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An AI-augmented IT department embeds specialised AI agents at every stage of the software lifecycle, from specification to production monitoring, to automate repetitive work and shorten decision loops. Adservio installs these agents inside existing teams, with the governance layer that makes their decisions auditable.

An Adservio AI Discovery delivers a prioritised use-case backlog and an architecture blueprint in about four weeks. The squads then demo working software every week and ship a first production increment within the first sprints, rather than after a six-month proof of concept.

At Adservio, a pilot takes four to six weeks and starts from €50,000 depending on scope. Beyond that, cost depends on the number of use cases, the level of compliance required and whether models are hosted on sovereign infrastructure. Every engagement is framed with a measurable ROI target.

Reliability comes from three things: systematic evaluation pipelines run at every release, guardrails that constrain what the model may do, and AI observability that tracks drift in real usage. Adservio treats quality engineering as a founding practice, not a final test phase.

By keeping data and models under European jurisdiction: sovereign hosting, on-premise deployments and self-hosted European models. Adservio delivers stacks that are natively compliant with the AI Act, DORA, NIS2 and GDPR, for clients in energy, banking, transport and the public sector.

Through the Adservio AI Academy: prompt engineering, RAG, AI agents, MLOps and responsible AI, with OPCO-certified programmes and immersion on live client projects. Skills transfer happens inside the engagement, alongside the experts who build the system.