Explainable AI & Model Interpretability for Executives
Defend model-driven decisions to boards, customers and supervisors.
The executive challenge
The problem this program solves
Your organisation has run explainable 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 explainable ai pilots, no adoption, no measurable value. You leave with the frameworks to commission work on explainable 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
- Construct a explainable ai roadmap sequenced by value, feasibility and risk.
- Defend a explainable ai investment case before a board that has been disappointed before.
- Commission explainable ai work and interrogate its outputs with an operator’s confidence.
- Distinguish explainable ai 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 Explainable AI Model Nobody Can Explain
A a multinational insurer deployed a explainable ai 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™
A a fast-scaling e-commerce platform suspects its explainable ai spending is aimed at the wrong customers — and the intuition cannot yet be defended in the boardroom.
Dataset: Synthetic explainable ai panel for a fast-scaling e-commerce platform: 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 explainable 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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