Nestack Agent Care
Managed AI agent operations: Nestack Agent Care runs your production AI agents like production systems.
Overview
Nestack Agent Care operates production AI agents across goals, workflows, tools, LLMs, evaluations, guardrails, human review and business outcomes, coordinating incidents, costs and reporting to detect failures, manage policy risks, monitor performance drift and verify improvements. It offers 5,814 catalogued failure modes, 23 industry playbooks and a 30-minute critical SLA. Teams running AI agents in production use it for continuous oversight: end-to-end tracing, guardrails, active evaluation and human review, with structured incident response covering detection, containment, diagnosis, remediation and verification. Monthly audit-ready reports show what improved and what it cost, giving business and regulatory stakeholders evidence rather than assurances. Pricing is paid, with details available on request.
What it offers
Features
- Industry-specific AI operation playbooks with failure mode catalogs
- 24/7 telemetry and active evaluation of AI agent workflows
- Structured incident response including detection, containment, diagnosis, and remediation
Use cases
- Monitoring AI agents in banking to reduce regulatory and financial risks
- Improving healthcare AI agent safety and compliance through active evaluation
- Managing AI agents in retail to avoid inventory errors and revenue loss
Frequently asked questions
What industries does Nestack Agent Care support?
Nestack provides industry-specific playbooks covering sectors like healthcare, banking, retail, manufacturing, and many others for tailored AI agent monitoring.
How does Nestack handle incidents with AI agents?
It follows a procedure including detection, containment, diagnosis, remediation, notification, and learning to resolve and verify AI agent incidents.
Does Nestack provide ongoing monitoring and reporting?
Yes, Nestack offers continuous 24/7 monitoring with monthly audit-ready scorecards to track AI agent performance and compliance.
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