Scaling to 100% Automated Order Verification Without Adding a Single Hire
Client
Features
- AI Order Processing
- Automated Verification
- Fraud Prevention
Stats
- 100%Automated
- 100 %Instant Approvals
- 78 %Better Fraud Detection
Overview
Who is the Client?
Our client is a cellular service provider that offers subsidized internet and mobile plans to eligible customers. The company operates through field agents who visit customer’s homes to collect necessary documents and submit orders for new connections.

The Problem
The company previously relied on a 50-member manual auditing team to review and verify orders submitted by field agents. Each order required extensive validation, including:
- Proof of Identification (POI): Verifying names, addresses, dates of birth, Social Security numbers, and various ID types (e.g., driver’s licenses, state IDs, passports, etc.).
- Proof of Eligibility (POE): Ensuring customers qualify by checking supporting documents like EBT cards, Medicaid cards, or other government assistance documents along with receipts proving their validity.
- Fraud Detection: Identifying forged documents, duplicate applications, and fake eligibility proofs.
- Address Verification: Ensuring that applications are only approved for residential addresses and not business or commercial properties.
Challenges Faced:
- High operational costs due to the need for a large manual auditing team.
- Slow processing time, leading to delays in order approvals.
- Human errors in detecting fraudulent documents.
- Scalability issues as the company struggled to handle peak order volumes.
- Fraudulent activity from field agents manipulating order details to push approvals.
Solution
To tackle these inefficiencies, we developed and deployed an AI Agent. This AI agent completely automated the order verification process, replacing manual auditors and providing a scalable, real-time solution.
The AI-powered solution included:
- Automated verification of POI and POE through advanced AI models trained to detect forged or invalid documents.
- Multi-layer fraud detection to flag duplicate applications or suspicious patterns.
- Integration with APIs such as Google Maps API, Google Places API, and address verification services to distinguish residential and business addresses.
- Scalable AI workforce, allowing multiple AI agents to automatically scale up or down based on incoming order volume.
- Admin dashboards and reporting tools to monitor processed orders, approval rates, fraud detections, and agent activities.
- A secondary monitoring portal that tracks AI decisions and identifies potential fraudulent agent behaviors, like repeated attempts to manipulate order details.
Testimonial from the Client
"We had been running the same auditing process for years. Fifty people, reviewing documents one by one, catching maybe a fraction of the fraud that was actually slipping through. The first week the AI went live, it flagged patterns we had never even thought to check for. Not just forged documents, but field agents cycling through the same addresses with different applicant names. We did not expect it to catch that. Our team watched the approval queue clear in real time and nobody said a word. We all just looked at each other. That was the moment we knew this was not going back."
The Process
Step 1: Requirement Gathering & Analysis
Conducted deep workflow analysis of the existing order approval process.
Identified key bottlenecks and fraud loopholes.
Defined 15-16 verification checkpoints across POI and POE validation.
Step 2: AI Model Training & Development
Trained custom AI models using OpenAI, Gemini, and other machine learning techniques.
Developed OCR (Optical Character Recognition) models to read IDs, receipts, and other documents.
Created fraud detection algorithms to spot duplicate or altered applications.
Step 3: Chrome Extension Development & API Integration
Built a seamless Chrome extension that integrates with the company’s order processing system.
Connected Google APIs for address verification.
Implemented real-time order processing and status updates.
Step 4: Deployment & Scaling Automation
Deployed scalable AI agents that automatically increase or decrease based on workload.
Monitored system performance and fine-tuned AI accuracy.
Step 5: Fraud Monitoring & Admin Portal
Created an admin portal to track all processed orders and provide insights into:
Approval/rejection rates.
Fraudulent activity detected.
Detailed reasons for order denials.
Developed a fraud detection monitoring system that flags anomalies in agent behavior for further review.

Business Impact & Result
Massive Reduction in Manual Workforce
- Eliminated the need for 50 manual auditors
- 100% automation of order processing
- Real-time approvals, reducing wait time from hours to minutes
Improved Fraud Detection & Compliance
- 15-16 advanced checks automatically verify POI and POE
- AI-powered document forgery detection reduced fraud cases significantly
- Live address verification ensures orders are only approved for residential addresses
Scalability & Cost Savings
- AI agents auto-scale based on demand, optimizing resource usage
- Reduced operational costs by eliminating human auditing expenses
- Instant expansion capability as business grows

Conclusion
The scale of what this project replaced made it one of the more technically demanding builds we have done. Verifying identity documents, detecting forgeries, cross-referencing government assistance records, and flagging suspicious agent behavior are not simple tasks even for experienced humans. Building an AI system that does all of it reliably, in real time, and at scale required precision that left no room for approximation. The client now runs a leaner, faster, and more accurate operation. As order volume grows, the system scales automatically. Nothing breaks.
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