Embedded Finance for Retail & Marketplaces
Payments, credit, and insurance inside the customer journey.
The executive challenge
The problem this program solves
Your teams adopt embedded finance tools faster than the institution can govern them, and leadership cannot answer the board's simplest question: which decisions are now made by machines? The board does not need more dashboards; it needs an executive who can say where embedded finance pays, where it does not, and how the institution will know. The programme teaches the craft behind embedded finance: asking the right question, demanding honest evidence, and landing the change.
Context
Why this matters now
Capability
What you will be able to do
- Evaluate where embedded finance creates economic value across the organisation — and where it reliably does not.
- Govern embedded finance models and data with controls that satisfy both boards and regulators.
- Price the build, buy and partner options for embedded finance capability with real economics.
- Distinguish embedded finance 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™
Six Weeks to Prove Embedded Finance
A newly appointed chief data officer at a national revenue authority inherits a embedded finance 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 embedded finance initiative worth proving in six weeks, name what gets stopped to fund it, and decide who owns the result.
IPAT Data Lab™
Three functions at a regional telecommunications group report three different truths about the same embedded finance question.
Dataset: Synthetic multi-source embedded finance 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 embedded finance 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
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