Incident Response Agent for Telecoms
An AI agent that handles incident response triage for it / tech teams in telecoms & utilities businesses. Triggered by webhook / api call, it classifies and categorises, extracts structured data, escalates to a human, with human review on exceptions.
When systems go down, every minute counts. This agent triages incidents by severity, pages the right engineers, creates war room channels, and keeps the status page updated — so your team resolves, not coordinates.
Ideal For
- IT managers
- System admins
- DevOps teams
- Teams in telecoms & utilities
Data Sources
- Database / Data warehouse
- Slack / Teams
- Internal knowledge base
Trigger
Workflow starts when: Webhook / API call
Collect Data
Retrieve data from: Database / Data warehouse, Slack / Teams, Internal knowledge base
Classify / Categorize
Perform: classify / categorize on the collected data
Extract structured data
Perform: extract structured data on the collected data
Escalate to human
Perform: escalate to human on the collected data
Send notification
Perform: send notification on the collected data
Produce report
Perform: produce report on the collected data
Human Review
Human approval: Review exceptions only
Complete & Log
Log activity, update records, and close the workflow
If: Incident severity is P1 (critical)
Then: Page on-call engineer and create war room channel
If: Incident is a repeat of a known issue
Then: Apply known fix and monitor for resolution
If: Incident affects customer-facing systems
Then: Trigger status page update and notify support team
If: Incident is resolved
Then: Schedule post-mortem and close incident record
If: Action involves financial data or PII
Then: Require manager approval before proceeding
Never expose API keys or credentials in outputs
Only perform actions within defined workflow scope
Be concise and action-oriented
Log all actions for audit trail
Mask PII in logs and outputs
Require explicit approval for irreversible actions
- If initial responder cannot resolve within 30 minutes, auto-escalate to next tier
- If incident recurs within 7 days of a fix, reopen the original incident and flag as regression
- If no human response within 4 hours, send reminder and escalate to backup
- If error occurs with sensitive data, halt workflow and alert security team
- Log all exceptions with full audit trail for compliance
- Tasks processed per day
- Error/failure rate
- Mean time to acknowledge (MTTA)
- Mean time to resolve (MTTR)
- Incident recurrence rate
- Human intervention rate
System Prompt
You are a IT / Tech AI assistant specialized in incident response triage. ## Your Role You help it / tech teams by automating incident response triage tasks. Your communication style is direct. ## Capabilities You can: classify / categorize, extract structured data, escalate to human, send notification, produce report. ## Guidelines - Always be accurate and verify data before acting - Flag uncertain cases for human review - Maintain professional tone - Never make promises or commitments on behalf of the organization - Respect data privacy and confidentiality - Log all significant actions for audit purposes ## Constraints - Only access data sources explicitly provided - Do not perform actions outside your defined scope - Escalate edge cases rather than guessing - Require approval for all external communications - Apply strict data handling protocols
Starter User Prompt
Process this webhook / api call: [INSERT DATA HERE] Perform incident response triage according to your guidelines. Provide: 1. Classification/analysis 2. Recommended action 3. Draft output (if applicable) 4. Any flags or concerns
Handoff Prompt
This task requires human attention. Here is what I have processed: ## Summary [Brief description of what was done] ## Analysis [Key findings and classification] ## Recommended Action [What should happen next] ## My Concerns [Any flags, uncertainties, or edge cases] Please review and respond when available. Please review and advise how to proceed.
# Incident Response Agent - Standard Operating Procedure ## Purpose This SOP defines how the Incident Response Agent operates within the organization. ## Trigger Webhook / API call ## Data Sources - Database / Data warehouse - Slack / Teams - Internal knowledge base ## Process Steps 1. Classify / Categorize 2. Extract structured data 3. Escalate to human 4. Send notification 5. Produce report ## Human Oversight Review exceptions only ## Escalation Path 1. Agent flags issue 2. Notification sent to assigned reviewer 3. If no response in 4 hours, escalate to backup 4. Log all escalations ## Review Schedule Monthly review of agent performance and rules
- 1Define access credentials for all data sources
- 2Set up automation platform (n8n/Zapier)
- 3Configure AI API access (OpenAI/Claude)
- 4Create trigger workflow
- 5Connect input data sources
- 6Implement classify / categorize step
- 7Implement extract structured data step
- 8Implement escalate to human step
- 9Implement send notification step
- 10Implement produce report step
- 11Configure human review/approval workflow
- 12Set up notification channels for reviews
- 13Test with sample data
- 14Configure error handling and alerts
- 15Set up logging and monitoring
- 16Document and train team
- 17Deploy to production
- 18Schedule first review
n8n Workflow
## n8n Workflow Outline ### Trigger Node - Type: Webhook / API call - Configuration: Set up webhook/schedule/email trigger ### Input Nodes - Database / Data warehouse: HTTP Request or native integration node - Slack / Teams: HTTP Request or native integration node - Internal knowledge base: HTTP Request or native integration node ### Processing Nodes 1. OpenAI Node: Classify / Categorize 2. OpenAI Node: Extract structured data 3. Function/HTTP Node: Escalate to human 4. Function/HTTP Node: Send notification 5. Function/HTTP Node: Produce report ### Approval Node - Wait Node with Slack/Email notification - Resume on approval webhook ### Output Nodes - Update destination systems - Send notifications - Log activity
Zapier Zap
## Zapier Workflow Outline ### Trigger (Zap starts when...) - Webhook / API call ### Data Lookup Steps - Search/Lookup in Database / Data warehouse - Search/Lookup in Slack / Teams - Search/Lookup in Internal knowledge base ### Action Steps 1. ChatGPT by Zapier: Classify / Categorize 2. ChatGPT by Zapier: Extract structured data 3. App Action: Escalate to human 4. App Action: Send notification 5. App Action: Produce report ### Approval Path - Use Paths or Delay Until to pause for approval - Send notification via Slack/Email ### Final Actions - Update records - Send completion notification
Example Use Cases
- •Page on-call engineers for P1 incidents and create a war room channel
- •Apply known-fix playbooks for recurring incident types automatically
- •Update the status page and notify support when customer-facing systems are affected
Tools Needed
Frequently Asked Questions
What does the Incident Response Agent do?
An AI agent that handles incident response triage for it / tech teams in telecoms & utilities businesses. Triggered by webhook / api call, it classifies and categorises, extracts structured data, escalates to a human, with human review on exceptions.
How does the agent determine incident severity?
Severity is assigned based on the affected system's criticality tier, the number of users impacted, and whether the issue is customer-facing.
Can it apply automated fixes?
For known recurring incidents, the agent can trigger predefined runbooks. Novel incidents are escalated to engineers with diagnostic context.
How does it handle post-mortems?
After resolution, the agent schedules a post-mortem meeting, pre-populates a timeline from incident logs, and assigns the post-mortem document to the incident owner.
What level of technical skill is needed?
Basic familiarity with workflow automation tools (Zapier/n8n) is helpful. No coding is required for most implementations, though API integration experience helps for advanced setups.
Best For
- •Your team handles 5+ incidents per month
- •MTTR (mean time to resolve) is above your target
- •Incident coordination is chaotic during P1 events
Not Ideal For
- •Incidents are rare (<2 per month)
- •Your current process already achieves target MTTR
- •Each incident is completely unique and unpredictable
Review Before Launch
- All integrations tested with real credentials
- Error handling and retry logic configured
- Notification channels set up for alerts
- Team trained on reviewing exceptions
- KPI dashboard configured
- Rollback plan documented
Ready to implement your Incident Response Agent? Use this blueprint to guide your setup in n8n, Zapier, or your preferred automation platform.
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