AI audit:
find the high-impact use cases for your company
companies supported
tailored
An AI audit shows exactly where and how AI can improve your processes. The result: higher productivity for you and your people. In a few weeks, turn the AI opportunity into a concrete action plan and align your teams around a shared vision.
Find your AI use cases · free scoping call
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What is an AI audit?
An AI audit is a consulting assignment that analyses your company's business processes to spot the time-consuming, repetitive or low-value tasks that artificial intelligence can automate or augment. It is based on interviews with your teams and ends with a prioritised roadmap.
Mister AI identifies 15 to 30 use cases on average per team audited: processing supplier invoices, producing marketing content, automating financial reporting, summarising legal documents… Each use case falls into one of 3 categories:
Measurable results
At the end of the audit, we deliver tailored, practical recommendations, with detailed strategies, custom solutions and concrete action plans to bring AI into your work effectively.
Why run an AI audit before rolling out AI?
Generative AI is a major opportunity for transformation, but an unplanned rollout can backfire. Before training your teams or investing in costly development, an AI audit lets you:
Our 5-step AI audit method
During our AI audits, we analyse your business processes in depth, working closely with your teams to spot time-consuming tasks and opportunities for AI to help, so your organisation gets the most out of the rollout.
We commit not to overhaul your entire IT, and to offer you simple, relevant and practical solutions.
Project kick-off
A scoping session to get your teams on board: choice of teams, scope and goals.
Gathering business needs
Our senior consultants run individual interviews to understand your people's day-to-day work and identify repetitive, time-consuming tasks. This phase identifies 15 to 30 use cases per team audited, all based on real needs on the ground.
Classifying use cases
We assess the complexity and prerequisites of each use case by testing the main ones on different AI tools. Each case falls into 3 categories: Augmentation (tools available on the market), Automation (no-code/low-code solutions) or Custom development (a specific solution). This points to the most suitable and accessible solutions.
Prioritising use cases
Each use case is scored on an objective 3-criteria grid (impact, complexity, risk) and placed on a prioritisation matrix. This reveals the quick wins to roll out straight away, the structuring projects for the medium term and the long-term initiatives, with a bank of ready-to-use prompts for every quick win.
Recommendations and AI roadmap
A full presentation of the results with a detailed operational roadmap. For each use case, it sets out the recommended tool, the implementation steps, the training needed, the rollout schedule and the success indicators to track, along with tailored training programmes for each team.
Examples of AI use cases by team
Our audits cover every function in the company. Here are examples of use cases an audit brings out, function by function:
They started with an AI audit
120 use cases identified across 10 departments
Use cases identified and qualified, for more than 30 hours of potential weekly time savings.
11 departments audited
An AI roadmap built into its 2025-2028 digital strategy.
9 teams audited
Then 160 employees trained to roll out the use cases identified.
How much does an AI audit cost and how long does it take?
A Mister AI audit starts at €3,000 excl. VAT per team audited. The assignment takes 4 to 6 weeks, depending on the number of teams to audit and the size of your organisation.
The exact scope and the quote are set during this scoping call.
Our AI
consulting services
The audit sets the priorities; our consultants then help you put them into practice.
Change management
We support your teams over time to ensure adoption and skills growth. AI committees, usage tracking, continuous improvement: we turn your technology investment into lasting operational success.
Custom AI development
We design and deploy AI agents built for your specific needs: automating repetitive tasks, smart workflows and tailored solutions. Our developments fit into your existing systems to maximise your ROI.
AI licence management
We buy and manage your ChatGPT, Claude, Copilot or Mistral licences: setup and security (SSO, MFA, GDPR DPA), dedicated user support and usage tracking. You get a single invoice, in euros.
Frequently
asked questions
Who is the AI audit for?
The AI audit is for companies and public organisations that want to roll out generative AI in a structured way: SMEs, mid-sized companies, large groups, local authorities and public bodies. It needs no technical prerequisites: it starts from your teams' day-to-day work, team by team.
How long does an AI audit take?
A full audit takes 4 to 6 weeks, depending on the number of teams to audit and the size of your organisation. We can adapt the scope and length to your constraints.
How much does an AI audit cost?
An AI audit starts at €3,000 excl. VAT per team audited, i.e. 3 consultant days per team. The exact scope and the quote are set during a free scoping call with one of our consultants.
Is there a free AI audit?
The audit itself is a paid service, but the first step is free: a scoping call with a senior consultant, who looks at your situation and tells you where an audit would bring the most value.
Which teams should be audited first?
We recommend starting with support functions (HR, finance, legal, communications) and sales teams, which usually have the most high-impact, low-complexity use cases. The initial audit can then be extended to other departments.
How many use cases are identified?
On average, we identify 15 to 30 use cases per team audited, i.e. 150 to 300 use cases for a company with 10 teams. Around 40 to 50% of these are quick wins you can roll out straight away with general-purpose tools.
Does the AI audit take GDPR and the AI Act into account?
Yes. Risk is one of the three criteria used to score each use case, alongside impact and complexity. Uses involving personal or sensitive data are flagged, and the roadmap takes them into account in the recommended tool and the rollout order, in line with GDPR and the AI Act, the European regulation on artificial intelligence, which has been coming into force gradually since 2024.
Can an AI audit be funded?
The audit is a consulting service, separate from training. The training recommended after the audit can be funded: in France by your OPCO, as Mister IA Entreprise is Qualiopi-certified, and elsewhere through your training budget or funding scheme, for which we provide the documents required.
Does the AI audit replace training?
The audit identifies the use cases and sets the strategy; training gives your teams the skills to roll out those use cases with the tools. We recommend combining the two for maximum impact.
Do you offer support after the audit?
Yes, we offer several follow-on services: tailored training for each team, tool integration, custom AI agents and long-term change management. We build a support path with you that fits your roadmap.
What is the difference between an AI firm and a traditional consulting firm?
Traditional firms often favour long, costly custom development, while the vast majority of generative AI pilot projects produce no measurable gain (MIT, 2025). We always start with market tools and quick wins to deliver ROI fast, before considering more complex solutions. We also train your teams to make sure the tools are adopted.
