Cognic Systems

DOCUMENT AI • OCR • EXTRACTION • AUTOMATION

Turn Business Documents Into Structured Data

Cognic uses Document AI to extract, classify, validate, and process information from business documents, then connect the extracted data to your applications and workflows.

Document Extraction Document Classification OCR Data Validation Document Automation AI Processing Human Review Workflow Integration
Business Documents
Invoices
Contracts
Forms
Applications
Reports
Statements
Cognic Document AI
OCR
Classification
Extraction
Validation
AI Processing
Human Review
Business Systems
CRM
ERP
Accounting
Database
Workflow
BI / Analytics
Structured Business Data
Ready for Your Applications • Workflows • Reporting
THE DOCUMENT CHALLENGE

Your Business Documents Contain Data. Your Systems Need Structure.

Businesses receive information through PDFs, scanned documents, forms, invoices, contracts, statements, reports, and other files. Teams often spend time reading documents, entering information, checking fields, and moving data between systems.

01

Manual Data Entry

Employees read documents and enter information into business systems.

02

Unstructured Information

Important information exists inside PDFs, scans, forms, tables, and free-text documents.

03

Document Variation

Documents from different sources often use different layouts and formats.

04

Validation Work

Extracted data needs checks and validation before it can be used.

05

Disconnected Workflows

Document processing often requires multiple manual steps across teams and applications.

DOCUMENT AI CAPABILITIES

From Documents to Actionable Business Data

Cognic builds intelligent document processing solutions that go beyond OCR — combining AI extraction, classification, validation, and workflow automation.

01

Document Extraction

Extract text, tables, fields, entities, and relevant information from documents.

Explore →
02

Document Classification

Identify document types and route documents to the correct workflow.

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03

Data Validation

Apply business rules and validation checks to extracted information.

Explore →
04

Document Summarization

Create structured summaries from supported documents.

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05

Document Search

Make approved document collections easier to search and query.

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06

Workflow Automation

Send extracted information into applications, databases, approval processes, and business workflows.

Explore →
HOW DOCUMENT AI WORKS

From Uploaded Document to Completed Workflow

Intelligent document processing combines OCR, classification, AI extraction, validation, human review, and system integration in one structured pipeline.

01
Document Received

PDF, Scan, Image, Email Attachment, Upload, API

02
OCR / Processing

Convert supported document content into machine-readable information.

03
Classification

Identify the document type and route to the correct workflow.

04
AI Extraction

Extract relevant fields, entities, tables, and content.

05
Validation

Apply business rules and confidence checks to ensure accuracy.

06
Human Review

Route uncertain or sensitive results to a reviewer when required.

07
System Action

Send approved information into systems and workflows.

DOCUMENT TYPES

Process the Documents Your Business Works With

Extraction models are designed around your specific document types, layouts, and fields — performance depends on document quality and structure, which Cognic assesses during discovery.

Invoices

Extract invoice numbers, dates, suppliers, line items, taxes, totals, and other required fields.

Contracts

Extract parties, dates, clauses, obligations, and defined business information.

Applications

Process structured and semi-structured application forms.

Bank Statements

Extract transactions, balances, dates, and other required information.

Reports

Extract structured information from operational and business reports.

Receipts

Process transaction information and expense-related fields.

Forms

Extract fields from digital or scanned forms and questionnaires.

Custom Documents

Build extraction workflows around your business-specific document formats.

INTELLIGENT DOCUMENT PROCESSING

Combine AI Extraction With Business Rules

Document AI becomes more useful when extracted information passes through validation, business rules, and appropriate review before reaching downstream systems.

Document AI Extraction Field Validation Business Rules Confidence Check Human Review If Required Approval System Update

Field Validation

Check extracted values against defined requirements and formats.

Business Rules

Apply organization-specific rules to document information.

Confidence Review

Route uncertain results for review based on defined thresholds.

Exception Handling

Send incomplete or inconsistent documents to the appropriate workflow.

DOCUMENT AI + AUTOMATION

Move From Document Processing to Workflow Automation

Document AI delivers the most value when extraction connects directly to automated workflows — instead of ending at a spreadsheet.

