Audit & consultingKnow what to do, and in what order.
A review with your teams, then a roadmap to follow, with or without us.
Consulting: decide, deliver, stay on course
The audit tells you what to do and in what order. Consulting helps you do it.
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DecideBefore the projects
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Data & AI strategy
In practice
What you getA clear ambition, approved by leadership, that guides the roadmap and the trade-offs.
Starting from your business goals to decide what data and AI should bring you, where, and with what resources.
- Workshops with leadership: goals, constraints, priority areas
- Shared principles: hosting, choice of AI models, data to protect
- The resources to plan for: budget, skills, who does what
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Choosing solutions and providers
In practice
What you getSpecifications, a reasoned comparison and a choice you can defend to your board.
Off-the-shelf software, custom development, AI model, hosting provider: we compare the options against your constraints before you commit.
- Needs described from how you really work
- Offers compared on the same criteria: full cost, security, hosting, reversibility
- Hosting in France or Europe favoured
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DeliverDuring the projects
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Data & AI project management
In practice
What you getA project that stays within scope, a clear progress update at every stage and decisions made in time.
We run the project alongside you: scoping, planning, coordinating your teams and providers, acceptance testing, go-live.
- A prototype first, to check the gain before investing further
- Progress meetings with your teams and your providers
- Including getting a stalled project moving again
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AI literacy and change management
In practice
What you getTools people actually use, and teams who know why and how to use them.
From leadership to teams: sharing the basics of AI, explaining what changes for each person and supporting the first weeks of use.
- A workshop so leadership speaks the same language and can make the calls
- Champions in each department who bring questions and ideas back
- Training at the right time, on your own files
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Stay on courseOver time
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Steering the roadmap
In practice
What you getA roadmap that stays current, and progress measured from one MaturIA audit to the next.
We support your leadership team or your AI lead in keeping the roadmap alive: project and benefit tracking, trade-offs when priorities change, a new audit to measure progress.
- Steering meetings, at a pace agreed with you
- A project dashboard: progress, budget, benefits observed
- New ideas assessed on the same criteria before they join the roadmap
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Data and AI governance
In practice
What you getNamed owners, shared definitions for your indicators and access rules everyone knows.
Who decides, who answers for each key piece of data and each AI tool, who can access them: an organisation sized for your company.
- A Data & AI lead and a decision forum, at your scale
- Shared definitions for your key indicators
- Access rights aligned with those of your tools
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Responsible use of AI: AI Act and GDPR
In practice
What you getAn inventory of your AI uses, the obligations that apply to each, a usage charter and an action plan.
Listing how you use AI, assessing those uses against the European AI regulation (AI Act) and the GDPR, and setting clear rules of use. The legal side remains for your advisers to confirm.
- Which tools, for which uses, with which data
- What must never go into a consumer AI tool
- AI literacy for the people who use it, with our training
Examples of what we deliver
More focused questions, often handled as one-off advice or as a first audit.
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Strategy
Costing an AI project and its ROI
Development, hosting, subscriptions, your teams' time, set against the expected gains.
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Assessment
Spotting processes to automate
The repetitive tasks that take up the most time, estimated in hours.
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Assessment
Mapping your data and your applications
Your applications, your data and the flows between your tools: who produces what, and who uses it.
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Organisation
A skills development plan for your teams
Who needs what, and in what order: a plan per role, drawn from the audit.
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Technical choices
Scoping a change of tools or systems
ERP, CRM or other software: your uses, data and needs described before you choose.
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Assessment
Reviewing your tools and subscriptions
Software, AI subscriptions and their cost, connections between tools and overlaps.
Our approach
Each stage is scoped upfront, and you decide what comes next at the end of each one.
Where to start?
With a first call
30 minutes with us, by video if possible or by phone. You tell us about your situation, we tell you frankly where we would start.
Frequently asked questions
The questions we get asked most often.
How does an audit work?
It starts with a one-hour scoping meeting with leadership: goals, departments involved, people to meet. The audit then takes a few days, depending on the size of the company.
See the audit journeyDo we need projects in mind already?
No. The audit is precisely there to find the use cases with the most value for you. If you already have ideas, we assess them alongside the others, on the same criteria.
What is the audit based on?
On MaturIA, the digital twin of your Data & AI transformation, built by DataFish. It keeps the history, so you measure progress from one audit to the next instead of starting from scratch.
Discover MaturIAWhere is the audit data kept?
In MaturIA: as SaaS, or hosted in your cloud if you want to keep control of your data and of the AI models used.
See the two ways to deploy MaturIAWhat happens after the audit?
You decide what comes next: your teams run the projects, with some training if needed, or hand them to us. The roadmap shows where to start, and we can support you: choice of solutions, project management, steering meetings.
See consultingCan we audit a single department?
Yes. You can start with one department or one process, then extend the audit to the others. The same questions are used everywhere, so you can then compare departments with each other.