Already running AI. Is it actually working?
Most organisations investing in AI do not have a clear view of what each initiative is actually delivering, what it is costing, and whether the trajectory is improving or declining. We give you that view, independently, across every initiative in scope.
12 lenses. Every initiative.
Every AI initiative in scope is assessed across 12 lenses, from the strategic case all the way down to model health and codebase quality. Nothing is assumed. Nothing is taken on faith.
Vision & purpose
Why does this initiative exist? Is that still the right problem?
Intended outcomes vs reality
What was it supposed to achieve? What is it actually delivering?
Value to date & burn rate
What has been spent? What value has been realised? Is the trajectory improving?
Future value potential
If continued, what is the realistic ceiling? Is it worth the investment?
Tech stack & architecture
Sound infrastructure? Vendor lock-in risks? Scalability constraints?
AI codebase & model health
Are models drifting? Is there test coverage and monitoring?
Data quality & pipeline integrity
Is the initiative receiving clean, trustworthy data?
Adoption & frontline trust
Are the people who should use this actually using it?
Team capability & ownership
Who owns this? Can they evolve it? Single point of failure?
Dependencies & integration health
What does this depend on? How fragile are those dependencies?
Governance & compliance posture
Audit trail, explainability, oversight in place where required?
Strategic fit
Does this still align with where the business is going?
Every audit is scoped from scratch.
No two audits are the same. The scope depends on how many initiatives need to be reviewed, how deep the technical assessment needs to go, and what decision the audit is designed to inform. A board rationalising a 20-initiative portfolio needs something different from a product team trying to understand why one system is underperforming. The first conversation is about scoping, not selling.
Scope
Number of initiatives
Technical depth
Urgency
We scope every audit after a 30-minute discovery call. No assumptions, no generic packages.
A decision. Not a report.
An initiative-by-initiative scorecard
Every initiative assessed across all 12 lenses. Clear verdict: accelerate, fix, pause, or stop.
A ranked portfolio view
All initiatives stacked by current value, future potential, and cost to continue.
A concrete recommendation set
Specific actions: what to do, in what order, why, and what it unlocks.
An ROI recovery plan
For underperforming initiatives worth saving: a scoped remediation path with a realistic value trajectory.
Start with a 30-minute scoping call.
Tell us how many initiatives are in scope, what the audit needs to inform, and how much technical depth is required. We scope it from there. No obligation to proceed.
What we need to know
- How many AI initiatives need to be audited
- Whether this is company-wide, a business unit, a product, or a single initiative
- What decision the audit is designed to inform, board, budget, team, or operational
- How deep the technical layer needs to go
- Any hard deadlines driving the timeline