Managed AI services
A long-term engagement where the vendor takes ongoing operational responsibility for the AI platform and accelerator library against a defined SLA, rather than handing over to the customer's team.
What Managed AI services means in practice
Managed AI services is the engagement model where the vendor retains long-term operational responsibility for the platform — ongoing model upgrades, eval refreshes, integration maintenance, dashboard refreshes, accelerator additions — against a defined service-level agreement. The customer pays a recurring fee rather than a project fee. It's the right model when the customer values predictable operational outcomes over team-building, or when the AI capability is not core to the customer's hiring story. MindMap's Managed AI CoE engagement runs against this pattern with a dedicated 4–8 FTE pod plus 24/7 monitoring and quarterly strategy reviews.
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All 62 terms, in plain language
Sovereign AI, RAG, agentic AI, IDP, MLOps and the regulations that shape enterprise AI.