Entry point
Managed AgentOps
What it unlocks
Continued value of AI agents.
What you get
Continuous operation of the AI agents team under a subscription model, with behavior and performance SLAs. Includes monitoring and issue resolution; analyzing root causes of drift; adjusting prompts, contexts, tools, and routing; managing model continuity when vendors deprecate versions or better alternatives emerge; AI FinOps, consumption governance as an ongoing discipline, with budgets, model routing by step, and cost per task; quarterly revalidations; and deactivations as scheduled routines. Each adjustment cycle increases the success rate and reduces human intervention — and that becomes an argument for expanding delegated authorities.
- Explicit exclusions by contract: unavailability of client or third-party systems, volume variations above thresholds, changes in regulations, changes in internal policies, configuration drifts introduced by third parties, and delays in approving human gates
Operate within defined authority
What the agent may do, up to what limit, and who answers for it.
Measure what happened
Accuracy, human intervention, and cost per task.
Revalidate every quarter
An identified person decides, with the track record on the table.
Revise the authority
Raise, keep, or reduce.
↺ The cycle starts again, with the revised authority.
How it is measured
By SLA indicators, reported monthly with historical series and comparison against baselines.
How long it takes
A recurring contract, typically twelve months, with quarterly revalidation.
Who it is for
COO, CIO, and process owners who have AI agents in production.