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Azure AI agent operations playbook

Establish a repeatable operating model for piloting and productionizing AI agents in energy-focused teams.

Avery Kim

Principal Solution Engineer

May 2, 2026

@averykim-msft

Energy solution teams need an operating model for AI agents that balances delivery speed with safety, governance, and measurable business value.

  1. Align on a single operating scenario with a clear field or back-office owner.
  2. Define the trusted knowledge sources, action boundaries, and approval requirements.
  3. Instrument the experience so the team can review usage, quality, and escalation trends.

What to include in the first sprint

  • A narrow business process with observable inputs and outputs
  • Role-based access aligned to the target user group
  • Prompt and retrieval evaluation criteria that the team can reuse later

Exit criteria for production readiness

Promote the agent only when it has a documented deployment path, support owner, feedback loop, and a clear plan for handling policy or data-quality exceptions.