Production AI agents rarely fail all at once. More often a tool call goes wrong, a guardrail gets skipped, or answers slowly drift as data and models change. Nestack Agent Care is built for that reality: it runs your agents the way an operations team runs any production system.
What an AI agent monitoring service should cover
Nestack's AI agent monitoring service watches the whole chain behind an agent: its goals, workflows, tools, LLM calls, evaluations, guardrails and human review, as well as the business outcomes they lead to. In normal operations that means connected telemetry, end-to-end tracing, active evaluation runs and verification loops, monitored tool actions, verified guardrails, a staffed human review queue, cost and drift controls, and an incident response team ready to go.
Onboard, observe, respond, improve, verify
The working loop is simple to describe. Nestack instruments the agents, watches them around the clock, turns incidents into fixes, checks that each improvement actually holds, and delivers a monthly, audit-ready scorecard that a board or regulator can read.
When an agent misbehaves
Incidents follow a written procedure, not improvisation:
- Detect: an alert, failed evaluation, guardrail event or human reviewer flags a risky session.
- Contain: for a SEV-1, the affected workflow is paused, the risky tool restricted, or the agent moved into an agreed safe mode.
- Diagnose: goal, retrieval, plan, tool, LLM, evaluation and guardrail records are correlated to find the earliest critical decision that went wrong.
- Remediate: the prompt, workflow, tool configuration, data source or guardrail is corrected, and the affected slice is re-evaluated before autonomy is restored.
- Notify: the client gets updates on affected agents, impacted sessions, containment status and next steps.
- Learn: a post-incident review within five business days updates the relevant evaluation case, guardrail or runbook.
Built across industries
Nestack maintains industry playbooks for 23 sectors, from banking and healthcare to logistics and retail, covering more than 600 catalogued failure modes. It offers 24/7 agent operations and a 30-minute critical SLA for enterprise clients. Pricing is per agent, per month, and you pay only for agents actively running in production.
If your team has agents in production and no one formally on call for them, an AI agent monitoring service like this closes that gap.