[Framework]

AI Agent Ops Framework

A delivery and operations framework for running AI agents in production with confidence.

What is included

  • Evaluation harnesses and golden datasets for every agent release
  • Observability: traces, cost per task, latency, and outcome tracking
  • Guardrails, approval gates, and rollback paths
  • Runbooks the operations team owns, not the vendor

Agents fail quietly and expensively when nobody owns their behaviour. The framework gives product, engineering, and risk teams a shared set of controls so agents can be released, measured, and improved like any other software.

Ready to move from pilots to P&L?

Tell us about the decision or workflow you want to change. We'll come back with an honest view on whether it's worth proving, and what it would take.

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