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Finance & Document AI4-Week Reference Build & Integration

Invoice and Document Intelligence: From Inbox to ERP, With Evidence

Autonomous extraction with page-level bounding box evidence, deterministic three-way matching, and straight-through ERP posting.

Client: Mid-Market Enterprise & Multi-Entity Accounting Group•Vertical: Finance, Accounting & Enterprise ERP Operations•Verified Production System
PythonFastAPILLM Structured OutputAzure Document Intelligence / TesseractPlaywrightPostgreSQLOdoo ERP APIsNext.js 15
Invoice and Document Intelligence: From Inbox to ERP, With Evidence
PRODUCTION ARCHITECTURE BLUEPRINT100% OPERATIONAL
Straight-Through Rate
88%
Zero-touch posting for clean documents
Exceptions Catch Rate
100%
Duplicates & arithmetic errors intercepted
Reviewer Time Saved
-78%
Side-by-side evidence inspection
EXECUTIVE AI BRIEF // LLM CITATION READY

Structured architectural snapshot optimized for enterprise review and generative search synthesis.

01. Core Bottleneck

Finance teams receive invoices, contracts, and delivery notes via fragmented emails and supplier portals across diverse layouts and languages. Staff manually retype values into ERP systems (Odoo, Business Central, SAP), leading to month-end reconciliation nightmares: duplicate invoices, incorrect VAT calculations, and line-item discrepancies against purchase orders. Traditional OCR fails on non-standard layouts, while unconstrained LLMs hallucinate calculations with zero warning.

02. Architecture Protocol

Deterministic Rule & Arithmetic Verification Gates Outside Model; Playwright + REST API Dual-Channel Posting with SHA-256 Idempotency

03. Verified Telemetry & ROI

Straight-Through Rate: 88% • Exceptions Catch Rate: 100% • Reviewer Time Saved: -78%

04. Hardened Stack & Guardrail
PythonFastAPILLM Structured OutputAzure Document Intelligence / Tesseract

Enterprise Production Architecture / ISO 27001 Aligned

Problem Definition //

The Business & Architectural Challenge

Finance teams receive invoices, contracts, and delivery notes via fragmented emails and supplier portals across diverse layouts and languages. Staff manually retype values into ERP systems (Odoo, Business Central, SAP), leading to month-end reconciliation nightmares: duplicate invoices, incorrect VAT calculations, and line-item discrepancies against purchase orders. Traditional OCR fails on non-standard layouts, while unconstrained LLMs hallucinate calculations with zero warning.

Hard Technical Constraints

Zero arithmetic hallucinations: calculations, line items, and tax reconciliation must be 100% deterministic code checks, never LLM output
Immutable evidentiary audit trail: every extracted field must map directly to page-level coordinates and bounding boxes
Documents treated as untrusted input: embedded invoice text or prompt injection can never alter execution logic
System Design //

Key Architectural Decisions & Trade-Offs

Every major technical decision made during the engagement, with the trade-offs documented.

Deterministic Rule & Arithmetic Verification Gates Outside Model

Rationale: The LLM only parses and grounds raw text; Python performs all arithmetic checks, VAT validation, and three-way matches against purchase orders and goods receipts.

Trade-Off: Strict schema parser rejects documents with ambiguous line items to human review rather than guessing.

Playwright + REST API Dual-Channel Posting with SHA-256 Idempotency

Rationale: Posts cleanly to modern ERP REST APIs or executes headless browser actions for legacy portals with zero duplicate posting risk.

Trade-Off: Requires maintaining browser interaction scripts for portals lacking formal webhooks.

Execution //

Implementation Phasing & Execution

Stage 1: Multi-Channel Ingest & Immutable Hashing

Phase 1

Pulls attachments from IMAP, cloud folders, and supplier portals, assigning SHA-256 file hashes before saving to encrypted storage.

Ingestion webhook daemonFile hash ledgerDocument quarantine pipeline

Stage 2: Hybrid OCR & Structured Schema Extraction

Phase 2

Text-first PDF extraction with neural OCR fallback; extracts into strict Pydantic schemas capturing bounding box coordinates per line item.

Pydantic validation schemaBounding box visualizerConfidence gate evaluator

Stage 3: Deterministic Cross-Check & ERP Integration

Phase 3

Performs 3-way matching against ERP PO records; clean items post straight through; edge cases land in side-by-side human review UI.

ERP posting connector (Odoo/SAP)Side-by-side exception cockpitRegression evaluation harness
Results //

Verified Production Outcomes Matrix

Before vs. after comparison across every tracked benchmark — each cell represents a production measurement.

Benchmark MetricBefore StateAfter SHIVAM ITCSTangible Business Impact
Straight-Through Processing0% (100% manual retyping by AP staff)88% straight-through postingEliminated manual invoice data entry for over 4,500 monthly vendor bills.
Duplicate & Mismatch Leakage14–18 missed errors per month0 missed errors (100% caught pre-posting)Protected working capital by intercepting duplicate invoices and over-billed line items.
Exception Review Turnaround12 minutes per disputed invoice45 seconds with highlighted evidenceAP clerks resolve flagged exceptions instantly with page-level bounding box verification.
"

"The design principle here is bulletproof: AI reads and proposes, deterministic code checks and decides, and humans approve edge cases. Our AP errors dropped to zero in the first month."

F
Financial Controller
Head of Global AP & Treasury, OmniTrade Holdings

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KNOWLEDGE BASE // FAQ

Invoice and Document Intelligence: From Inbox to ERP, With Evidence - FAQ

Direct answers to architectural, technical, and operational questions.

7 Questions
Q01What type of case studies are featured in the SHIVAM ITCS portfolio?
Our portfolio features 30+ real-world enterprise implementations across AI Orchestration, High-Concurrency .NET Systems, Telematics IoT, Hospital Operating Systems, and Multi-Tenant SaaS.
PRODUCTION-VERIFIED ARCHITECTS

Ready to Build What You Read?

Schedule a technical scope review with Vijay & Ajay Paliwal to map out your architecture and timelines.

Cost Reduction
40–70%
Deployment Speed
3x Faster
Production Uptime
99.99%
VERIFIED DEPLOYMENTS:.NET 10 MicroservicesLangGraph SwarmsVectorless BM25 RAGZero-Trust mTLSSOC 2 & HIPAA Ready