AI and Data Readiness Audit

Know if your AI investment will pay off. In two weeks.

A twelve-point audit written for the executive making the investment decision, not the team implementing it. Fixed fee of €7,500. Fully independent.

€7,500
Fixed Fee
Day 12
Report In Your Hands
8
Hours Of Your Time
3
Deliverables

The AI spend is approved. The honest answer about readiness is missing.

Every existing option was built for someone other than the person signing the cheque.

Vendor assessments

Free, fast, and produced by someone with a product to sell. The conclusion was written before the work started.

Big firm audits

Eight to sixteen weeks, six figures, and a slide deck that feeds the follow-on engagement the firm was always going to propose.

Technical reports

Accurate, thorough, and written for the CTO. The executive who signs the cheque cannot act on a document built for someone else.

Three deliverables. Zero ambiguity.

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.

The Prioritized Roadmap

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.

The Executive Readout

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.

In Their Words
It was a pleasure working with Zohaib. He gave us clear, practical insights into our AI implementation and flagged real risks around cost and data lineage that we had not fully considered in our tool selection for our marketing analytics department. His input helped us make a more informed decision before committing to a platform.
GSquared
Mr. Pappas
Head of Marketing, Gsquared

Twelve points. Every one earned in production.

These twelve checkpoints are where AI and data programs actually broke across twelve engagements. Not a framework from a book.

01
Data Availability
02
Data Quality
03
Data Infrastructure
04
Integration Readiness
05
Security and Compliance
06
Use Case Clarity
07
Technical Capability
08
Vendor and Tool Landscape
09
Governance and Ownership
10
Leadership Alignment
11
Budget and ROI Expectations
12
Change Management Readiness

Sample scoring shown. Yours comes from evidence in your systems, not a questionnaire.

Built for the executive who runs the business.

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.

This audit fits when

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

It is not for

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

Two weeks. Start to readout.

Week One

Discovery and assessment

Structured stakeholder interviews, which take most of the eight hours of client time

Review of documentation: architecture, tools, AI initiatives, governance

Each of the twelve dimensions assessed against gathered evidence

Week Two

Analysis and delivery

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

Asked before.

Why a fixed fee?

€7,500, 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. The fee is credited against a build engagement if you go on to one.

What do you need from us?

Around eight hours of stakeholder time, spread across the two weeks rather than taken in one block: a kickoff with the CEO or COO, two working sessions with the technology or data lead, shorter conversations with one or two operational leads, and the 45 minute readout at the end. Plus a standard document set requested on day one. If the evidence is not there when I go looking, I will come back and ask for more time rather than score the dimension on a guess.

Is the report technical?

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.

What happens after the audit?

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.

Why does independence matter?

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.

€7,500 fixed, two weeks, fully independent

The next AI decision deserves an honest answer.

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.