🚀 Contract-to-Invoice AI Agent

🔥 Production-style AI agent that automates invoice generation from contract documents using rule-based intelligence.

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📌 Overview

This project simulates an end-to-end AI system that converts contract terms (SOW) and workforce data into structured invoices.

It demonstrates how real-world business rules can be transformed into an automated billing pipeline.

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💡 Problem Statement

Manual invoice generation from contracts is:

• Time-consuming
• Error-prone
• Difficult to scale

Organizations often struggle to:

• Interpret contract rules
• Apply complex fee structures
• Ensure billing accuracy

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✅ Solution

This project implements a rule-driven AI agent that:

• Extracts fee rules from contract data
• Processes workforce information
• Applies multi-stage billing logic
• Generates structured invoices automatically
• Validates results for accuracy

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⚙️ System Pipeline

1. 📄 Contract Ingestion
   → Reads contract structure and rules

2. 🧠 Rule Extraction
   → Identifies TA fees, OSS pricing, payment schedules

3. 📊 Data Processing
   → Loads and prepares workforce data

4. 💰 Fee Computation
   → Applies business logic:

   • Sourcing fees
   • Acceptance fees
   • Balance fees
   • OSS fees

5. 🧾 Invoice Generation
   → Creates structured invoice output

6. ✅ Validation
   → Ensures totals and calculations are consistent

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📥 Inputs

• data/sample_contract.md → Contract rules
• data/sample_workforce.csv → Employee dataset

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📤 Outputs

• outputs/sample_invoice.md → Generated invoice
• reports/agent_report.md → System summary

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🧠 Key Features

• Rule-based computation engine
• Multi-stage billing pipeline
• Referral vs non-referral logic
• Headcount-based pricing (OSS)
• Modular and extensible design
• Clean and interpretable outputs

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📊 Example Capabilities

• Converts contract rules into executable logic
• Processes multiple employees simultaneously
• Generates complete invoice breakdowns
• Supports scalable architecture for large datasets

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🚀 Future Improvements

• Add interactive UI (Streamlit)
• Deploy as API service
• Integrate database storage
• Enable real-time invoice generation
• Extend to multi-client workflows

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📁 Project Structure

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⚠️ Note

All data used in this project is anonymized and created for demonstration purposes only.
No real client or company data is included.

💬 Summary

This project highlights the ability to design intelligent systems that bridge business logic and automation.

It reflects strong skills in:

• AI system thinking
• Data processing
• Rule-based modeling
• End-to-end pipeline design

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📊 Scalability

Although this demo uses a small sample dataset, the system is designed to handle large-scale real-world data with hundreds of employees and complex billing rules.