An AI Strategy for Executives: Where Do You Actually Start?

Most boards talk about AI as if it were an IT project. Something for the floor below. A tool you buy and roll out.

That is a misunderstanding that costs you money later.

AI touches how your organisation makes decisions, how your people work, and which skills will still hold value in five years. Those are board questions. And still I see many senior leaders who delegate the conversation because AI is not really their thing.

That is where I want to start.

Learn To Use It Yourself. Really.

You do not need to become a prompt engineer. But you do need to know how it feels to work with these tools.

Write a tricky email with AI. Have a strategy memo summarised. Prepare a difficult conversation. You learn quickly where the technology is strong and where you need your own judgement.

Because once you use AI yourself, you recognise AI text instantly. Those smooth, tidy sentences. That overdone enthusiasm. Texts that sound profound but actually do not say much. Everyone around you recognises it by now too.

Say you send out a company-wide message that clearly came from ChatGPT. People see that. And they draw a conclusion about you. Your authority drops at the moment you least expect it. You wanted to be efficient and you came across as lazy.

Whoever has handled the technology themselves avoids that kind of blunder. You know when AI helps and when your own voice is needed.

Frontrunner or Follower? It Depends on Your Context

There is a real debate about timing. Two possible courses.

The frontrunner experiments early. Invests. Finds a path alone, makes mistakes, builds knowledge that competitors still lack. That costs money and it costs calm in the organisation.

The follower waits for the best practices to surface. Lets others learn the expensive lessons and adopts what works. Cheaper. But you fall behind, and sometimes that gap is hard to close.

Which posture fits depends on who you are.

Do you work in a sector with people who have an affinity for technology and AI? Where many processes run that may not be complex, but also do not call for a brand new creative solution every time? Think of a logistics or e-commerce business. Stable, repeating processes and people who understand how systems work. There agents are ideal and waiting is risky.

Do you work in a sector where a lot happens by hand, where the work is less process-driven? Think of a cleaning company. There the room for AI is smaller. Then it is wiser to take targeted steps and let the market do its work.

Looking honestly at your own situation is the whole craft here. Choose what fits your people and your market.

Safety: Involve Legal, but Keep Your Common Sense

Here you have to do two things at once.

Involve your lawyers early. Make sure no personal data or sensitive company data ends up in a public LLM. That is a real risk and the consequences can be large. Make agreements, choose the right tools, train your people on what is and is not allowed.

Stay within the rules. There is no debate about that.

And still I see organisations overshoot. Everything gets locked down out of fear. Every pilot has to pass three committees. The result is that nothing happens, while your competitor simply keeps working.

Too much legal thinking costs you your lead. Stay within the rules and keep your pace at the same time. That is the balance a board has to guard.

Autonomous Agents Move Faster Than You Think

The biggest change right now sits in agents. Small autonomous programs that carry out tasks on their own. Not a tool you operate, but a digital colleague that finishes work.

An example makes it concrete. A customer emails a complaint. The agent pulls up the file, checks the record, and assesses whether the complaint is justified. Is it valid? Then the agent can issue a refund itself and write an apology email. A human reviews things at the back end. And customers can object if they disagree with a decision. When this is done well, it saves time and money.

For repetitive processes the gain is enormous. And here is the striking part. Connected agents learn from each other. That can move fast.

Look at Prosus. With 40,000 employees, the company now runs more than 60,000 agents. Their own research shows a pattern that every board should know. Around 2% of active agents drive the bulk of the business impact.

That is a strategic lesson. You do not have to automate everything at once. You find the few places where agents make a real difference, and there you go all in.

HR Strategy: Which People Become More Important?

This is perhaps the conversation that gets avoided the longest.

Technical knowledge becomes worth less. Not worthless, but less scarce. AI can take over more and more of the work that used to need a specialist.

What rises in value are human skills. Curiosity. Judgement. The ability to connect. Coaching others. Handling change well.

That has consequences for who you consider important in your organisation.

The colleague who knows a great deal but is a mediocre team player becomes less central. And the person who brings people along, creates calm, and can move with uncertainty becomes indispensable. Research points the same way. The value of work moves from pure productivity toward human skills and meaning.

As a board, your promotions and your reviews decide what you reward. That is a choice you make now, not in three years. For leaders wrestling with these questions at the highest level, executive coaching amsterdam is a logical place to sharpen them.

Start Small. Make Someone Responsible.

The biggest mistake is waiting for the perfect plan. It does not come.

Run small experiments. Say you are a scale-up. Have your sales team use AI for a week to summarise and follow up on call notes. Measure what it delivers. Small, contained, measurable.

What works, you scale up. What does not work, you drop without regret.

And appoint someone. An AI ambassador who collects the small experiments and grows the good ones step by step. Someone with energy for the topic and standing in the organisation. Without an owner, every initiative evaporates. If you want to anchor this across the organisation in actual behaviour, a form of leadership development program is often the step that turns experiments into a new way of working.

To Close

An AI strategy for the board is about leadership. About understanding what is happening yourself, looking honestly at your context, and bringing your people along with something that can feel frightening.

You do not have to get it right in one go. You do have to understand it yourself. Running into this as a board member and want to think it through for your own situation? Interested or curious? Let's chat. Plan your free introduction here. Zero obligation.