# Managed AI Agent Operations: Running Production AI Agents Like Production Systems

Once an AI agent leaves the pilot stage, someone has to keep it working: watching for failures, checking costs, catching drift and proving that fixes actually fixed something. **Managed AI agent operations** hands that job to a dedicated team instead of leaving it to whoever built the agent.

This overview summarises how [Nestack Agent Care](https://nestackagents.com/) describes its managed AI agent operations service.

## What "operating" an AI agent covers

Nestack Agent Care operates production AI agents across eight areas:

- **Goals** – what the agent is supposed to achieve and under which constraints
- **Workflows** – the sequence of steps the agent follows
- **Tools** – the systems and APIs the agent calls
- **LLMs** – model versions, latency, tokens and cost
- **Evaluations** – ongoing checks of outputs and decision paths
- **Guardrails** – policy rules that block unsafe or non-compliant actions
- **Human review** – staffed reviewers for decisions that need a person
- **Business outcomes** – whether the agent actually delivered the result

Around those, the team coordinates incidents, costs and reporting so that failures are detected, policy risks are managed, performance drift is spotted and improvements are verified as conditions change.

## The operating picture

According to Nestack, a managed agent fleet runs with telemetry connected, end-to-end tracing, active evaluation runs and verification loops, monitored tool actions, verified guardrails, staffed human review, incident response on standby, and active cost and drift controls.

The service is backed by:

- **603 catalogued failure modes**
- **23 industry playbooks** (from accounting and banking to healthcare, construction and telecom)
- **A 30-minute enterprise critical SLA**
- **24/7 continuous agent operations**

## Why industry playbooks matter

Each industry playbook lists the risks Nestack monitors, the evaluations it runs and the procedures it follows. A banking agent is checked against regulatory and financial exposure; a healthcare agent against patient safety and compliance; a construction agent against site safety and project cost. That keeps monitoring specific to the work the agent actually does.

## Who it is for

Managed AI agent operations suits teams that already have agents in production, or are about to, and want them to stay reliable, compliant, secure and production-ready without building a full AgentOps function in-house.

Learn more: [Managed AI agent operations by Nestack Agent Care](https://nestackagents.com/).