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Managed AI Ops

Prompts drift. APIs break. Edge cases multiply. We keep the systems healthy after launch so the useful part stays useful.

Best fit: Teams already running automation or agents without anyone dedicated to keeping them in shape.

Deliverables
  • Monitoring coverage
  • Optimization cycle
  • Incident handling
  • Performance reporting
Example flows
  • Prompt drift checks for support copilots
  • Weekly tuning for lead qualification agents
  • Operational reviews for automation-heavy teams
Stack
ObservabilityAlertingEval loopsPostHogCustom dashboards
Can you manage systems you did not build?

Yes, after an audit. If the system is chaotic underneath, cleanup comes before maintenance.

What does support actually include?

Monitoring, fixes, tuning, and someone paying attention before your team notices something is off.