AI is already everywhere in your company: Claude, ChatGPT, Gemini, Copilot, in-house agents. Yet 30 to 50 % of AI initiatives fail to return what they should. An AI agency in Paris should first make you get the most out of the AI already in place: analyse your real usage from the logs you already produce, then deliver strategic advice and a roadmap prioritised by return on investment that says what to industrialise, what to consolidate and what to cut. That is the approach Idun Group designs from Paris. A 30-minute discovery call opens the engagement.
In France, 11 % of organisations run AI agents in production according to the Ifop-Converteo 2026 study, against 14 % preparing them and 42 % still at the roadmap stage. Most AI projects remain pilots or generative chatbots never deployed at scale. For a Paris-based company comparing providers, that operational shift moves the question. It is no longer about who offers artificial intelligence, but who measures real usage and turns it into decisions: industrialise, consolidate or cut.
What remains is why Paris weighs on that choice.
Paris stands as Europe's leading AI ecosystem and the 5th worldwide, carried by a deep talent pool and a strong institutional presence.
Source: Choose Paris Region, Startup Genome, Global Startup Ecosystem Report 2026
An AI agency in Paris rooted in that ecosystem reaches the talent and the events that keep the discipline alive.
Idun Group is headquartered in the 12th arrondissement of Paris and works on-site across Île-de-France, a local presence that a fully remote setup cannot match. For companies elsewhere in France or in French-speaking Europe, the engagement continues remotely with no loss of scoping quality.
Book a discovery callThe way into the engagement: we start from the logs and exports you already produce, on the platforms you administer (Azure OpenAI and in-house models, Dust, Copilot, custom agents), installing nothing and re-instrumenting nothing. Handing over exports or a read-only connection: the exact arrangement is settled in the scoping meeting. The debrief delivers the map of your real usage, tool by tool, the use cases detected with their estimated return on investment, the waste identified and the full cost of AI, licences and consumption included. The analysis runs on our usage-analysis tooling, Idun Cockpit. We sell neither the agents, nor the agent platform, nor the training we recommend: the analysis serves your decision, not a catalogue. Continuous insights (recurring re-analysis, the same deliverables kept up to date) extend the engagement.
Building on the analysis, Idun Group prioritises your use cases by return on investment, effort and adoption, settles your licences at renewal time and flags the use cases found across several tools, which deserve a single implementation. The engagement carries the decision all the way to the steering committee, with a report ready to share.
We tell you which use case to industrialise, which training to run and for whom: we do not do it for you. Execution stays with your teams, your integrators or a partner, and we can help you choose one. After the debrief, Idun Cockpit can stay with you to measure the effect of your decisions. These services sit inside a broader national offer: see our AI agency approach for companies anywhere in France.
Others measure usage, fix an interface friction or push you to build agents. We arbitrate the AI portfolio (industrialise, consolidate, cut) with a quantified return on investment and a roadmap you can present to a steering committee. The table below compares the two approaches on the criterion that matters once the report is in: actionable recommendations.
That choice decides whether you can turn measurement into decisions: what to industrialise, consolidate or cut, and in what order. Each row reads as a scope: what a provider covers depends on its tooling and its hosting, to be checked case by case.
The theory in the table above holds up in the field. Here are the company figures we publish.
More than 40 AI diagnostics run in a year. An AI-specialised consultancy, since late 2023.
This figure describes the company, not a client result: every gain is measured at your site, never promised in advance. The references below stick to what we are allowed to cite.
An Idun engagement on the generative AI platform of all the perfume and cosmetics brands.
AI Flash Audit won through a public tender, run in its social-housing subsidiary. Engagement in progress.
Rollout and usage governance across the group's Microsoft ecosystem.
On-site in Paris or by video call, we walk through the method and qualify your context. No access to your data before signature: pre-sales happens in conversation.
Scoping interviews with the IT department and the business units. This step is mandatory: our usage-analysis tooling does not replace the interviews, it makes them factual.
We start from the logs and exports you already produce, on the platforms you administer, installing nothing and re-instrumenting nothing. Handing over exports or a read-only connection: the exact arrangement is settled in the scoping meeting.
Recommendations (industrialise, consolidate or cut), estimated return on investment per use case and a roadmap, in a report ready for the steering committee. You then decide what gets industrialised, consolidated or cut.
More than 40 AI diagnostics run in a year. Target set and measured at your site: 30 to 50 % lower cost on the targeted usage and 2 to 4 times fewer errors.