Industry · 03

FinancialServices

Banking, insurance and wealth-management teams. Cohorts built around real-time fraud detection, credit risk modelling and document AI for compliance — with the governance frameworks that keep all of it auditable.

Where we run it

AU · NZ · SG

Engagement shape

Typical engagement — private cohort, real-time ML and MLOps, 12–18 seats

Also common

Typical engagement — executive briefing series, board AI capability, 2–4 sessions

— 001 How a private cohort runs

Scoped to your sector

Scoped

We start with your systems, your data and your regulator — not a syllabus. A scoping conversation before anything is designed.

Designed

Built from our existing programs, rebuilt around your stack and the work your team actually has in front of them.

Delivered

Live, by a named senior practitioner. On site, online, or both. Small enough that the instructor knows your team's work.

Measured

Against what your team can build afterwards, reported honestly — including where a cohort did not move the needle.

— 002 Next step

Two ways in

Every private cohort starts the same way — a conversation about the work your team has in front of them. No proposal until we understand it.

Scope a program →Request a capability statement →