AI escalation

Escalation AI assitant THAT YOU OWN

Bring your own models, control AI assitant environment and access, and change the context dynamically based on the alert payload.

Ask about AI escalation See escalation model
Assistant result Responder approval required
Summary

Checkout latency alert is still firing. Similar alerts were tied to database saturation during the last deploy window.

Evidence

Metrics, recent alert history, incident notes, and service ownership context point to the payments team.

Suggested action Escalate to payments on-call and start an incident if customer impact is confirmed.
Resolve Escalate further Escalate to John Start incident
AI should NOT replace responders, it should SUGGEST what to do and prove why

The assistant can prepare an investigation, show what it checked, state what was missing, and recommend the next action. The responder remains responsible for the final decision.

01 Bring your own models.

Use the AI provider and model setup that fits your team instead of buying a black-box inference layer from 1stLine.

02 Control the assistant environment.

You self-host the agent in your own environment and connect it to 1stLine through the provided controller. You decide where it runs, what it can access, and which tools are available during an escalation.

03 Change context per alert.

Attach different notes, skills, agents, MCP tools, and trusted context depending on the schema, service, chain, or alert payload.

MCP access

Let the assistant inspect approved systems, not everything.

MCP support lets your AI assistant use approved tools for systems such as monitoring, incidents, service catalogs, repositories, or internal knowledge sources. 1stLine can change which tools and context are offered based on the alert payload, so a database alert and a frontend alert do not need the same investigation environment.

Monitoring triage.Check approved dashboards, metrics, logs, traces, and runbooks around the alert window.
Incident correlation.Compare the alert with previous incidents, timelines, mitigations, and postmortems.
Ownership lookup.Use trusted catalog or repository context to identify affected services, dependencies, and owners.
Escalation suggestions.Recommend resolve, escalate further, escalate to a responder, start incident, or join incident when evidence supports it in one click.

Public Preview

Designed for assisted response, not autonomous remediation.

The assistant does not need the original destination webhook URL and should not perform alert lifecycle actions by itself. It returns an investigation and suggested actions for responders to approve.

Check Docs