Software teams are shipping AI features faster than they can reason about how those features fail. We take engineering and product teams through building with AI deliberately — where it earns its place in the product, and where it quietly introduces risk for users and the business.
Taught by an engineer who has shipped AI products to 1,500+ users across 130+ countries — building depth, not slideware, brought to the team doing the building.
Ideal for: CTO · Head of Engineering · Head of Product · L&D
Not the failures that make headlines — the quiet ones that pass review, because they arrive looking exactly like a correct answer.
Prompt and model changes ship without a test set, so quality moves in directions nobody measures.
Anything a model reads can attempt to instruct it. Untrusted input becomes an instruction channel.
A handful of favourable examples stands in for a representative test set drawn from real cases.
For Compliance, legal, risk and security-governance teams asked to review AI agents and automation before they go live.
Review an AI agent before it is approved — how it gets attacked, how it fails silently, and which controls actually hold.
For Engineering, product, platform and data/analytics teams.
Build with AI deliberately and reason clearly about how it fails — where it earns its place in the product, and where it adds risk in production.
For Any team that wants to use AI well and safely day to day.
Work confidently with AI on real tasks — writing, research, analysis — and avoid the common, costly mistakes.
For Project and programme managers and delivery teams.
Speed up planning, tracking and reporting with AI — and judge when it helps a project and when it adds risk.
For All staff — a whole-company awareness session.
Spot AI-powered scams, deepfakes and data leaks — and use AI tools without putting the company at risk.
A short conversation about your team, your risk, and the session that would move them. No pitch deck — just the right scope and dates.
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