Retrieval-Augmented Generation & Enterprise Knowledge Systems
Make institutional knowledge answer questions instead of gathering dust.
The executive challenge
The problem this program solves
Data arrives in abundance, but retrieval-augmented generation 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 retrieval-augmented generation pilots, no adoption, no measurable value. This is where retrieval-augmented generation 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 retrieval-augmented generation creates economic value across the organisation — and where it reliably does not.
- Read retrieval-augmented generation evidence — dashboards, model outputs, vendor claims — and know exactly what to trust.
- Construct a retrieval-augmented generation roadmap sequenced by value, feasibility and risk.
- Defend a retrieval-augmented generation 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™
The Retrieval-Augmented Generation Model Nobody Can Explain
A a pan-African retail bank deployed a retrieval-augmented generation model into daily operations. It performs — until a customer dispute, a journalist and the regulator arrive in the same week, and no one can reconstruct why the model decided what it decided.
Your decision: Pause the model pending an explainability rebuild, defend it as deployed, or restrict it to advisory use — each response signals something different to the regulator, the market and your own staff.
IPAT Data Lab™
Three functions at a multinational insurer report three different truths about the same retrieval-augmented generation question.
Dataset: Synthetic multi-source retrieval-augmented generation 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 retrieval-augmented generation 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 Retrieval-Augmented Generation & Enterprise Knowledge Systems frequently pair it with these offerings from the same divisions.
