Generative AI for HR & Talent
Recruit, develop, and support people with AI copilots.
The executive challenge
The problem this program solves
Your organisation has run generative ai pilots for two years. None has reached production, the pilot budget is now a permanent line item, and the board has started asking what it actually bought. Careers stall on the same failure: brilliant generative ai pilots, no adoption, no measurable value. You leave with the frameworks to commission work on generative ai, interrogate its outputs and govern it with the discipline applied to any other capital allocation.
Context
Why this matters now
Capability
What you will be able to do
- Evaluate where generative ai creates economic value across the organisation — and where it reliably does not.
- Read generative ai evidence — dashboards, model outputs, vendor claims — and know exactly what to trust.
- Construct a generative ai roadmap sequenced by value, feasibility and risk.
- Defend a generative ai investment case before a board that has been disappointed before.
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™
Six Weeks to Prove Generative AI
A newly appointed chief data officer at a pan-African retail bank inherits a generative ai mandate, one budget cycle to show value, and three functions that each claim ownership of the same dataset. The CEO wants a decision improved this quarter — not a strategy deck.
Your decision: Choose the single generative ai initiative worth proving in six weeks, name what gets stopped to fund it, and decide who owns the result.
IPAT Data Lab™
A a pan-African retail bank suspects its generative ai spending is aimed at the wrong customers — and the intuition cannot yet be defended in the boardroom.
Dataset: Synthetic generative ai panel for a pan-African retail bank: the tables, formats and quality gaps your team would find on day one.
Your task: Structure the data, segment and score it, and translate the model into one operating decision about where the money should go.
A generative ai decision memo backed by an analysis you built and can defend.
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.
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