at stake, behaviour changes. Meetings become more serious, deadlines receive more attention and internal stakeholders are more likely to remain involved.

If the technology vendor is the only party carrying significant risk, the pilot can easily become an interesting experiment rather than the beginning of a commercial relationship.

Lesson Four: Ask What Could Stop the Project Even If We Succeed

This is perhaps one of the questions founders do not ask often enough. We spend so much time thinking about how to make a pilot successful that we forget to ask what could still kill the project afterward.

There may already be another preferred platform. A larger procurement exercise may be planned. Management priorities may change. The organisation may not have budget. The project may depend heavily on one internal champion who could be transferred to another department. Existing contracts may restrict what can be purchased. A new policy could change the direction entirely.

Understanding these risks before starting does not mean being negative. It simply means understanding the environment in which the technology will eventually have to survive.

A technically successful pilot does not remove organisational, political, financial or procurement barriers. Those barriers need to be identified and managed separately.

Lesson Five: Separate Bad Luck From Bad Decisions

Perhaps the most personal lesson from these two experiences was learning to distinguish between circumstances we could not control and mistakes we could have avoided.

COVID-19 was outside our control. We could not reopen borders, restart international pilgrimage or predict exactly when travel would return. The lesson from Raqib was therefore not that we should have somehow predicted a global pandemic. The lesson was that small companies need to manage exposure to external shocks, avoid becoming overly dependent on a single market condition, and be willing to stop investing when the economics no longer make sense.

The smart city pilot was different. We had greater control over how we qualified the opportunity. We could have asked harder questions about customer commitment, budget ownership, management support and the procurement pathway before investing significant time and resources.

This distinction matters because founders should neither blame themselves for everything nor blame circumstances for everything. When something does not work, I now try to ask whether the cause was within our control. If it was, the lesson should become part of our process. If it was not, the lesson should strengthen the way we prepare for uncertainty.

Lesson Six: Design the Pilot Backwards From Commercial Deployment

If I were designing these pilots today, I would begin from the end rather than the beginning. Instead of asking, “What technology should we demonstrate?” I would first ask, “What needs to be proven for this customer to confidently move into an operational deployment?”

That small change in perspective produces a very different pilot.

If management needs evidence of cost savings, the pilot should measure those savings. If cybersecurity approval is required, security requirements should be tested during the pilot rather than discussed afterward. If interoperability is the main concern, the pilot should prove interoperability with the systems that matter. If procurement requires a business case, the pilot should collect the operational and financial evidence needed to build that case.

Every activity in the pilot should reduce one of the uncertainties preventing the customer from moving forward.

When viewed this way, a pilot is no longer just proof that the technology works. It becomes a structured process for removing the reasons a customer might hesitate to deploy it.

The Dangerous Comfort of Being Busy With Pilots

There is another uncomfortable lesson that took me longer to appreciate. Technology companies can become very busy doing pilots without actually building a sustainable business.

Pilots create activity. There are meetings, presentations, site visits, demonstrations, progress reports, launch ceremonies and photographs. Engineers are busy solving interesting problems, customers are talking about the technology, and management feels that the company is making progress. Sometimes the pilot even receives publicity, which makes everything look even more promising from the outside.

Then the pilot ends. The final report is submitted, everyone shakes hands, photographs are taken, and a few months later the system is no longer operating.

A startup cannot survive indefinitely on demonstrations, no matter how successful those demonstrations appear. At some point, somebody must value the solution enough to pay for it, operate it and continue using it.

That is why I no longer measure the success of a pilot only by whether we achieved the technical objectives. I also ask whether the pilot moved us closer to an operational deployment and a paying customer.

The Questions I Would Ask Before Accepting Another Pilot

If another organisation approaches Favoriot today and says, “Let us run a pilot,” I will still be interested. Real world testing remains extremely useful, particularly in IoT where laboratory conditions rarely represent what actually happens at a customer site. But my enthusiasm is now accompanied by many more questions.

Before committing significant resources, I would want to understand the operational problem, its seriousness, who owns it, who will use the solution, who controls the budget and who has authority to approve deployment. I would ask what success looks like, what business outcome is being measured, whether there is a budget after the pilot, how procurement could happen and what circumstances might still prevent the organisation from proceeding.

