Leave Request Router
An AI agent that handles leave request routing for hr / people teams in general / cross-industry businesses. Triggered by new form submission, it extracts structured data, routes tasks to the right person, sends notifications, with human approval on every output.
Leave approvals are straightforward in theory but slow in practice when managers are busy. This agent routes requests, checks coverage, and applies policy rules instantly, keeping the process fair and fast.
Ideal For
- HR managers
- People ops
- Talent acquisition
- Teams in general / cross-industry
Data Sources
- Website form
- Spreadsheet (Google Sheets, Excel)
- Calendar (Google, Outlook)
Trigger
Workflow starts when: New form submission
Collect Data
Retrieve data from: Website form, Spreadsheet (Google Sheets, Excel), Calendar (Google, Outlook)
Extract structured data
Perform: extract structured data on the collected data
Route task to person
Perform: route task to person on the collected data
Send notification
Perform: send notification on the collected data
Human Review
Human approval: Always approve final output
Complete & Log
Log activity, update records, and close the workflow
If: Leave balance is sufficient
Then: Route to manager for approval
If: Leave overlaps with another team member
Then: Warn manager of coverage gap
If: Leave is requested for a blackout period
Then: Auto-decline with explanation and suggest alternatives
If: Leave balance will go negative
Then: Flag as unpaid leave and route to HR for policy check
Never expose API keys or credentials in outputs
Only perform actions within defined workflow scope
Maintain formal, business-appropriate language
Never send external communications without approval
- If data source is unavailable, retry 3 times then alert admin
- If AI response confidence is below 70%, flag for human review
- If no human response within 4 hours, send reminder and escalate to backup
- Tasks processed per day
- Error/failure rate
- Average processing time per request
- Auto-routing accuracy
- Coverage gap detection rate
- Human intervention rate
System Prompt
You are a HR / People AI assistant specialized in leave request routing. ## Your Role You help hr / people teams by automating leave request routing tasks. Your communication style is professional. ## Capabilities You can: extract structured data, route task to person, send notification. ## 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
Starter User Prompt
Process this form submission: [INSERT DATA HERE] Perform leave request routing 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.
# Leave request routing Agent - Standard Operating Procedure ## Purpose This SOP defines how the Leave request routing Agent operates within the organization. ## Trigger New form submission ## Data Sources - Website form - Spreadsheet (Google Sheets, Excel) - Calendar (Google, Outlook) ## Process Steps 1. Extract structured data 2. Route task to person 3. Send notification ## Human Oversight Always approve final output ## 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 extract structured data step
- 7Implement route task to person step
- 8Implement send notification step
- 9Configure human review/approval workflow
- 10Set up notification channels for reviews
- 11Test with sample data
- 12Configure error handling and alerts
- 13Set up logging and monitoring
- 14Document and train team
- 15Deploy to production
- 16Schedule first review
n8n Workflow
## n8n Workflow Outline ### Trigger Node - Type: New form submission - Configuration: Set up webhook/schedule/email trigger ### Input Nodes - Website form: HTTP Request or native integration node - Spreadsheet (Google Sheets, Excel): HTTP Request or native integration node - Calendar (Google, Outlook): HTTP Request or native integration node ### Processing Nodes 1. OpenAI Node: Extract structured data 2. Function/HTTP Node: Route task to person 3. Function/HTTP Node: Send notification ### 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...) - New form submission ### Data Lookup Steps - Search/Lookup in Website form - Search/Lookup in Spreadsheet (Google Sheets, Excel) - Search/Lookup in Calendar (Google, Outlook) ### Action Steps 1. ChatGPT by Zapier: Extract structured data 2. App Action: Route task to person 3. App Action: Send notification ### 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
- •Route leave requests to the correct manager based on department and type
- •Check for team coverage gaps before forwarding for approval
- •Auto-update the team calendar and notify colleagues when leave is approved
Tools Needed
Frequently Asked Questions
What does the Leave request routing Agent do?
An AI agent that handles leave request routing for hr / people teams in general / cross-industry businesses. Triggered by new form submission, it extracts structured data, routes tasks to the right person, sends notifications, with human approval on every output.
What tools do I need to implement this?
You'll need n8n or Zapier (workflow automation), OpenAI API or Claude API (AI processing), Google Sheets, Airtable. Most implementations use n8n or Zapier as the workflow automation layer.
How long does implementation take?
A basic implementation typically takes 1-2 days for simple workflows, or 1-2 weeks for complex integrations with multiple data sources.
How do I handle errors and edge cases?
The blueprint includes exception handling rules and escalation paths. Configure alerts for failures and set confidence thresholds for human review.
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
- •You have frequent leave request routing tasks
- •The process follows clear, repeatable rules
- •Current manual handling creates delays or errors
- •Team capacity is stretched on routine work
Not Ideal For
- •Tasks require complex judgment or creativity
- •Volume is too low to justify setup time
- •Rules change frequently and unpredictably
- •Data quality is poor or inconsistent
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 Leave request routing Agent? Use this blueprint to guide your setup in n8n, Zapier, or your preferred automation platform.
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