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AI-Powered Invoice Automation

End-to-end accounts payable and receivable automation with intelligent document understanding.

HomePortfolioAI-Powered Invoice Automation
All case studies
ManufacturingGrowth-stage Manufacturing

Timeline

10 weeks

Team

4 engineers + 1 PM

Client Stage

Growth-stage Manufacturing

The Problem

Finance teams spent hours manually processing invoices — extracting line items, validating against ERP data, and reconciling totals. The process was error-prone, slow, and consistently delayed month-end close cycles.

AI-Powered Invoice Automation

Our Approach

1

Process Mapping (Week 1–2)

Shadowed the finance team through a full month-end close to map every manual step. Catalogued the 14 invoice formats in circulation and the ERP fields each needed to land in.

2

Document Intelligence Pipeline (Week 3–5)

Built ingestion and extraction on Azure Document Intelligence with custom-trained models for the client's vendor invoice formats. Added a verification layer using Azure OpenAI to catch edge cases the layout models missed.

3

ERP Integration & Reasoning (Week 6–8)

Integrated bidirectional sync with the client's ERP. Added AI reasoning for 3-way PO matching, tax calculation validation, and currency conversion checks before any record was written back.

4

Chat Interface & Rollout (Week 9–10)

Shipped a conversational query layer so finance users could ask 'Show me all unreconciled invoices over $50K from Q3' in plain English. Rolled out to the AP team with a 2-week supervised period.

The Solution

We built an AI-powered document processing platform using Azure Document Intelligence and Azure OpenAI to extract, validate, and reason over financial data. A natural-language chat interface lets finance teams query invoices conversationally, and automated ERP cross-checking eliminated manual reconciliation.

Why This Tech Stack

Azure Document Intelligence was the fastest path to production-grade extraction without us training OCR models from scratch. Azure OpenAI's function calling made ERP tool-use deterministic and auditable — critical for finance workflows where every write-back is traceable.

The Outcome

Reduced invoice processing time from hours to seconds. Month-end close cycles accelerated significantly, and the finance team recovered capacity previously lost to manual data entry — now redirected to higher-value analysis.

Key Metrics

4 hrs → 12 sec

Avg. invoice processing time

98.5%

Extraction accuracy

6 days → 2 days

Month-end close acceleration

~60%

Finance team capacity recovered

Tech Stack

ReactViteTailwind CSSPython DjangoAzure OpenAIAzure Document IntelligenceAzure CosmosDBAzure KubernetesDockerNginx

Project Details

Industry
Manufacturing
Client
Growth-stage Manufacturing
Timeline
10 weeks
Team
4 engineers + 1 PM

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