AI Leverage Audit

A two-week diagnostic for leadership teams with plenty of AI activity, but not enough change in the workflows, systems, and operating rhythms underneath it.

We look at where AI can create real leverage across the business, what is blocking that today, and what needs to change first across workflows, internal tools, ownership, data, and operating rhythm.

Built by an ex-COO now leading Product & AI Implementation inside a 1,000-person commerce group.

Who it's for

COOs, VPs of Ops, Heads of Ops, Chiefs of Staff, transformation leaders, and internal product leaders in companies where AI tools are already in circulation, but the way work gets done has not meaningfully changed.

AI tools are already being used across the business, mostly in isolation

Adoption is fragmented and uneven across teams

Leadership expects leverage, but the gains still feel patchy

Nobody has a clean view of which workflows, systems, and operating rhythms should actually change

What the audit does

01

Diagnose the current state

Make sense of what is already happening with AI across the organisation, where the gains are real, and where smart people are using tools in isolation without company-level leverage.

02

Find the leverage

Identify the workflows, internal systems, teams, and decisions where AI can create meaningful gains in speed, quality, capacity, or managerial leverage.

03

Set the next 90 days

Turn the diagnosis into a practical 90-day plan with priorities, ownership, and the workflow, tooling, data, and operating changes that should happen first.

What you get

Current-state diagnosis

Top 3-5 high-leverage AI opportunities

Workflow, tooling, data, and operating model blockers

Team, ownership, internal-system, and policy recommendations

30/60/90-day action plan

Executive readout with clear next steps

By the end of the audit, you should know three things.

First, where AI is actually worth operationalising, and where experimentation is creating noise instead of leverage.

Second, what needs to change in workflows, internal systems, decision-making, and operating rhythm for the gains to become durable.

Third, what the next 90 days should look like if you want to move from scattered individual AI use to operational advantage.

Important boundary

This is not another AI strategy deck, and it is not a disguised custom automation shop.

The point of the audit is to create clarity fast. It helps leadership see where the leverage really is, what is blocking it, and what should change first across workflows, tools, data, ownership, and operating rhythm. It is designed to lead to sharper decisions, better prioritisation, and a cleaner path into execution, not months of vague recommendations or outsourced implementation sludge.

If AI is everywhere but the work has not really changed, start here.

If the problem is execution, not awareness, the cleanest next step is a 20-minute call. We’ll quickly work out whether the issue is workflow redesign, internal systems, operating rhythm, or something simpler.

Not sure if you need an audit, a sprint, or just a sanity check? The call is the right first step.

Book a 20-minute call →