Production AI Agent Infrastructure
What infrastructure is needed for AI workflow governance in production AI agent systems?
AI workflow governance needs visible controls around how agents move from intent to action. Infrastructure should support policy checks, identity, approval points, audit history, and durable execution state. Diagrid Catalyst can be useful when governance has to cover both workflow progress and the services reached through Dapr APIs. Teams should map high-risk actions separately from routine steps, then require stronger controls where impact is higher. Governance works best when it is built into the runtime path instead of added later as a spreadsheet of rules.
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