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Ethical Enterprise AI Diagnostic: Map and Secure Your Use Cases

You use artificial intelligence tools — but do you really know how, by whom, and under what conditions? Our ethical enterprise AI diagnostic gives you a clear, practical, actionable view — confidently.

57% of business leaders have not yet defined an AI strategy (Bpifrance Le Lab, 2025)
5 steps for a structured diagnostic, from data collection to debrief
100% action-focused: practical next steps for your teams

Why run an ethical enterprise AI diagnostic?

Artificial intelligence has made its way into everyday tools, often without any formal decision: writing assistants, transcription tools, AI-enhanced CRMs, chatbots… As a result, many organizations lack a consolidated view of their AI practices.

This ethical enterprise AI diagnostic helps you answer practical questions: which tools do your teams actually use? What data feeds these systems? What ethical, bias, or GDPR compliance risks exist? And above all, how can you structure a responsible AI approach suited to your context?

What our ethical enterprise AI diagnostic includes

  • Mapping of your AI tools: inventory of solutions used and associated uses by department and by employee
  • Identification of sensitive practices: algorithmic bias, lack of transparency, automation of decisions with human impact
  • Flagging regulatory watchpoints: GDPR compliance, data governance, the EU AI Act
  • Clear, accessible synthesis: a debrief document everyone can understand, without unnecessary technical jargon
  • Reflection and evolution pathways: practical recommendations to discuss with your teams or specialist partners

Who is this AI diagnostic for?

This service is designed for any organization that wants more clarity on its artificial intelligence uses, without requiring prior technical expertise:

  • SMEs and mid-sized companies: first steps toward structured AI governance
  • IT leaders and innovation managers: support with prioritization and internal communication
  • Nonprofits and public-sector organizations: meeting transparency and fairness requirements
  • Executives and HR leaders: anticipating AI's HR and organizational impacts

The concrete benefits of an AI diagnostic

  • A clear view of your current AI practices, consolidated into a single document
  • Spotting blind spots: low-visibility tools and uses, often adopted informally
  • A shared discussion baseline to share with stakeholders, your executive team, or your DPO
  • A structuring first step to launch or strengthen your responsible AI approach
  • Proactive compliance: anticipate the requirements of the EU AI Act

How does the AI diagnostic work? The 5 steps

  1. Initial scoping call — understanding your context, sector, size, and priority challenges
  2. Information gathering — structured collection of tools used, internal processes, and declared practices
  3. Use analysis — identifying watchpoints (bias, personal data, automated decision-making)
  4. Writing the synthesis report — a clear document with observations, watchpoints, and practical next steps
  5. Debrief and discussion — optional session to present results and answer your questions

Frequently asked questions about the ethical enterprise AI diagnostic

An ethical enterprise AI diagnostic is an observation-and-advisory approach that maps the artificial intelligence tools used in your organization, identifies sensitive uses (algorithmic bias, transparency, personal-data collection), and flags regulatory watchpoints such as GDPR or the EU AI Act. It is an accessible first step before considering a full technical or legal audit.

An AI diagnostic is an advisory approach: it observes, identifies, and recommends. An AI audit is a formal process — often legal or technical — that engages the responsibility of a certified auditor and may carry legal value. Our diagnostic complements an audit: it prepares you and points you to the right partners if needed.

If your teams use tools like ChatGPT, Copilot, Notion AI, AI-enhanced CRMs, or automatic transcription tools without a defined internal policy, a diagnostic is useful. It helps you anticipate risks, reassure stakeholders, and lay the groundwork for controlled AI use.

No. This diagnostic is not a legal or technical audit. It is intended to help you see more clearly and begin a strategic reflection. If you need specialist legal advice (GDPR compliance, AI contracts, liability), we will direct you to competent partners.

Go further with your responsible AI approach

Our offers that complement the AI diagnostic

To go even further with your approach:

Ready to take stock of your AI use?

Start with a free, no-obligation first call. Together, we'll identify your priority challenges and determine whether this diagnostic is right for you.

Request my AI diagnostic

Important note: This diagnostic is not a legal or technical audit. It is intended to help you see more clearly and begin a strategic reflection on your AI uses. If needed, we will direct you to competent legal partners in digital law and data protection.

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