Generative AI for Government & Public Services
Modernise public service delivery while safeguarding citizen trust and data.
The executive challenge
The problem this program solves
The generative ai initiative reports activity — dashboards shipped, models trained, workshops held — while the P&L cannot name a single decision it changed. Careers stall on the same failure: brilliant generative ai pilots, no adoption, no measurable value. In five days you build the diagnostic, the decision architecture and the roadmap that turn generative ai from a cost centre into a decision advantage.
Context
Why this matters now
Capability
What you will be able to do
- Construct a generative ai roadmap sequenced by value, feasibility and risk.
- Read generative ai evidence — dashboards, model outputs, vendor claims — and know exactly what to trust.
- Evaluate where generative ai creates economic value across the organisation — and where it reliably does not.
- Govern generative ai models and data with controls that satisfy both boards and regulators.
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 Generative AI Pilot at the Crossroads
A a pan-African retail bank has run a generative ai 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 generative ai 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™
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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