Managed AI Operations
Post-launch operations, drift monitoring, model deprecation, and incident response are part of owning an AI system in production. We deliver monitoring, evaluation, and incident response for live systems, including prompt-injection and data-leak detection.
Who it is for
Clients whose AI systems are already live, or about to be, and who need monitoring, evaluation, and incident response they cannot build themselves.
- Enterprise product owners
- Enterprise IT leadership
- Organisations with AI in production
Problem it solves
Most organisations ship agents into production and then discover their monitoring stack has nothing useful to say about LLM behaviour. Managed AI Operations closes that gap.
- "The agent behaves differently than last month and we don't know why."
- "Our LLM costs doubled without warning."
- "OpenAI is deprecating our model version, now what?"
What a typical engagement looks like
| Phase | Duration | Output |
|---|---|---|
| Monitoring | Ongoing | Latency, cost, error rate, tool-call success, output quality, user feedback |
| Evaluation | Ongoing | Eval harness against a curated test set, regression alerts |
| Incident response | 9×5 or 24×7 | Runbooks per system, post-incident review |
| Model lifecycle | Ongoing | Upgrade plan, deprecation tracking, re-evaluation on upgrade |
Team: An operations engineer from our team as lead, with escalation paths into the original build team.
Approach
- Observability: LangSmith, OpenTelemetry, custom traces. Client owns the data.
- Evaluation: automated (deterministic and LLM-as-judge) plus human review where needed.
- Prompt-injection and data-leak monitoring, not a checkbox.
- Hosting-agnostic. We operate the system on whatever infrastructure fits your architecture.
Proof
TODO(sanne): data point on a live system operated by Integratio (uptime, incidents, drift).
What this service is not
- Not a generic managed-services contract with "AI" bolted on.
- Not infrastructure operations (we do not run your network).
- Not model training; retraining is scoped separately.