Coderon Training Executive AI Literacy
Executive AI Literacy
A half-day session for owners and managers — informed AI decisions: where the value is, where the risk is, and how to lead the team through change without the pilot trap.
Most companies do not lose on AI because of bad technology — they lose because of decisions made without the language to judge what a vendor is actually proposing, what it will cost, and what happens when a pilot has to be maintained. This session gives executives that language — without the hype and without the code — so AI decisions are deliberate rather than reactive.
Who it is for
A session for people who decide about AI rather than write the code — owners, boards and managers of small and mid-market companies. It is most useful for people facing a concrete decision: build or buy, where to start, and how to hold the result accountable.
How we run it
A half-day workshop built on real cases and decisions, not slideware. Co-led by an engineer and a certified coach — pairing the technology side with the leadership side. You work on decisions close to your own, not on abstractions. The session connects naturally into the leadership coaching track.
What you take away
- The ability to discuss AI in specifics — model, RAG, agent, evaluation, guardrails — without the technical jargon
- The ability to spot high-return processes in your own company and tell them apart from impressive but empty ideas
- An understanding of why most pilots never reach production, and how to avoid it
- The ability to make the build-vs-buy call deliberately, accounting for cost and vendor lock-in
- Roles, accountability and the basics of governance and the EU AI Act for AI in the organisation
AAgenda
What AI really is (and is not)
- Generative AI and agents — capabilities and limits, without the hype
- What changes in your processes vs. in your product
- A decision-maker's glossary — model, RAG, agent, evaluation, guardrails
Where the value is, where the risk is
- Choosing high-return processes in an SME
- Why most pilots never reach production — and how to avoid it
- Cost, vendors and the build-vs-buy decision
Leading the organisation through change
- Adoption, roles and accountability for AI
- EU AI Act and governance basics for decision-makers
- How to set goals and measure impact
BWhat you will learn
- Make AI investment and prioritisation calls deliberately
- Ask teams and vendors the questions that expose weak ideas
- Know how not to get stuck in the "pilots that never ship" trap
- Set boundaries, risk appetite and governance for AI
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