Before
Email Received
Employee Opens Document
Reads Information
Copies Data
Updates System
Sends Email
Files Document
After
Document Received
Document AI
Extraction
Validation
Workflow
System Update
Notification & Audit Record
DOCUMENT AI + RAG

Turn Document Collections Into Searchable Business Knowledge

Cognic combines Document AI with RAG when businesses need to extract information from documents and make approved knowledge available for search and AI-assisted interaction — with access controls and source references. AI answers are grounded in approved sources but should be verified for critical decisions.

Document Collection Processing Chunking / Structuring Embeddings / Indexing RAG AI Assistant User Question Answer With Source Information

Document Search

Search approved document collections using natural language.

Knowledge Assistants

Help employees retrieve relevant information from approved documents.

Document Q&A

Allow users to ask questions about supported document collections.

DOCUMENT AI + AI AGENTS

Let AI Agents Work With Business Documents

AI agents operate within defined permissions, workflows, and review controls — handling defined document tasks while people stay in control of important decisions.

Document Received Document AI AI Agent Business Rules Approved System Human Review When Required

Invoice Agent

Extract invoice information and route defined approval workflows.

Contract Agent

Identify specified contract information and send results to an approved workflow.

Application Agent

Process application documents and route extracted information.

Reporting Agent

Extract structured information from recurring reports and prepare approved outputs.

BUSINESS USE CASES

Where Document AI Creates Value

Document AI supports document-heavy workflows across finance, insurance, healthcare, real estate, legal, and operations.

Finance

Invoice processing, expense documents, statements, and financial records.

Explore Financial Services →

Insurance

Claims documents, policy documents, applications, and supporting records.

Explore Insurance →

Healthcare

Administrative forms, records, documents, and workflow processing.

Explore Healthcare →

Real Estate

Lease documents, property records, applications, invoices, and operational documents.

Explore Real Estate →

Legal

Contracts, case documents, forms, and structured information extraction.

Operations

Reports, forms, work orders, applications, and operational documentation.

Explore Manufacturing →
DOCUMENT AI FOR FINANCE

Automate Invoice and Financial Document Processing

Invoice automation is one of the most common Document AI use cases — extracting supplier, line-item, tax, and total information and connecting it to approval workflows and accounting systems.

Invoice
OCR / Document AI
Supplier Identification
Field Extraction
Line Item Extraction
Tax / Total Validation
Approval Workflow
Accounting System
Document AI Dashboard Example View
1,248
Documents Processed
23
Awaiting Review
1,180
Approved
45
Exceptions
96.4%
Processing Status
Invoice #INV-2041 — Extracted & Validated
Invoice #INV-2042 — Sent to Approval
Invoice #INV-2043 — Flagged for Review
Invoice #INV-2044 — Posted to Accounting

Illustrative example data — not actual customer results.

DOCUMENT AI FOR INSURANCE

Process Claims and Policy Documents Faster

Insurance teams handle high volumes of claims documents, policy paperwork, applications, and supporting records. Document AI classifies, extracts, and routes this information into claims workflows with validation and review controls.

Claim Documents
Classification
Extraction
Policy / Claim Data
Validation
Review
Claims Workflow

Claims Documents

Extract and route information from claims submissions.

Policy Documents

Process policy paperwork and related records.

Application Forms

Process structured and semi-structured applications.

Supporting Documents

Handle receipts, reports, and supporting records.

DOCUMENT AI FOR HEALTHCARE

Automate Document Workflows Across Healthcare Operations

Document AI helps healthcare organizations process defined administrative and operational documents while applying appropriate access controls, validation, and human review. Controls are designed around each implementation's compliance requirements.

Forms

Extract fields from administrative and intake forms.

Administrative Documents

Process administrative paperwork and operational records.

Applications

Process application documents and route extracted information.

Reports

Extract structured information from operational reports.

Invoices

Process supplier invoices and financial documents.

Operational Records

Organize and route operational documentation.

INTEGRATION

Connect Document AI to the Systems You Already Use

Extracted information only creates value when it reaches your systems. Cognic connects document processing to your existing applications and workflows.

