Integrate with AI Incident Assistant and Prevention
AI Incident Assistant automates triage, investigation, and communication during an active incident, and AI Incident Prevention identifies patterns and risks across historical data so your team can act before the next incident starts.
Integrations for these products are configured differently from monitoring or alert integrations. Instead of streaming alert data into BigPanda, they give the AI agents access to the tools and data sources they need to investigate, take action, and share context with your team. Configure each integration once and the AI Incident Assistant can call it during any relevant action plan.
AI Incident Assistant data sources
AI Incident Assistant integrations are grouped by the kind of work the agent performs with them:
Model Context Protocol (MCP) - A flexible, open standard for connecting AI Incident Assistant to tools that do not have a dedicated integration. Use MCP to bring your own observability or ITSM tooling into agent workflows.
Chat and Conferencing- Lets the AI Incident Assistant post updates, summaries, and action items in Microsoft Teams, Slack, Webex, and Zoom, and open incident channels or bridges for live collaboration.
CMDB- Gives the agent service ownership, maturity, and dependency context from tools such as OpsLevel so that recommendations align with how your services are organized.
ITSM- Connects to ServiceNow, Jira, and BMC Remedy so the agent can read tickets, post updates, and create or link records as part of an action plan.
Observability- Grants the agent access to monitoring and telemetry tools such as Datadog, Dynatrace, Elasticsearch, Grafana, New Relic, Prometheus, Splunk, and ThousandEyes for deeper investigation.
On-Call- Integrates with PagerDuty, OpsGenie, Grafana OnCall, Everbridge, Jira Service Management, and MIR3 so the agent can page the right responder and reference on-call schedules.
Source Control- Connects to GitHub to correlate recent code changes with incidents and surface relevant pull requests during investigations.
AI Incident Prevention data sources
AI Incident Prevention does not require dedicated integrations of its own. Instead, it draws on data already flowing into the BigPanda IT Knowledge Graph through:
Unified Data Connector pipelines for ITSM, change, knowledge, and external signal data.
Event Intelligence and ADR integrations that supply live alert, incident, change, and topology data.
The more complete your UDC pipelines and alert integrations, the more accurate AI Incident Prevention's pattern detection will be. See BigPanda Unified Data Connector for the recommended tables and sync settings.
Connecting on-prem tools
Many AI Incident Assistant integrations support both cloud and on-prem deployments. For tools running behind a firewall, use the Relay Client to enable secure communication without exposing your infrastructure to the internet.
Deployment type
When configuring any on-prem integration, select the correct Deployment Type so that AI Incident Assistant applies the right guardrails and endpoint behavior for your agents.