AgentOps Incident Triage Console
32 Signals

AgentOps Incident Triage Console

A SaaS observability tool that monitors AI agents, detects failures, and speeds incident triage with evaluation traces and operational context.

Added Jun 11, 2026

AI Observability
Incident Management
DevOps
Opportunity score

Medium opportunity (66%)

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The Problem

Teams building AI agents and generative AI applications struggle to monitor, troubleshoot, and optimize systems once they move from prototype to production. Existing observability workflows are being stretched by agent behavior, model outputs, fraud and integrity risks, and incident response needs across engineering and operations teams.

Potential Solution

The product provides a unified workspace for AI agent traces, evaluations, runtime monitoring, and incident triage. It connects observability data with AI-assisted detection, root-cause hints, and investigation workflows so teams can identify degraded behavior, failed tool calls, suspicious usage, or customer-impacting incidents faster.

Why Now?

Generative AI systems are moving into production, and multiple companies are hiring specifically around AI observability, ML observability, AI-native incident management, and AI-assisted investigations. This suggests demand is shifting from experimentation toward operational reliability tooling.

Market validation
Search demand

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Competition (0)

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Showing 1-20 of 32 signals

Job adsSep 18, 2026
ibm
AI Specialist (Technical Support Representative)

AI Agent Integration: Integrating AI agents with observability, telemetry, event management, and operational monitoring platforms to enable intelligent automation and incident response.

Job adsSep 17, 2026
netflix
Software Engineer L5 - AI Observability & Agent Evaluation

The AI Observability team makes AI, ML, and Agentic systems transparent, reliable, and production-ready at scale. We build end-to-end observability for ML and GenAI workloads, capturing model inputs, features, predictions, outcomes, and behavior across online and batch systems. Our platform enables teams to monitor model performance, data quality, drift, latency, and failures, turning the ML system from a black box into an explainable, debuggable system. We provide developer-friendly libraries,

Job adsSep 11, 2026
pointclickcare
Senior Infrastructure SRE

Develop observability strategies: metrics, logs, distributed tracing, alerting frameworks Apply AI-assisted tooling to reduce toil and speed up investigation: log analysis, alert triage, runbook and post-mortem drafting, automation scaffolding

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