Turn fragmented complaints into coordinated recovery.
CrisisCrew treats customer conversations as a real-time operational signal. It detects emerging incidents, launches specialist agents, investigates systems through MCP, proactively updates customers, and hands off only when human judgment is required.
Live customer signals
Freshworksstreaming conversationsPattern Agent
semantic + temporal correlationAgent swarm
5 specialist agentspermission-scoped orchestrationProbable root cause
MCP investigationAutonomous incident workflow
from signal → diagnosis → customer recoveryCorrelate customer signals
Cluster semantically different conversations using timing, product area, entities and error patterns.
Launch specialist agents
Query payment status, deployment history and service health through controlled MCP tools.
Protect affected customers
Link tickets, suppress duplicate work, notify customers proactively and create recovery actions.
Escalate high-risk actions
Human operators receive root cause, impact, actions taken and the recommended next decision.
Customer recovery plan
waiting for incidentElevenLabs customer recovery voice
live simulationImpact snapshot
demo scenarioAction conclusions
live outcomewhat every agent action actually concluded1 · Detection conclusion
Waiting for customer signals to form a reliable pattern.
2 · Investigation conclusion
No root-cause conclusion yet.
3 · Recovery conclusion
Customer-protection actions have not started.
4 · Human-boundary conclusion
No high-risk decision has reached the approval boundary.
CrisisCrew will summarize the completed incident response after the demo finishes.