Executive Summary
Manual invoice processing is slow, prone to errors, and difficult to track. This case study details how we built an automated ingestion and approval pipeline using Power Automate and AI Builder, reducing invoice processing times by 80% for a corporate real estate client.
The Challenge: Manual Bottlenecks and Delayed Payments
The client's accounts payable operations were heavily dependent on manual data entry:
- Scattered Ingest Channels: Invoices arrived via different regional mailboxes, physical letters, and portal uploads, creating tracking challenges.
- Manual Data Entry Errors: Finance teams manually copied values into accounting databases, resulting in errors in vendor records and totals.
- Slow Approvals: Routing invoices across 50+ regional managers was managed via manual email threads, leading to long approval delays.
The Strategy: AI Builder & Power Automate Integration
We designed a modern, hands-free ingestion and approval pipeline using Power Platform:
Phase 1: Automated Ingestion & OCR Extraction
We configured shared mailboxes to trigger a Power Automate flow upon invoice arrival. The attachment is processed by an AI Builder document model trained to extract metadata.
Phase 2: Validation & Duplicate Checks
The flow validates the extracted invoice details against the active ERP vendor records to prevent duplicate payments and verify purchase orders automatically.
Phase 3: Interactive Approval Dashboard
Managers receive adaptive approval requests directly inside Microsoft Teams, allowing them to review vendor files and approve them on the go.
The Outcome
The automation project significantly improved processing speeds and operational visibility:
- 80% Time Savings: Automated ingestion eliminated manual file routing, saving the finance team over 30 hours weekly.
- Faster Turnaround: Invoice approval times dropped from an average of 48 hours to less than 2 hours.
- Improved Accuracy: Document model automation reduced data entry errors and payment delays to zero.