Audi: a multi-agent system to manage its cloud
Agentic AI is not only for customer relations. At Audi, it supports the teams running a cloud environment that has become very complex.
Illustrative photograph — Tyler Clemmensen / Unsplash. The vehicle shown illustrates the subject; the company named has no connection with Blue Lemon Agent.
The context
Security, costs, architecture best practice, infrastructure templates: running a large cloud calls for sharp skills and a considerable amount of time, spread across many projects.
How AI comes in
Rather than a single AI agent, Devbot has four specialised AI agents work together — security, cost optimisation, infrastructure building blocks and architecture compliance; a routing component directs each request to the right AI agent. That is the multi-agent principle: each masters its own part, and together they cover a broad subject.
What it means for you
Internal subjects (cloud, FinOps, governance) are often the most profitable, because they are invisible and neglected. On this case, Audi and its partner report up to 76 minutes saved per day per user (in the order of +16% efficiency): an order of magnitude communicated by the stakeholders, to be confirmed in your own context.
A public company case, restated by Blue Lemon Agent for illustration. No affiliation.
Editorial responsibility. This article is reviewed and approved before publication by the publication director, Ronan Le Boulaire, who bears editorial responsibility for it (see the legal notice). Writing-assistance tools may be used beforehand; no text is published without that human review.
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