AI for Decision Makers.
Cut through the noise: make AI decisions with clarity and confidence – based on evidence, not buzzwords. For leadership teams deciding on AI budgets.
Build, buy or wait – with criteria instead of gut feel
Every AI investment comes down to one of three decisions. The workshop gives you the frame for each – with the signals that point to it.
Build your own AI capabilities – where your codebase and your data are the difference.
- Your software is core to your differentiation
- Data ownership and data residency are business-critical
- You have engineering capacity that can carry it
Buy tools that know your context – instead of building something generic yourself.
- The process is standard, the problem isn't unique
- Time-to-value matters more than building in-house
- Jira, Confluence and GitHub are already your backbone
Waiting deliberately is a decision – with criteria and a review date, not procrastination.
- The data situation is unclear or scattered
- Regulatory questions are open
- No lever that pays for itself within 12 months
Questions you'll answer yourself afterwards
Where does our organisation stand on AI readiness – and how do we measure it?
Which AI investment pays for itself within 12 months?
Build, buy or wait – and with what reasoning?
Which risks do we accept deliberately: data residency, vendor lock-in, shadow AI?
What do we measure after 90 days – and who owns it?
What you take home
- A decision framework for build, buy or wait – with criteria and signals
- An honest read of your AI readiness along the six Monitor dimensions
- An AI position you can defend in the boardroom
- A measurement plan: what gets checked after 90 days – and who owns it
Anchored in research and product
The workshop builds on the AI Monitor – the research project Teklens publishes with ETH Zurich and the University of St. Gallen. You decide based on six validated readiness dimensions, not slides. And where a tool is the right answer, we show honestly what Teklens can do – and what it can't.
Frequently asked questions
Not sure which package fits?
30 minutes with the founder team. We'll tell you if none of them fits, too. No sales.