For project conversations, start with services and solutions or the AI agent checks.
Moving an AI workflow from prototype to regular use needs a workflow boundary, production implementation, evaluation fixtures, telemetry, release controls, handover, and a runbook.
Agentic workflow evaluation needs bounded fixtures, run evidence, authority checks, telemetry, and release decisions. A good demo is not enough evidence for rollout.
Agent memory is not just extra context. It needs source boundaries, write policy, retrieval evaluation, permissions, audit logs, monitoring, and failure handling before it can be trusted inside production workflows.