AI is already everywhere in large organisations. Yet 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 is a consultancy specialised in AI, built on tooling: we measure the real usage of the AI already in place, turn it into a roadmap prioritised by return on investment, and implement afterwards. More than 40 AI diagnostics run in under a year, more than 10 large-account clients.
Abandoned projects, under-used licences, agents stuffed with data that burn tokens and hallucinate. Across the estates we analyse, 20 to 40 % of the AI licences paid for go unused. The common cause: nobody measures real usage across every tool.
A fixed-scope engagement of a few weeks, analysis included, whose scope is framed by the discovery phase. 1. Analysis of real AI usage: we read the logs and exports of the platforms you administer (Azure OpenAI and in-house models, Dust, Copilot, custom agents), installing nothing and re-instrumenting nothing. Deliverables: a map of usage across every tool, the use cases detected with their estimated return on investment, the waste identified, the consolidated full cost of AI, arbitration recommendations per use case, a 6-month to 2-year roadmap, and a report ready for the steering committee. 2. Strategic advice and roadmap: prioritisation by return on investment, effort and adoption, licence arbitration at renewal, standardisation across every tool. 3. Downstream, on evidence: development of the use cases proven profitable (the code we write belongs to you) or training where the analysis shows an adoption gap. No pricing is published: every quote follows the analysis and is given in a meeting.
Read-only, and no access to your data before signature: pre-sales happens in conversation. By default the analysis runs in our environment inside the European Union, from the exports provided; if your data protection officer requires it, the chain runs inside your own perimeter. Pseudonymisation and aggregation by design: we analyse usage, never people. No Idun product is recommended in the deliverables: the analysis serves your decision.
A generalist consultancy does AI among everything else. We do only this, and the analysis is carried by our usage-analysis tooling, so it is faster and more factual. Others measure usage, fix an interface friction or push you to build agents. We arbitrate the AI portfolio with a quantified return on investment and a roadmap you can present to a steering committee. Target set and measured at your site: 30 to 50 % lower cost on the targeted usage and 2 to 4 times fewer errors.
LVMH: design and operation of a generative AI agent platform in production. Airbus: citizen development at scale, AppSheet platform, governance, support agents. L'Oreal: rollout and usage governance across the group's Microsoft ecosystem.
Book a 30-minute discovery call. Then scoping through interviews with the IT department and the business units, analysis of the logs and exports you already have, and the debrief with its 6-month to 2-year roadmap.
