Intelligent Document Processing Platform
From inbox to insight — documents processed, validated, and routed without manual re-keying.
Every enterprise runs on documents — invoices, contracts, claims, KYC forms — arriving in every format imaginable: scanned PDFs, photographed forms, structured exports, free-text emails. Keying that data in by hand is slow, inconsistent, and quietly expensive at any real volume. Intelligent Document Processing combines OCR, AI-based extraction, and workflow automation to turn that pile of documents into structured, validated data your systems can actually use — with a human in the loop only where it genuinely matters.
OUR NUMBERS
7
Stages, document intake to decision
4
Delivery phases, baseline to scale
7
Document types covered out of the box
OCR + AI
Operating model for ML + GenAI
Why It Matters
- Documents arrive in every format imaginable — scanned PDFs, photos, Word files, structured exports — and legacy systems choke on the inconsistency.
- Manual data entry and document review is slow, repetitive, and error-prone at any real volume.
- Without structured extraction, there's no reliable way to validate, flag exceptions, or analyze what's actually in a document.
- Decisions — approvals, payments, onboarding — get delayed while someone manually reads through paperwork.
The Document Processing Pipeline
A repeatable seven-stage pipeline carries every document from arrival to a decision someone can act on.
Discover
Identify the use case, document types, KPIs, and business rules up front.
Ingest
Receive PDFs, Word files, scans, and emails securely, in whatever format they arrive.
Extract
Use OCR and AI to pull text, tables, fields, and key terms from the document.
Classify
Detect document type, sender or vendor, sections, and the fields that matter.
Normalize
Standardize formats, units, currency, and field mappings into one schema.
Validate
Check extracted data against business rules, flag exceptions, score confidence
Consume
Deliver recommendations, dashboards, exports, and a full audit trail for the decision.
Platform Framework
Seven building blocks sit underneath every deployment, from the first use case to day-to-day operations.
Use Case & KPI Model
Business goals, document workflows, success metrics, SLA and adoption targets.
Document Intake & Data Layer
Multi-format input, metadata tagging, secure upload and storage
Extraction & Classification
OCR and table extraction, document type detection, field identification.
Normalization & Data Quality
Standard schema mapping, unit/currency normalization, exception handling.
Validation & Decisioning
Rule-based checks, confidence scoring, risk flags, explainable outcomes.
Security Baseline
IAM roles, encryption, secrets management, and a complete audit trail.
Operations & Observability
Central logs, metrics, alerts, incident handling, backup and DR readiness.
Key Capabilities
Document classification
OCR-based document digitization
Data extraction from structured and unstructured documents
Invoice, form, contract, and KYC processing
Validation and exception handling
Human-in-the-loop review
Integration with ERP, CRM, DMS, and business applications
Processing dashboard and reporting
Audit trail and compliance support
Example Use Cases
Invoice Processing
Purchase Orders
KYC Verification
Insurance Claims
Contract Extraction
HR Onboarding
Banking Documents
How We Deliver It
Discover & Baseline
Kickoff, sample documents collected, KPIs and success criteria defined.
Design Foundation
Architecture, data model, security design, and technology choices finalized.
Build & Pilot
Pipeline implemented end to end, dashboard built, pilot run, feedback collected.
Scale & Operate
Load and security testing, CI/CD, monitoring, retraining plan, runbooks, go-live.
Typical Deliverables
IDP platform architecture
Document processing workflow
OCR and extraction model configuration
Validation and exception workflow
Integration design
Reporting dashboard
User training and handover
Business Benefits
Reduced Manual Data Entry
Extraction and validation replace repetitive re-keying.
Faster Document Processing
Documents move from intake to decision in a fraction of the time.
Improved Accuracy
AI-based validation and exception handling catch what manual review misses.
Reduced Operational Cost
Less manual effort per document, at any volume.
Better Auditability
Every document, decision, and exception is logged and traceable.
Faster Turnaround Time
Downstream approvals and payments move without waiting on manual review.
Atlassian Platinum Solution Partner