PROJECT 003 // VAULTDocument Intelligence / Vision AI
CASE STUDY & SYSTEM ARCHITECTURE

From paperwork to structured intelligence.

VAULT transforms incoming PDFs, scanned forms, invoices, and multi-page contracts into validated, schema-conformant JSON ready for downstream ERPs and databases. It combines OCR and vision-language models with deterministic business validation rules and a fast human-in-the-loop exception queue.

CORE TECHNOLOGY STACK
Python
FastAPI
OCR
Vision Models
Structured LLM Outputs
EDITION 003 // 006DRAG TO ORBIT 3D COLLECTIBLE
THE VAULT // COLLECTIBLE SCULPT

A sculptural futuristic scanner vault with moving doors.

FINISH: POLISHED DESIGNER RESIN & INDUSTRIAL COMPOSITE
01 // THE BUSINESS PROBLEM

WHY LEGACY WORKFLOWS BREAK DOWN.

Operations and finance teams still spend hours keying data from inconsistent vendor invoices, signed contracts, and scanned forms into core systems.

PAIN 01

Rigid template-based OCR breaks whenever a vendor changes an invoice layout or table structure.

PAIN 02

Handwritten annotations, stamps, and multi-column tables confuse plain text extraction pipelines.

PAIN 03

Blindly trusting raw model outputs without validation rules risks pushing bad totals or mismatched line items into accounting systems.

02 // THE SOLUTION OVERVIEW

HOW VAULT SOLVES IT.

VAULT pairs visual page understanding with strict schema extraction, automated cross-field math/policy validation, and a focused review station for flagged exceptions.

WIN 01

Layout-agnostic extraction using vision-language models guided by strict JSON schemas.

WIN 02

Deterministic validation engine that verifies line-item sums, tax rates, dates, and required clauses.

WIN 03

Bounding-box visual grounding so human reviewers can verify or correct any uncertain field in seconds.

03 // KEY SYSTEM CAPABILITIES

BUILT FOR PRODUCTION REALITY.

6 CORE MODULES // VAULT

CAPABILITY 01VISION AI

OCR & Vision-Language Processing

Reads scanned pages, complex tables, skew-angled photos, and multi-column layouts using multimodal models.

MODULE STATUSSPECIFIED
CAPABILITY 02EXTRACTION

Structured Information Extraction

Maps arbitrary document layouts into strongly typed Pydantic / JSON schemas with field-level confidence scores.

MODULE STATUSSPECIFIED
CAPABILITY 03ROUTING

Document Classification

Automatically routes mixed document packets into invoices, purchase orders, contracts, or KYC forms.

MODULE STATUSSPECIFIED
CAPABILITY 04VALIDATION

Validation & Exception Detection

Runs mathematical, referential, and policy checks across extracted fields to catch discrepancies automatically.

MODULE STATUSSPECIFIED
CAPABILITY 05HUMAN LOOP

Human Review Workflows

Routes low-confidence or rule-failing fields to an interactive split-screen review queue.

MODULE STATUSSPECIFIED
CAPABILITY 06EXPORT

Export to Business Applications

Delivers verified structured records via webhooks, REST APIs, or batch exports to downstream systems.

MODULE STATUSSPECIFIED
04 // END-TO-END WORKFLOW ILLUSTRATION

FROM INPUT TRIGGER TO VERIFIED OUTPUT.

STEP 01
Document Gateway

Upload & Split

Splits multi-page packets and classifies invoices, contracts, and forms.

STAGE ARTIFACT
Classified Page Set
STEP 02
Vision-Language Model

Visual Extraction

Reads tables, headers, and clauses into a strict target JSON schema.

STAGE ARTIFACT
Typed Extraction Payload
STEP 03
Validation Engine

Validate Invariants

Checks arithmetic totals, required fields, and business rules.

STAGE ARTIFACT
Validation Report
STEP 04
Reviewer / Webhook

Review & Export

Resolves any flagged exceptions and dispatches clean JSON to business systems.

STAGE ARTIFACT
Verified Business Record
05 // AI ENGINEERING APPROACH

DETERMINISTIC GUARDRAILS + APPLIED INTELLIGENCE.

AI extraction without deterministic validation is a liability in finance and operations. We pair multimodal flexibility with strict programmatic invariants.

PILLAR 01

Schema-First Prompting

Every document type is defined as a versioned data contract; models are constrained to emit valid typed structures rather than freeform prose.

PILLAR 02

Deterministic Checksums

Code — not the LLM — checks that `subtotal + tax == total` and cross-checks vendor identifiers against master records.

PILLAR 03

Exception-Only Human Review

Reviewers only touch fields that fail validation or fall below confidence thresholds, keeping human effort focused where it matters.

06 // INTERACTIVE TECHNICAL ARCHITECTURE BLUEPRINT

SYSTEM ARCHITECTURE & DATA FLOW.

Staged document pipeline combining multimodal vision extraction with deterministic validation gates and an exception review state machine.

Illustrative reference architecture — configurable per document schema and downstream ERP/webhook target.
ACTIVE LAYER: 01 · INTAKEDocument Gateway

Accepts multi-page packets via API upload or watched inbox, splitting pages and normalizing image resolution.

Document Gateway —[Normalized pages]→ Page Classifier & OCR