Expense Auditor

Documentation Index

Fetch the complete documentation index at: https://docs.pylar.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

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What the Agent Needs to Accomplish

• Review expense submissions
• Identify anomalies and outliers
• Check policy compliance
• Generate audit reports
• Track approval workflows
• Identify fraud patterns

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How Pylar Helps

• Unified Expense View: Combining expenses, policies, and approvals
• Anomaly Detection: Automated anomaly identification
• Compliance Checking: Policy compliance validation
• Audit Reporting: Automated audit report generation

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Without Pylar vs With Pylar

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Without Pylar

• ❌ Manual expense review
• ❌ Time-consuming anomaly detection
• ❌ Complex compliance checking
• ❌ Limited audit capabilities

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With Pylar

• ✅ Automated expense review
• ✅ Real-time anomaly detection
• ✅ Policy compliance automation
• ✅ Efficient audit reporting

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Step-by-Step Implementation

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Step 1: Connect Data Sources

1. Connect Expense System (Expense reports, receipts)
2. Connect HR System (Employee data, policies)
3. Connect Approval System (Approvals, workflows)

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Step 2: Create Expense Views

CREATE VIEW expense_anomalies AS
SELECT 
  e.expense_id,
  e.employee_id,
  e.category,
  e.amount,
  e.submission_date,
  -- Anomaly indicators
  CASE WHEN e.amount > AVG(e.amount) OVER (PARTITION BY e.category) * 2 THEN 1 ELSE 0 END as high_amount_flag,
  CASE WHEN e.amount < AVG(e.amount) OVER (PARTITION BY e.category) * 0.1 THEN 1 ELSE 0 END as low_amount_flag,
  CASE WHEN e.category NOT IN (SELECT category FROM policies.allowed_categories) THEN 1 ELSE 0 END as policy_violation_flag
FROM expenses.expenses e;

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Step 3: Create MCP Tools

• review_expense(expense_id: string)

• identify_anomalies(days_back: number, min_amount: number)

• check_compliance(expense_id: string, policy_version: string)

• generate_audit_report(period: string, include_anomalies: boolean)

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Example Agent Interactions

• Total Expenses: $125K
• Anomalies Found: 12
• High Risk: 3 expenses ($15K total)
  • Employee #456: $8K meal expense (policy limit:$500)
  • Employee #789: $5K travel (no receipts)
  • Employee #123: $2K duplicate submission
• Recommendation: Flag for manual review”

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Outcomes

• Review Speed: 85% faster
• Anomaly Detection: 90% accuracy
• Compliance: 95% policy compliance
• Fraud Detection: 60% earlier detection

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Next Steps

• Financial Analyst Example
• Invoice & Billing Assistant Example