From guesswork to ground truth.

A short, anonymous survey sent across the whole organisation — executive to administrator. It captures the honest reality of how AI is being used, what's being shared with it, what's been built, and how ready people feel.

Roughly 30 questions · 5–7 minutes · every level, every function.

What it uncovers

• What people use — tools, frequency, access, and what they're used for
• How they use it — what's being shared, and where data is leaking out
• What they've built — shadow GPTs, agents and automations no one's tracking
• The rules — whether policy exists, and whether anyone's read it
• The payoff — time saved, and whether anyone's measuring value
• Readiness — confidence, sentiment and where support is needed

You receive

• An executive Pulse report with benchmarked scores
• A shadow-AI & data-exposure risk snapshot
• Usage, sentiment and readiness heatmaps by level and function
• The three things to act on first

A facilitated working session with leadership. We move past the tools and onto the questions that decide everything: where the business is heading, what it's really worth getting right, who owns it, and how much appetite there is to change.

Half-day facilitated session · executives and senior leaders · informed by the Pulse data.

What we work through

• Strategic context — what the business wants to be known for, and where AI fits
• Leadership alignment — one shared view of direction, ownership and risk appetite
• Organisational readiness — where capability sits, and who this is hardest for
• Success & investment — what success looks like, and what we'd reinvest freed capacity into

You receive

• A leadership alignment summary — agreements and the gaps still open
• A named owner and operating intent for AI
• An agreed definition of success and investment appetite
• A go / no-go recommendation on the full Diagnostic

A two-to-three week immersion into how the business actually operates. We walk the workflows, follow the data, sit with the decisions and the controls — then map where AI creates value, where it creates exposure, and what has to be true before scaling.

2–3 week immersion · interviews, workflow walk-throughs and document review · culminating in a roadmap.

What we examine

• Strategy & decisions — alignment, accountability and where decisions bottleneck
• Process & execution — friction, rework, duplication and key-person risk
• Customer & value — where value is created, and where effort is wasted
• Quality, governance & risk — controls, oversight and what could go wrong
• Data & systems — where information lives, and what connects to what
• Measurement & culture — what's trusted, and whether change sticks

You receive

• A full operating diagnostic — the good, the bad, the gaps and the risks
• An AI opportunity map, prioritised by value and readiness
• A 30 / 60 / 90-day roadmap with quick wins and foundations
• An executive read-out to the leadership team