Managed Operations
Keep Your AI Agents Dependable After Launch
Managed operations is the ongoing work that keeps your AI agents dependable after launch: stable performance, predictable costs, tight security, and clear accountability.
It's the practical AgentOps/LLMOps layer—monitoring, evaluation, incident response, and lifecycle updates—that turns an agent from a demo into a service you can trust.
What "Managed Operations" Means
Once an agent is live, the real risk is drift: tool changes, prompt changes, new user behavior, and model updates that quietly degrade outcomes.
Managed operations puts structure around that reality with observability, evaluation, and governance so issues are detected early and fixes ship safely.
What's Included
Monitoring & Observability
End-to-end traces for agent runs (model calls, tool usage, failures), plus live tracking of latency, reliability, and spend.
Continuous Evaluation
Automated test suites and recurring evals to measure correctness, relevance, and behavioral consistency across real scenarios—not just happy paths.
Incident Response & Reliability
Fast triage, runbooks, escalation paths, and post-incident reviews focused on preventing repeat failures.
Governance, Safety & Auditability
Guardrails, decision logs, and versioning so you can explain what happened, why it happened, and what changed over time.
Lifecycle Management
Routine updates to prompts, models, tools, and orchestration—plus rollbacks when changes introduce regressions.
How Engagement Works
Most teams choose a monthly managed service that combines day-to-day monitoring with a steady cadence of improvements, so internal engineers stay focused on product work.
Support can be scoped around agreed SLAs/SLOs and a shared backlog of reliability and quality work, with regular operational reviews.
When It's a Strong Fit
Managed operations is a fit when agents touch revenue, customer experience, or regulated data—and "good enough in testing" isn't good enough in production.
It also helps teams scaling from one agent to many, where multi-step workflows and tool integrations create operational complexity that needs dedicated AgentOps discipline.
Ready for Dependable Agent Operations?
Let's discuss how managed operations can keep your agents running smoothly in production.