The Boardman International Blog shares insights from Boardman Members. In this post, Oguzhan Gencoglu writes that in the AI era, the speed of learning what your users want and need defines your success.

The traditional rhythm of corporate governance is comfortable. We have quarterly reviews, annual strategies, and 5-year capital expenditure plans. In the past, this cadence matched the market. Industrial cycles took years; factories were built to last decades.

That world is changing rapidly.

Your Product Cycles are Shrinking, Not Your Governance

AI is trimming product cycles significantly whether you are a software company or not. The timeframe for information retrieval, insight creation, and innovation is rapidly decreasing. While the laws of physics haven’t changed, e.g. building a factory or a ship still takes time, the information layer around those physical assets has accelerated. And it is only the beginning.

A competitor evaluating whether to enter a new geography used to commission a six-month market study. Today, they can do meaningful customer discovery and demand analysis in weeks. Pricing, configuration, service models, spare parts logistics are all increasingly software-driven layers around your physical product. Right now these move at a pace that has nothing to do with your manufacturing cycle.

When board agendas in large companies move at the old industrial tempo, the result is a structural mismatch. Management is pushed to “move fast with AI”, while the governance model assumes that reality changes slowly. In practice, the board frequently ends up debating yesterday’s risks instead of today’s bottlenecks.

Culture of Measurement

Growth chokes on the unseen. In every company I have worked with, the single biggest unlock was the same: find the bottleneck. This sounds obvious, but is not.

Most organizations operate with surprisingly little real-time visibility into where value gets stuck. Is it tech? Talent? Market fit? Distribution? Strategy reviews often end up relying on narratives, not numbers. Decisions get made on conviction rather than evidence. If the management team can’t answer “where is the bottleneck?” with data, the board can’t govern momentum.

The board has a role here that goes beyond oversight. If the company does not have a culture of honest, fast measurement, no amount of strategic discussion will compensate. Boards should ask a simple yet rather uncomfortable question more often: “How do we know this is true?” If the answer is a feeling or “vibes”, the company is flying blind and the board is approving the flight plan.

Patient on Returns and Ruthless on Evidence

Strategic patience is not slow governance. Some bets such as international expansion or enterprise go-to-market need several years before cash-flow and even longer horizons to judge properly. But patience is about profit, not learning. The board can be patient on returns and ruthless on evidence: weekly leading indicators, clear stage gates, and pre-agreed kill/iterate/scale rules. This is not a call for dashboards or data theater.

Learning Speed is the New Moat

It is easy to agree that ideas are cheap and execution matters. And it is not difficult to realize that there will be more players in any execution race due to AI removing certain barriers of entry. Considering AI tools are already commoditized, i.e., everybody having the same AI accessibility, speed of execution becomes the differentiator. A valid question to be asked here is: “Executing what?”

There is no example of success where the perfect execution plan was laid out once and it was followed without any changes or updates or pivots. Plans have to be updated all the time simply because we always have to make decisions with limited information. Therefore, the speed of learning what your users want and need defines your success. Learning faster than everyone else and executing fast under the light of right information is becoming a true moat in the AI era.

That learning speed depends on two loops: how fast the company can test ideas, and how fast the board and owners update their own beliefs about the business. If either loop is slow, the organisation drifts into comfortable irrelevance. Still busy, still reporting, but no longer compounding insight.

Three tips for a faster‑learning board

First, make learning an explicit agenda item. Instead of only reviewing performance, ask in every meeting: “What did we learn from our customers since the last board meeting that should change our view?” If there is no good answer, that is a signal in itself.

Second, demand experiments, not just plans. For each strategic theme, ask management to propose a small number of concrete experiments with clear success metrics and timelines. The question is not “Is this the perfect strategy?” but “What is the fastest, cheapest way to find out if this direction is wrong?”

Third, get closer to real users than your dashboards allow. That can mean board members periodically listening to customer calls, visiting product teams, or reading a raw sample of user feedback without filters. The point is not micromanagement; it is to anchor decisions in reality rather than in slideware.

About the Author

Oguzhan Gencoglu is an AI expert, serial entrepreneur, Boardman member, and currently Director of AI at ICEYE.

Boardman’s mission is to help companies and decision-makers to succeed by developing expertise in ownership, board governance and leadership. Our network includes over 800 international and Finnish members – owners, board members, business executives and entrepreneurs. We offer our members high-quality events where they learn, share their expertise and expand their professional network.

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