I would not expect perfect answers. Large organisations are complicated, and government projects often involve long budget and procurement cycles. What matters is whether there is a believable commercial path beyond the experiment.

The answers help me distinguish between two opportunities that can look almost identical at the beginning: a pilot designed to explore technology and a pilot designed to become an operational project.

Both have value, but they should not be confused.

Perhaps the Real Pilot Is the Business Model

Looking back at Raqib and the Favoriot smart city project, I realise that we were testing much more than technology. Without fully recognising it at the time, we were testing timing, market readiness, customer commitment, organisational priorities, procurement realities and our own assumptions about how technology moves from experimentation into daily operations.

Raqib taught me that sometimes you can build something useful and still arrive at exactly the wrong moment. The smart city pilot taught me something more uncomfortable: proving that your technology works does not prove that a commercial customer exists.

Those lessons have stayed with me.

Today, when someone suggests another pilot, the engineer inside me still becomes curious. I immediately start thinking about devices, APIs, connectivity, architecture, interoperability and what we could demonstrate. But experience has taught me to ask another question before becoming too enthusiastic:

If we succeed, what happens the morning after the pilot ends?

Will the equipment remain installed? Will the platform continue running? Will the solution become part of the organisation’s daily operations? Will somebody allocate a budget and issue a purchase order, or will everyone shake hands, take a photograph and move on to the next experiment?

After experiencing both outcomes, I no longer believe that the purpose of a pilot is simply to prove that technology works.

A good pilot proves the technology. A better pilot proves that the technology creates measurable value. The best pilot proves that a real customer is willing to keep using and paying for it after the experiment is over.

That is the difference between demonstrating technology and building a sustainable business. It took me two very different pilots to understand that difference, but it is a lesson I now carry into every new opportunity.

Have you ever completed a pilot that everyone considered successful, only to discover that the commercial project never came? What stopped it, and what would you do differently today? I would be very interested to hear your experience in the comments.

Why I Started Calling It Operational Blindness

“There has to be a better way to describe what I’ve been seeing.”

For years, that thought kept returning whenever I met customers. It followed me into boardrooms, factories, utility plants, government agencies, and Smart City command centres. Every meeting seemed different on the surface, yet they all ended with a similar feeling that something important was missing.

At first, I believed the problem was technology. I thought organisations simply needed more sensors, better connectivity, or a more capable IoT platform. Later, as artificial intelligence became the latest trend, I wondered if AI would finally solve the problem that had frustrated me for years.

The more I observed, the more I realised I had been asking the wrong question. The problem was never about having more technology. It was about why organisations continued making poor operational decisions despite having so much technology around them.

The Promise That Didn’t Match Reality

When I co founded Favoriot, I genuinely believed that if organisations could connect their devices and continuously collect operational data, better decisions would naturally follow. It sounded logical because connected systems should produce better visibility, and better visibility should improve operations.

That belief shaped much of our early thinking. We focused on connecting sensors, collecting data, building dashboards, and making information available in real time. Technically, everything worked exactly as we intended.

Then I started spending more time with customers.

Everything Looked Digital

I visited factories with sophisticated production monitoring systems. I walked into utility control rooms filled with SCADA screens and large video walls. I met building operators who proudly demonstrated their Building Management Systems, while Smart City command centres showcased dashboards that displayed hundreds of live data feeds.

Everything looked impressive. From the outside, these organisations appeared highly digital, highly connected, and fully in control. If someone judged only by the technology they saw, they would probably conclude that these organisations had already solved their operational challenges.

Yet the conversations told a completely different story.

The Same Answers Everywhere

Whenever I asked simple operational questions, I kept hearing remarkably similar responses.

“We’re still investigating the root cause.”

“Nobody realised the equipment had been deteriorating.”

“The maintenance team wasn’t informed in time.”

“Operations thought Engineering was handling it.”

“We have the data, but we’ll need time to retrieve it.”

These weren’t isolated incidents. They appeared in manufacturing, water utilities, agriculture, energy, healthcare, environmental monitoring, and Smart City projects. Different industries were using different technologies, but they were all struggling with surprisingly similar operational problems.

Technology Wasn’t the Missing Piece

As an engineer, I naturally tried to solve the problem by looking at the technology. Perhaps organisations needed more sensors. Perhaps they needed more dashboards or more sophisticated analytics. When AI became widely available, I even wondered whether intelligent algorithms would finally close the gap.

