The problem it solves

Most organisations have invested heavily in AI tools. Very few have looked honestly at the human capabilities determining whether those tools produce real value. PRISM examines the gap — at the level where it matters most: the leadership team.

What PRISM examines

Three dimensions, each scored against a clear framework:

How your people work with AI — the practical behaviours, habits and disciplines that determine whether AI accelerates good work or just accelerates volume.

How your people think with AI — the cognitive patterns that govern whether AI is sharpening judgement or quietly eroding it.

How your team operates with AI in the room — the collective dynamics, conversational habits and decision-making norms that AI has already changed, whether you’ve noticed or not.

A fourth section examines the downstream consequences: what your leadership team’s current patterns are producing in the wider organisation, and the implications for talent, apprenticeship and organisational design.

What you get

A scored position across all three dimensions. Named capability gaps. A clear view of where the risks are largest. And a set of working instruments your team uses after the engagement ends — not a report that gets filed.

How it runs

PRISM is a four-week engagement combining structured interviews, observed working sessions, and a scored assessment. It concludes with a facilitated feedback session with the leadership team.

Three tiers are available depending on the scope and depth required:

PRISM is often the starting point for a Polymath Studio engagement — and is designed to make that conversation evidence-based rather than speculative.