Our Work
Systems we've built.
Problems we've solved.
Every case study here is a production system deployed in a real business environment with documented outcomes. We don't publish theoretical examples or sanitised demos. These are real numbers from real operations.
Loan processing from 5 days to 18 hours.
A lending operation running on manual document review three full-time staff dedicated to verification, high error rates, and a 5-7 day average before a file reached underwriting. We built an intelligent document processing and decisioning system that eliminated the manual layer entirely.
Measured Outcomes
Processing time
−87%
Error rate
−91%
Staff on process
Full redeployment
Throughput
+400%
Agent Architecture
Document Intake Agent
Classifies, extracts, and validates all incoming loan documents automatically
Credit Analysis Agent
Pulls bureau data, income signals, and risk indicators into a structured summary
Underwriting Assist Agent
Generates decision recommendation with confidence score and supporting evidence
Compliance Check Agent
Verifies regulatory requirements before any file proceeds to human review
Our Approach
We started with a two-week audit of every document type in their pipeline 23 distinct formats, each with its own extraction logic. Rather than a generic OCR layer, we built format-specific extractors with validation logic designed around their underwriting rules. The multi-agent architecture meant each stage could fail safely and escalate to human review with full context.
Technology
In Progress
Insurance
Conversational AI for Claims Intake
Automated FNOL across voice and digital reducing claims initiation from 3 days to 4 hours.
Accounting & Tax
Practice Automation for 300+ Client Firm
Reconciliation, document management, and client communication automated across a multi-partner CA practice.
Real Estate
Transaction Intelligence Platform
Document intelligence and workflow automation cutting deal cycle time by 40% for a regional brokerage.
Production systems only
Every case study here is live in a real environment. We don't publish proof of concepts or demo results.
Documented numbers
Every outcome is measured against real business metrics time, cost, error rate, capacity. Not vague improvements.
Agent architecture shown
We show you how the system works what agents we built, what they do, and why we designed it that way.
Want to discuss a similar challenge?
Walk us through what you're working on. We'll tell you honestly what's achievable and what it would take.