02 — Executives & managers
AI training for business leaders and executives
For the people signing off AI budgets. Strategy, ROI, risk and change management — enough technical grounding to interrogate a proposal without needing a translator.
- For
- Executives & managers
- Modules
- 6
- Delivery
- On-site or remote
- Length
- Scoped per cohort
Why this programme
The expensive AI mistakes are rarely technical. They are made upstream, by people deciding what to fund — usually because nobody gave them a straight answer about what these systems actually do.
This is that straight answer, pitched at people who do not write code and should not have to.
Curriculum
What it covers
What these systems actually do
A working mental model of how a language model produces output — enough to predict where it will fail, without a maths lecture.
- Foundations
- Mental models
Strategy and ROI planning
Sizing an AI initiative honestly: what it costs, what it saves, how long before either shows up, and which of your processes are genuinely candidates.
- Strategy
- ROI
- Prioritisation
Risk, ethics and governance
Data handling, hallucination exposure, IP and regulatory direction. What belongs in your internal AI policy, written in plain language.
- Risk
- Ethics
- Policy
Implementation roadmaps
Sequencing adoption so early wins fund later work — and so the organisation is not asked to change everything at once.
- Roadmap
- Sequencing
Change management
The part that decides whether adoption sticks. Handling the team that is enthusiastic, the team that is quietly resistant, and the one convinced it is being replaced.
- Adoption
- Communication
Reading a proposal or vendor pitch
The questions that separate a real capability from a demo — and the answers that should worry you.
- Vendor assessment
- Due diligence
What the team can do afterwards
- Size an AI initiative with defensible numbers
- Tell a genuine opportunity from an expensive distraction
- Interrogate a vendor pitch without a technical translator
- Draft or challenge an internal AI policy
- Sequence adoption so it survives the first setback
Who it’s for
- Executives setting AI strategy and budget
- Department heads asked to "do something with AI"
- Product and programme leadership
- Boards and steering groups needing shared vocabulary
Prerequisites
- No technical background required
- Bring a real initiative under consideration
Delivered personally by Viren Gajjar
Questions
About AI Fundamentals for Business Leaders
Is this too basic for a technical leader?
It is pitched at decision-making rather than implementation, so a hands-on engineering leader may prefer the developer programme. Many organisations run both — leadership and engineering leave with the same mental model, which is usually where the friction was.
Can it be run as a short briefing?
Yes. A condensed leadership briefing covers strategy, risk and roadmap; the fuller programme adds change management and hands-on evaluation.
Will we leave with something concrete?
Yes — participants work on a real initiative from their own organisation and leave with a sized, sequenced roadmap for it rather than general principles.
Ready to scope a cohort?
Tell me the team size, their starting point and what you need them to be able to do afterwards. You’ll get a proposed shape and a fixed quote back.
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