Incident coordination
When a P1 fires, ProDexter assembles context from GitHub, Jira, Slack, and Notion in seconds, pages the right people, coordinates the response, and writes the postmortem.
The problem
When a P1 incident fires, responders waste critical minutes hunting for the right on-call person, digging through monitoring dashboards, Slack threads, recent deploys, and runbooks scattered across multiple tools. Coordination happens manually, context gets lost between handoffs, and postmortems take days to write because nobody captured what actually happened.
Context scattered across tools
The alert is in your monitoring tool. The runbook is in Notion. Recent deploys are in GitHub. The on-call schedule is in a spreadsheet. Responders lose minutes searching.
Slow responder identification
Finding who owns the affected service, who is on call, and who has the domain expertise to help takes too long when every minute counts.
Postmortems written from memory
Nobody captured what happened in real time. The postmortem is written days later from incomplete Slack threads and hazy recollections.
How ProDexter handles it
ProDexter connects your monitoring, code, ticketing, and communication tools into a single context graph. When an incident fires, specialized agents classify severity, notify the right responders with a structured briefing, coordinate response actions through risk-tiered execution, and capture everything for an automated postmortem.
The workflow
Detect and classify the incident
The context agent pulls the alert details from your monitoring tool, correlates them with recent deploys in GitHub and open tickets in Jira or Linear, and assigns a severity level for risk-tiered routing.
Identify responders and notify
The company context graph maps the affected service to its owning team, on-call rotation, and subject-matter experts. The operator agent pages the right people through Slack with a structured briefing, not a bare alert.
Assemble incident context
The research agent gathers related runbooks from Notion, recent pull requests, past incident records, and relevant Slack threads. Responders get compressed, permission-aware context instead of searching four tools.
Coordinate response actions
The planner agent breaks the response into tasks routed to agents or employees based on risk. Low-risk actions like updating the status page run automatically. High-risk changes like rollbacks go to the approval queue.
Track resolution and notify stakeholders
Every action, decision, and timeline update is captured. The writer agent drafts stakeholder communications in Slack and keeps the incident ticket current in Jira or Linear as the situation evolves.
Generate the postmortem
Once resolved, the writer agent produces a postmortem from the full coordination record: timeline, root cause, actions taken, and follow-up items. The quality agent checks it against your postmortem template before filing.
What makes this work
Instant context assembly
The research agent gathers runbooks, recent pull requests, past incidents, and related Slack threads. Responders get compressed, permission-aware context instead of searching four tools.
Smart responder routing
The context graph maps services to owning teams, on-call rotations, and subject-matter experts. The operator agent pages the right people with a structured briefing through Slack.
Automated postmortem
Every action, decision, and timeline update is captured. The writer agent produces a postmortem from the coordination record. The quality agent checks it against your template.
The outcome
ProDexter detects the incident signal, assembles relevant context from connected tools, routes tasks to the right people and agents, and tracks every action taken. Responders start with full situational awareness instead of scrambling, and the postmortem writes itself from the coordination record.
Full context in seconds
Responders start with relevant runbooks, recent deploys, and past incidents instead of searching.
Right people paged immediately
Service ownership and on-call mapped automatically. No guessing who to contact.
Risk-tiered response actions
Status page updates run automatically. Rollbacks and infrastructure changes go to the approval queue.
Postmortem writes itself
Timeline, root cause, actions taken, and follow-ups compiled from the live coordination record.
See ProDexter on your own workflows
A 30 minute walkthrough with your use case, your apps, your questions.