AI Agents
Locally-run AI that analyzes, proposes, and assists — never acts autonomously
OrcaMonitor's AI Agents run entirely within your infrastructure using your configured model provider. They analyze incidents, correlate evidence, generate remediation proposals, and assist operators — but never execute without explicit human approval.
Enterprise AI operations require trust, transparency, and control. Every AI action in OrcaMonitor is logged, explainable, and gated. Agents can be configured with specific scopes, confidence thresholds, and escalation rules so your team remains in full command.
Key Features
What AI Agents does for your team
Incident Analysis Agent
Analyzes newly opened tickets against device history, alert chains, and knowledge base to generate a structured remediation proposal with confidence score and supporting evidence.
Alert Correlation Agent
Continuously monitors the alert stream to identify emerging patterns, group related events, and flag likely root-cause devices before a ticket is even opened.
Remediation Proposal Engine
Generates step-by-step remediation plans specific to the incident type, device, and observed symptoms. Plans include rollback steps and impact estimates.
Knowledge Retrieval
Searches the internal knowledge base for similar resolved incidents, matching runbooks, and configuration guidance relevant to the current incident.
Post-Resolution Analysis
After ticket closure, the AI agent writes a root-cause summary and recommends knowledge base updates or monitoring threshold adjustments.
Multi-Model Support
Configure any OpenAI-compatible model provider — including private Azure OpenAI endpoints — so your AI workloads stay within your trusted boundary.
Platform Capabilities
- Per-agent scope limiting (device groups, ticket categories)
- Confidence threshold configuration — only propose when sufficiently certain
- Token budget controls to manage LLM cost
- Fallback model routing if primary provider is unavailable
- Full AI reasoning trace attached to every proposal
- Agent activity log with all prompts and responses auditable
Deployment
AI model API calls can be routed to your private Azure OpenAI endpoint or other OpenAI-compatible providers you control. No incident data, device names, or configuration details are sent to external AI providers unless you explicitly configure one.
Related Modules
See every module, pricing tier, and deployment option on the OrcaMonitor overview.