Customer escalation management
When a customer escalates, ProDexter pulls their full history from Salesforce, HubSpot, Jira, and Slack, scores severity, routes to the right team, and tracks SLA until resolution.
The problem
When a customer escalates, support teams scramble across CRM records, Slack threads, past tickets, and engineering backlogs to piece together what happened. Severity gets misjudged, routing is slow, and SLA clocks run while context is still being gathered manually.
Context spread across CRM, tickets, and Slack
The customer record is in Salesforce. Past tickets are in Jira. The account team conversation is in Slack. Support scrambles to piece together the full picture.
Severity misjudged, routing delayed
Without account tier, issue history, and SLA status in one place, escalations get the wrong priority. The right team gets involved too late.
SLA clocks run during manual handoffs
While support gathers context and finds the right owner, the customer waits. Response time targets slip before the investigation even starts.
How ProDexter handles it
ProDexter connects your CRM, ticketing, and communication tools into one customer context graph. The escalation agent detects signals, the context agent assembles account history, and the operator agent tracks SLA and sends updates. High-severity routing goes through risk-tiered approval.
The workflow
Detect and capture the escalation
The escalation agent monitors support channels for escalation signals. When one fires, it creates a structured case from the ticket, Slack thread, or email.
Build the customer context
The context agent pulls the customer's account record from Salesforce or HubSpot, related Jira or Linear tickets, recent Slack conversations with their account team, and any prior escalations from the context graph.
Assess severity and assign routing
ProDexter scores severity using account tier, issue recurrence, and SLA status, then routes the case to the right team. High-severity routing requires manager approval through risk-tiered execution.
Brief the response team
The writer agent generates a summary with timeline, customer sentiment, prior resolutions attempted, and recommended actions. The assigned team gets this in Slack or their ticketing tool, not a separate dashboard.
Track SLA and update the customer
The operator agent monitors resolution progress against SLA targets and sends status updates to the customer at defined intervals. If a deadline approaches with no resolution, it re-escalates automatically.
Close and store the outcome
Once resolved, the outcome is stored as workflow memory. Future escalations from the same customer or about the same issue surface what worked before.
What makes this work
Full customer context in seconds
The context agent pulls account records from Salesforce or HubSpot, related engineering tickets from Jira or Linear, Slack conversations, and prior escalations from the context graph.
Severity scoring and smart routing
ProDexter scores severity using account tier, issue recurrence, and SLA status. High-severity cases require manager approval through risk-tiered execution.
Automated SLA tracking
The operator agent monitors resolution progress against SLA targets and sends status updates at defined intervals. Approaching deadlines trigger automatic re-escalation.
The outcome
ProDexter assembles full customer context in seconds, assigns severity based on account data and issue history, and routes the escalation to the right team with everything they need to act. SLA tracking and customer updates run automatically until resolution.
Complete customer context assembled instantly
Account history, past tickets, engineering status, and team conversations in one briefing.
Accurate severity from real data
Account tier, recurrence patterns, and SLA status drive priority. No guessing.
SLA tracked automatically
Status updates sent on schedule. Approaching deadlines trigger re-escalation without manual monitoring.
Resolution outcomes stored for next time
Workflow memory surfaces what worked before when the same customer or issue type escalates again.
See ProDexter on your own workflows
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