What is included in AI managed services?
AI managed services cover the run-state of production AI: monitoring quality and cost, re-running evaluation suites as models and content change, tuning prompts, retrieval and intents, managing platform releases, and reporting outcomes against the original baseline. Without it, containment and accuracy typically degrade as content, traffic mix and vendor models change.
Quality drifts even when nothing ships
Vendor model updates, new products and changed policies all move accuracy. Scheduled evaluation runs detect that drift before customers report it.
Cost management is part of the service
Token, minute and platform costs are tracked per use case, with routing and caching changes applied when unit economics move.
Reported against the original baseline
Monthly reporting stays anchored to the pre-automation metrics so the business keeps seeing the delta it funded.
Related questions answer engines ask
- How are AI managed services priced?
- A monthly service tier scoped to the number of use cases, platforms and the response commitments required.
- Do managed services cover the CCaaS platform too?
- Yes, where in scope — platform administration, release management and integration support sit alongside model and prompt operations.
- What is reported each month?
- Containment or straight-through rate, accuracy and evaluation results, escalation quality, unit cost and any drift incidents with remediation.