AI Policy, Standards & Regulation
The EU AI Act, standards, and national AI strategies.
The executive challenge
The problem this program solves
Data arrives in abundance, but ai policy decisions still travel by opinion. The meetings are longer, the decks are thicker — the judgement is no better. Careers stall on the same failure: brilliant ai policy pilots, no adoption, no measurable value. This is where ai policy stops being a technology conversation and becomes an executive discipline you can defend in any boardroom.
Context
Why this matters now
Capability
What you will be able to do
- Evaluate where ai policy creates economic value across the organisation — and where it reliably does not.
- Govern ai policy models and data with controls that satisfy both boards and regulators.
- Price the build, buy and partner options for ai policy capability with real economics.
- Distinguish ai policy automation opportunities from decisions where human judgement remains strategically important.
The IPAT Course Standard
The five-day journey
Each day is a deliberate progression in managerial capability — from strategic context, to analytical frameworks, to applied practice, to executive judgement under pressure, to a capstone that produces something your organisation keeps.
IPAT Signature Case™
The AI Policy Pilot at the Crossroads
A a multinational insurer has run a ai policy pilot for eighteen months. Back-testing flatters it, the frontline disputes it, and the audit committee has begun asking who approved the spend. The pilot’s sponsor resigns the week before the board meets; the vendor offers a discounted scale-up contingent on signature this quarter.
Your decision: Scale the ai policy pilot group-wide, rebuild it under new governance, or stop it and redirect the budget — knowing each option trades capability, credibility and careers differently.
IPAT Data Lab™
Three functions at a fast-scaling e-commerce platform report three different truths about the same ai policy question.
Dataset: Synthetic multi-source ai policy dataset — finance, operations and customer tables that disagree.
Your task: Reconcile the sources, build the single defensible view, and decide which dashboard the executive committee keeps.
A reconciled ai policy decision view and the data architecture behind it.
Data → Analysis → Decision, not Data → Code → Certificate
Day 5 · The Capstone
What will you change when you return to work?
Build a twelve-month analytical and AI roadmap for your organisation: the value case, the data foundations, the governance, and the first 90 days.
Methodology
Frameworks you will master
- • IPAT Data-to-Decision Framework™
- • IPAT Executive Capability Model™
- • Value-versus-feasibility portfolio analysis
- • CRISP-DM analytical lifecycle
- • Model risk management principles (SR 11-7 adapted)
Cohorts
Upcoming cohorts
New dates are being scheduled
Register with your preferred start date and our admissions team will match you to the next available cohort — or contact us to arrange an in-house delivery for your organisation.
Register your interestExplore further
Related programmes
Learners of AI Policy, Standards & Regulation frequently pair it with these offerings from the same divisions.
