AI audit your real level of maturity

A CTO or a Chief AI Officer from our collective reviews your tools, your teams and your processes. You leave with an honest picture and concrete recommendations.

+700

CTOs and AI leaders in the collective

2 to 5 days

On site

98%

Client satisfaction

Where our CTOs have worked

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The signals that should alert you

Your teams use AI, but each one in their own corner

You pay for AI tools without knowing whether they really help

Your POCs never make it to production

Your competitors are moving on AI, and you don't know where to start

Why an audit rather than an online assessment?

An online questionnaire measures what you declare. An AI audit observes what actually happens: the tools really being used, the way teams work, the risks around your data.

That is almost always where the first finding lands: a gap between the AI maturity a company thinks it has and the one it really has.

An audit matched to your ground

AI in the product

You want to inject AI into your product to create a new edge: an AI feature, an embedded copilot, using your data, a new use case that changes your value proposition.

AI in the tech and product teams

You want to embed AI in your tech and product team processes: agent fleets, orchestration, code copilots, delivery automation, spec writing...

AI across the whole company

You want to spread AI across every department to automate tasks: support, marketing, finance, HR, operations.

What the AI audit reviews

  • Tools : the tools in place, how they are really used and what they cost
  • Organization : who owns AI, and how the teams take hold of it
  • Management : how managers support adoption, or hold it back
  • Processes : where AI sits in your processes, development included, and whether good practices are followed
  • Governance : security, data and rules of use

Our method

1

We scope your need

  • ·A conversation with a member of the team about your challenges and priorities
  • ·Defining the scope of the audit
  • ·Identifying the teams and people to meet
2

We pick the right auditor

  • ·A CTO or a Chief AI Officer from the collective
  • ·A profile who knows your industry
  • ·Matched to the type of audit and the AI ground in question
3

We run the audit

2 to 5 days depending on your size

  • ·Review of what exists: tools, usage, processes
  • ·Interviews with the people concerned
  • ·Checking the key criteria: AI in the development process, good practices, security, level of AI maturity
4

We walk you through the findings

  • ·The problems identified
  • ·The strengths
  • ·The areas to improve
  • ·Concrete recommendations

What we see most often

A gap between perceived and real maturity

Most companies think they are further along on AI than they really are. The audit is first there to set an honest picture, something you can build on.

Teams split in two

On one side, the early adopters, keen to put things in place. On the other, the reluctant. The whole point is to bring them together: create moments to exchange, show the good practices and the use cases, and let the reluctant see the time they stand to gain.

What you will not get elsewhere

01

An auditor who knows your industry, chosen for your audit

02

An outside view, with no tool to sell you

03

People as much as tools: we look at how your teams take up AI

04

We don't disappear after the debrief, we can help you put it in place

Request a quote

Wondering how much it costs?

The price of an AI audit depends on the size of your company and the scope agreed. Tell us about your project: we come back to you with a clear proposal.

Get a proposal →

What makes all the difference

The CO-CTO setup

Community support

Your auditor is never alone, backed by the 700+ members of the collective

CO-CTO directory

Expert sourcing if needed to complement the engagement

Continuous follow-up

By a member of the team throughout the engagement

Questions fréquentes

FAQ

An AI audit is a picture of how artificial intelligence is used across your company: the tools in place, the organization, management, processes and governance. It measures your real level of AI maturity and leads to concrete recommendations. At CO-CTO, it is led by a CTO or a Chief AI Officer from the collective who knows your industry.

The auditor spends 2 to 5 days on site depending on the size of your company. With scoping and the debrief, the full engagement runs over 2 to 4 weeks.

The price depends on the size of the company and the scope of the audit. We send you a proposal after a first conversation about your context.

An online questionnaire measures what you declare. An AI audit observes what actually happens: the tools really being used, the way teams work, the risks around your data. That is often where the gap between perceived and real maturity appears.

In part. The audit looks at the governance of your AI usage: security, data and rules of use. It shows you where your current practices expose you. It is not a legal audit: it does not replace specialist counsel on the AI Act or GDPR.

The problems identified, the strengths, the areas to improve and concrete recommendations, so that you know where to start.

You can put the recommendations in place with your teams, or get support from a fractional Chief AI Officer from the collective. If the need becomes lasting, we also help you recruit your Chief AI Officer.

Want to know more?

Book a call with our team, we'll take care of the rest.