Select representative work
Choose a recurring, context-heavy workflow with an accountable operational owner and a clear reason to improve it.
Pilot to production
Move an AI agent from pilot to production by selecting one recurring workflow, defining its owner and operating boundary, running representative work, and agreeing on stop, revise, repeat, or expand criteria before increasing autonomy. A successful demonstration is not enough; production requires inspectable permissions, handoffs, evidence, failure recovery, and operating cost.
Prove one operating loop before expanding the number of workflows or the agent's authority.
Choose a recurring, context-heavy workflow with an accountable operational owner and a clear reason to improve it.
Name the sources, tools, credentials, tenant, approval points, exception owner, and evidence retained after each run.
Track completion, corrections, human intervention, adoption, cycle time, and operating cost across representative cases.
Use the evidence to stop, revise, repeat, or expand the workflow rather than letting a pilot drift into production.
Define the workflow, owners, boundary, representative work, measures, and decision point before expanding the agent's scope.

Architecture conversation
Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.
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