But the gap remained.

The more technology organisations deployed, the more puzzled I became. Multi million ringgit projects still depended on phone calls to verify incidents. Teams still relied on WhatsApp groups during operational emergencies. Reports still arrived after problems had already caused financial losses, and managers continued making decisions using fragmented information collected from disconnected systems.

The Frustration Started Growing

There were many evenings when I drove home replaying customer conversations in my head. Why does this keep happening? Why are organisations still surprised by problems they should have detected much earlier? Why do sophisticated dashboards still fail to prevent operational failures?

Those questions stayed with me because I couldn’t find a satisfying answer. Every new customer seemed to reinforce the same pattern instead of challenging it. It became increasingly difficult to believe that another dashboard or another AI model would somehow solve the underlying issue.

Slowly, I realised that I wasn’t looking at a technology problem. I was looking at something much deeper.

It Was Never About Data

One of the biggest turning points came when I realised organisations were not suffering because they lacked data. In fact, many had more operational data than they knew how to use. Sensors, PLCs, SCADA systems, ERP platforms, and IoT solutions were already generating enormous amounts of information every second.

The problem was that data does not automatically create understanding. Thousands of sensor readings cannot explain which issue deserves immediate attention. Beautiful dashboards cannot tell people which decision will prevent tomorrow’s failure. Artificial intelligence cannot produce reliable recommendations when operational information is incomplete, delayed, or disconnected from business context.

What organisations lacked was not data.

They lacked operational visibility.

Finding the Right Words

The phrase didn’t appear during a conference or while preparing a presentation. It arrived during one of those quiet moments when years of observations finally began connecting together.

This isn’t a data problem.

This isn’t an IoT problem.

This isn’t even an AI problem.

People are making decisions without seeing the complete operational reality.

Almost immediately another thought came to mind.

They’re operationally blind.

Operational Blindness.

The moment I spoke those words, everything suddenly made sense.

Suddenly the Pattern Was Obvious

Operational Blindness explained why organisations reacted instead of anticipated. It explained why departments worked in isolation despite sharing the same objectives. It explained why dashboards could display everything in green while operational performance quietly deteriorated underneath.

I began seeing Operational Blindness everywhere. A leaking pipeline that remained unnoticed until millions of litres of treated water had been lost. A machine whose vibration gradually increased until production stopped unexpectedly. A hospital where maintenance records were scattered across disconnected systems. A commercial building where energy costs quietly increased month after month because nobody recognised abnormal patterns early enough.

Different industries. Different technologies.

Exactly the same operational condition.

It Changed How I Saw Favoriot

That realisation also changed how I described our own company.

For years, I introduced Favoriot as an IoT platform because that was technically correct. Over time, I realised customers were rarely looking for another platform. They were looking for a way to stop recurring operational surprises, reduce uncertainty, and gain confidence in their daily decisions.

Customers don’t buy dashboards simply because they look attractive. They invest because they want fewer failures, lower operating costs, better compliance, improved reliability, and stronger business outcomes. The platform is only one part of that journey.

A Bigger Mission

Today, I no longer see Favoriot simply as a company that connects devices. I see it as helping organisations reduce Operational Blindness by connecting fragmented operational data, providing meaningful context, supporting faster decisions, and enabling coordinated actions across different teams.

That mission extends beyond IoT. It applies equally to manufacturing, utilities, healthcare, agriculture, logistics, smart buildings, critical infrastructure, ESG reporting, and even cybersecurity. Wherever operational decisions depend on trusted information, Operational Blindness can exist.

As artificial intelligence becomes increasingly capable, this challenge becomes even more significant. AI cannot compensate for missing operational context, disconnected information, or delayed data. Before organisations can become AI driven, they must first become operationally aware.

More Than Just a New Phrase

Looking back, I sometimes smile at how long it took me to recognise what had been sitting in front of me all along. I thought I was building an IoT platform, but what I was really trying to solve was a much larger operational problem that existed across almost every industry.

The phrase Operational Blindness represents years of customer conversations, personal frustrations, lessons learned, and moments of clarity. It gave me a way to describe a problem that many organisations experience every day but struggle to explain.

Perhaps the most meaningful breakthroughs don’t always come from inventing new technologies. Sometimes they come from finding the right words to describe a challenge that everyone has experienced but nobody has been able to name.

