AI Leadership for Non-Technical Managers: Shape AI decisions in your company

Learn predictive AI, generative AI, agentic AI, deterministic automation and RPA, each in one plain sentence with where you will hear it.

Classify real AI pilots by type, so you can tell what a tool is actually for the moment it is named in a meeting.

Build an AI vocabulary cheat sheet with examples from your own function, that you keep and reuse.

Spot the five common patterns of weak AI thinking, using worked examples from a realistic running case study.

Tell outputs from outcomes, and find where inflated assumptions hide in the business case.

Form a position you can hold in the room, instead of deferring to whoever sounds most technical.

Apply the Five Routes (fix the process, keep it human, deterministic automation, AI assistance, agentic AI) to any proposal.

Resist the default pull to the flashiest option when a simpler route actually fits.

Write a one-page Route Decision Memo for a live AI proposal in your organisation, an artefact you keep.

Generate questions across six categories: procurement, governance, ethics, operational, exit and business case, tuned to your function.

Build a Devil's Advocate Playbook reference card you carry into any AI conversation.

Hold your question when challenged with "you wouldn't understand the technical detail".

Build a function-specific Harm Map and Override Map: where AI must not decide alone, and where a human must be able to step in.

Design a pilot with success measures, eligibility, exclusion, stop/go criteria and escalation routes.

Use "we should pilot this first, with these stop conditions" to protect the organisation without being the blocker.

Map workforce impact across morale, trust, capability, identity and role security.

Score an AI proposal for adoption readiness on five dimensions, with a proceed, pause or redesign verdict.

Produce an Adoption Readiness Assessment you can put on the steering group table, an artefact you keep.