The Written Audit Report
All twelve dimensions scored, with current state, gaps, and a recommended action for each. Written in plain language for executive review. No technical jargon that requires a translator.
A twelve-point audit written for the executive making the investment decision, not the team implementing it. Fixed fee. Fully independent.
Every existing option was built for someone other than the person signing the cheque.
Free, fast, and produced by someone with a product to sell. The conclusion was written before the work started.
Eight to sixteen weeks, six figures, and a slide deck that feeds the follow-on engagement the firm was always going to propose.
Accurate, thorough, and written for the CTO. The executive who signs the cheque cannot act on a document built for someone else.
All twelve dimensions scored, with current state, gaps, and a recommended action for each. Written in plain language for executive review. No technical jargon that requires a translator.
Three actions ranked by impact and urgency. Each one specific, time-bound, and tied to a business outcome. A concrete list of what to do first, not a theoretical framework.
A 45-minute call to walk through the findings, answer questions, and agree the roadmap. Structured for a CEO or COO audience: what matters, what it means, what to do next.
These twelve checkpoints are where AI and data programs actually broke across twelve engagements. Not a framework from a book.
Owners, CEOs, and COOs making an AI investment decision, from growing companies to enterprises, including regulated sectors: financial services, healthcare, pharma, rail, manufacturing.
In regulated industries an AI mistake is a liability, not a bug. The audit exists to find it before the regulator or the customer does.
An AI pilot has been running for months with unclear results
The board wants a readiness assessment before approving further spend
A vendor recommended a platform and you want an independent second opinion
A new Head of Data needs the current state validated before setting a roadmap
Pre-investment or post-acquisition technology due diligence
Teams that want implementation help (this is a diagnostic, not a build)
Technical buyers seeking a deep-stack architecture review
Anyone who wants a vendor recommendation rather than an honest read
Structured stakeholder interviews (four to six hours of client time total)
Review of documentation: architecture, tools, AI initiatives, governance
Each of the twelve dimensions assessed against gathered evidence
Scoring and gap analysis across all twelve dimensions
Draft report by day eight, one-day client review for factual corrections
Final report, roadmap, and executive readout call by day ten
One price agreed before the work starts. No hourly billing, no scope creep, no surprise at the end. The scope is fixed too: twelve dimensions, three deliverables, two weeks.
Four to six hours of stakeholder time across week one (CEO or COO, the technology or data lead, one or two operational leads) and a standard set of documents requested on day one. That is all.
No. It is written for the executive making the investment decision. Findings are stated in business terms with the evidence behind them. Your technical team can verify every claim, but you will not need them to interpret it.
You get the report, the roadmap, and the readout. What you do next is your call. There is no implementation upsell built into this engagement. If build work is needed, I can quote it separately or refer you out.
Vendor assessments are free because they are sales tools. Firm audits feed follow-on consulting. This audit has no vendor relationships and no resale commissions behind it, so the advice has nothing to protect except its own accuracy.
A 30-minute discovery call to confirm fit. If the audit is not the right tool for your situation, I will say so on the call.