Strategy for leaders
Leaders are asked to make decisions about AI before they have had a chance to see how AI systems are built and where they fail. This training explains how they work, in enough depth for a leader to ask the right questions.
We use examples from your sector and, where possible, the decisions you are facing now.
What the training is about
When an AI project disappoints, a weak model is rarely the cause. More often the problem was poorly defined, the data was not ready, the integration was underestimated or nobody agreed on what success meant.
The training walks through the life of an AI project from idea to production, and shows at each step what a leader should check and which warning signs to watch for.
Who it is for
Executives and board members
Setting direction and budget for AI work across the organization.
Department and project managers
Proposing, running or approving AI projects in their own area.
Digital transformation teams
Building the roadmap and coordinating work between business units and technical teams.
Topics
We agree with you in advance which of these matter most for your group and spend the most time on those.
- What current AI systems can and cannot do, explained without jargon
- Choosing problems worth solving, and recognizing ones that are not ready
- Data, integration and operating costs that come after the prototype
- Buying a product, using an API or building your own
- Evaluating vendors and partners: questions that show whether they understand your problem
- Risk, regulation and data protection
- Measuring whether a project is working
Frequently asked questions
Do executives need a technical background for AI strategy training?
No. We explain technical ideas only as far as the decisions require. Participants do not need a background in software or mathematics.
Can the training use AI projects or vendor proposals we are evaluating?
Yes. If you share them, we can use them as case studies during the session.
Plan a training program with us
Tell us about your team and what you want them to be able to do. We'll get back to you.
From our blog
All articles
How to tell whether an AI partner understands your business
The questions and conditions behind an AI proposal reveal whether the partner understands the business well enough to recommend what to build.
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How much does an AI agent cost? It depends on what you let it do
AI agent projects can cost $8,000 to $250,000 or more. Estimate how permissions, integrations, exceptions, data readiness, and oversight affect the budget.
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Why AI projects stall after the prototype
AI makes drafts and prototypes cheap. The advantage moves to organizations that can choose the right work, stop the rest, and finish what matters.
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