Have you ever experienced Operational Blindness in your own organisation? I would love to hear your story because every experience helps us understand this challenge better, and every lesson brings us one step closer to building organisations that can truly connect, see, and act.

Stop Selling “Smart City.” Start Selling the Thing That Actually Works.

A colleague in Bangkok sent me something last month that made me stop scrolling.

He’d been reviewing procurement data across a handful of ASEAN municipalities, trying to understand why so many “smart city” line items in city budgets kept getting quietly renamed, restructured, or dropped altogether after year two. Not cancelled outright. Just… rebranded into something else. A flood monitoring project. A cold chain upgrade. A dengue alert system.

Same money. Same sensors, half the time. Different name on the invoice.

Why does that happen?

The label became the liability

Here’s the uncomfortable finding buried in that data: in the very countries where “smart city” programs have run the longest, the term itself has started to carry baggage. Mention it in a council meeting now and you get polite nods and quiet skepticism. People have seen the glossy master plans. They’ve seen the dashboards nobody looks at after the ribbon-cutting. “Smart city” has become shorthand for over-promised and under-delivered, and everyone in the room knows it, even if nobody says it out loud.

I’ve sat in enough of those rooms myself, going back to my REDtone IoT and FAVORIOT days, to recognize the exact moment a pitch loses the audience. It’s not when the tech is weak. It’s the second you say “smart city” as the category, instead of naming the actual problem you’re solving.

Compare these two openings.

“We’re deploying a smart city platform for your municipality.”

Versus:

“We’re building a system that tells you a flood is coming to Nakhon Si Thammarat 36 hours before it hits, instead of after.”

One is a category. The other is a promise you can be held to.

Nakhon Si Thammarat isn’t hypothetical

I keep coming back to Nakhon Si Thammarat because it’s not a thought experiment. That province has taken real, repeated flood losses, year after year, the kind that show up in disaster relief budgets and insurance claims long before anyone writes a case study about them. Nobody there needs convincing that flood early warning has value. The ROI narrative writes itself: fewer evacuations done blind, fewer bridges washed out with no warning, fewer farmers finding out their fields are underwater from a neighbor’s phone call instead of a sensor.

That same budget line could have been labeled “smart city resilience initiative.” Would it have moved as fast through approval? I doubt it.

Vertical, not category

This is the part I think a lot of us in the industry got backwards for years. We built the category first, dengue and flood and cold chain as features, sub-modules living inside something bigger called Smart City. It felt efficient. One platform, many use cases, one procurement conversation.

But procurement doesn’t buy platforms. Health ministries buy outbreak prevention. Disaster management agencies buy lead time. Cold chain operators buy spoilage reduction they can put a ringgit figure next to. Nobody in those rooms has a budget line called “digital transformation.” They have a budget line called “vaccine wastage,” and that number is already too high, and somebody upstairs is asking why.

Cold chain monitoring, dengue and health surveillance, flood and disaster response, environmental monitoring, these are not features of a smart city. They are the smart city, minus a label that’s stopped helping and started hurting.

The money still often sits inside a smart city budget allocation. That part hasn’t changed. What’s changed is what you say out loud in the pitch meeting.

What I tell founders now

When a founder asks me how to position an IoT solution for government or municipal buyers these days, I tell them the same thing every time: find the named domain. Not the umbrella term. The named domain.

Don’t say you do smart agriculture. Say you cut fertilizer waste for palm oil smallholders by a measurable percentage. Don’t say you enable smart healthcare. Say you cut the time between a dengue cluster forming and a health officer knowing about it, from weeks to days.

Is this just marketing, a coat of paint on the same technology? Partly, yes. But it’s also something more honest than marketing. It’s an admission that “smart city” was always too big a promise for any single vendor, any single deployment, any single budget cycle to keep. The category asked cities to imagine a transformed future. The vertical asks them to solve a problem they already have a number attached to.

I’ve watched too many pilots die waiting for the transformed future to arrive. I’d rather help ship the flood warning that works.

The question worth sitting with

If you’re building or selling IoT into government right now, ask yourself honestly: could a mayor explain what you do in one sentence, using a number, without saying the words “smart city” at all?

If the answer is no, you don’t have a weak product. You have a pitch still hiding inside a category that’s already lost the room’s trust.

I wrote a deeper technical take on this over at IoT World.