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CASE 03 · ENTERPRISE · AI & MACHINE LEARNING

Intelligent document processing with AI agents

INDUSTRYENTERPRISESERVICEAI & MACHINE LEARNINGTIMELINE8 WEEKS TO PRODUCTION
Intelligent document processing with AI agents
100k+
documents monthly
98%
extraction accuracy
$2M
saved annually
−90%
manual processing time

THE CHALLENGE

A Fortune 500 processed 100,000+ invoices a month by hand: a large back-office team keying data, three-way matching errors leaking money, and month-end close slipping. Every audit was an archaeology project.

THE SOLUTION

An agentic pipeline that extracts, validates and routes every document: line-item extraction, three-way matching against POs and receipts, anomaly flagging, and human review only for the exceptions. Every action logged for audit.

How we did it

01

Document analysis

Profiled the invoice corpus — formats, languages, edge cases and failure modes.

02

Extraction pipeline

Vision + language models tuned to 98% field-level accuracy against ground truth.

03

Verification agents

Three-way matching, duplicate detection and fraud flags — with full audit trails.

04

ERP integration

Straight-through posting into the ERP; exceptions queued with reasons attached.

STACK WE USED

Azure OpenAIAnthropic ClaudePythonAirflowSAP integrationVector databases
Ninety percent of the manual work is gone. The team that keyed invoices now manages exceptions — and month-end closes on time.

CFO

Fortune 500 client

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