30 to 50 % of AI initiatives fail to return what they should (Gartner: at least 30 % of proofs of concept abandoned; McKinsey: more than 80 % with no impact on the operating result). Idun Group, a consultancy specialised in AI and built on tooling, starts from value: analysis of your real AI usage from the logs you already have, a 6-month to 2-year roadmap prioritised by return on investment, then development of the use cases proven profitable and nothing else. In Paris and anywhere in France.
The primary cause is not the technology, it is the absence of measurement. Across the estates we analyse, 20 to 40 % of the AI licences paid for go unused. The Idun method neutralises the risk: the usage analysis proves the return on investment before any commitment, the roadmap is arbitrated with your business owners, and only the use cases proven profitable get built.
Read-only, and no access to your data before signature. By default the analysis runs in our environment inside the European Union, from the exports provided; if your data protection officer or your security policy requires it, the chain runs inside your own perimeter and the data never leaves your premises. Pseudonymisation and aggregation by design: we analyse usage, never people, never a scan of workstations, zero re-instrumentation. The code we write downstream belongs to you.
No pricing is published: every quote follows the analysis and is given in a meeting. What we sell is a fixed-scope engagement of a few weeks, analysis included, whose scope is framed by the discovery phase. Target set and measured at your site: 30 to 50 % lower cost on the targeted usage and 2 to 4 times fewer errors. The levers: model routing, caching, context compression, cutting waste.
LVMH: design and operation of a generative AI agent platform in production. Randstad: migration of 100 applications in 6 months, against 12 months initially estimated. More than 40 AI diagnostics run in under a year, more than 10 large-account clients.
