Every programme is cohort-based, co-branded with the partner institution, and built on the same spine: a diagnostic, a registered decision, monthly labs on real data, and a defended capstone.
Each participant completes an AI & Data-Readiness diagnostic across six dimensions, and registers one real decision from their organisation. Both are revisited at graduation.
A facilitated lab on the live platform: ask precise questions of real data, read the cited answer, save the evidence, and produce a one-page artefact a board could read.
Every lab closes with a structured debrief — what you expected, what the evidence showed, what you would ask differently, and what you will do at work on Monday.
Growth and efficiency plans built on the participant's own market, with forecasts that own their uncertainty and recommendations traceable to cited evidence.
The registered decision, solved end to end and defended before a faculty and industry panel — pressed on evidence and limits, not on polish.
Continued platform access for a defined window, so the habit outlives the classroom and the work continues inside the organisation.
Monthly modules with facilitated cohort labs, self-paced platform work in between, standing office hours, and a capstone defence. For senior leaders who will carry a real decision through the programme.
An intensive for professional cohorts: foundations and prompting, applied labs across the working week, a design-sprint capstone and a final assessment. Followed by spaced practice so the capability survives.