Document AI
API / WORKFLOW / RPA
CRM
ERP
Accounting
Database
DMS
Custom Software
BI
Workflow

API Integration

Send extracted information to approved systems through APIs.

Database Integration

Store structured document data for downstream applications and reporting.

Workflow Integration

Trigger defined workflows after document processing.

Explore Workflow Automation →

BI Integration

Use structured document data for reporting and analytics.

Explore Data & BI →
HUMAN-IN-THE-LOOP

Keep People in Control of Important Decisions

Document AI should automate repetitive processing while giving people the ability to review exceptions, uncertain results, or sensitive decisions. AI processing routes high-confidence results to automated workflows; low-confidence or sensitive results go to human review.

AI Processing → High Confidence
Automated Workflow
System Update
Audit Record
AI Processing → Low Confidence
Human Review
Approval / Correction
System Update

Review Queue

Send selected documents or fields to reviewers.

Correction

Allow reviewers to correct extracted information.

Audit Trail

Maintain appropriate processing and review records based on project requirements.

DOCUMENT AI TECHNOLOGY

A Document Processing Architecture Built Around Your Workflow

Six layers connect document sources to business systems — with AI, validation, and human review in the middle.

LAYER 01 Document Sources EmailUploadAPICloud StorageScanners
LAYER 02 Document Processing OCRParsingPreprocessing
LAYER 03 AI ClassificationExtractionSummarization
LAYER 04 Validation Business RulesConfidence ChecksHuman Review
LAYER 05 Integration APIsRPAWorkflow Automation
LAYER 06 Business Systems CRMERPAccountingDatabaseBICustom Applications
BUSINESS OUTCOMES

What Document AI Helps Your Team Do

The value of Document AI comes from fitting your documents, rules, and workflows — not from generic claims.

Reduce Manual Data Entry

Automate repetitive document reading and data entry tasks.

Process Documents Consistently

Apply structured processing rules across defined document workflows.

Improve Data Access

Turn document information into structured business data.

Connect Documents to Workflows

Move extracted information into downstream processes and applications.

Focus People on Exceptions

Route selected documents and fields for human review instead of reviewing everything manually.

WHY COGNIC

Document AI Built for Business Workflows

Cognic is a document intelligence and workflow automation partner — not an OCR-only vendor. Extraction is designed around what happens after the data is extracted.

AI + Automation

Combine document intelligence with workflow automation and system integration.

Business-Specific Extraction

Design extraction around the fields and information your business needs.

Integration-First

Connect document processing to existing applications and systems.

Human-in-the-Loop

Keep review controls where business requirements demand them.

KEY CONCEPTS

Understanding Document AI

What Is Document AI?

Document AI uses artificial intelligence, OCR, machine learning, and document processing techniques to extract and organize information from documents so businesses can use the information in applications and workflows.

What Is Intelligent Document Processing?

Intelligent Document Processing combines document ingestion, OCR, classification, data extraction, validation, and workflow automation to process business documents with less manual effort.

How Does Document AI Work?

Document AI typically receives a document, processes its content, identifies the document type, extracts relevant information, validates the extracted data, routes exceptions for review, and sends approved information to a business system or workflow.

What Documents Can Document AI Process?

Document AI solutions support defined document types such as invoices, contracts, forms, applications, statements, reports, receipts, and other structured or semi-structured business documents.

What Is the Difference Between OCR and Document AI?

OCR converts text from images or scanned documents into machine-readable text. Document AI goes further by identifying document types, extracting specific fields, understanding document structure, applying validation, and connecting the information to business workflows.

Can Document AI Connect With Business Systems?

Document AI can connect with business applications through APIs, databases, workflow automation, RPA, and other approved integration methods.

Document AI Solutions From Cognic

Cognic Systems provides Document AI solutions for businesses that need to extract, classify, validate, and process information from invoices, contracts, forms, applications, reports, statements, and other documents. Cognic connects Document AI with business workflows, APIs, databases, RAG, AI agents, analytics, and custom applications.

DOCUMENT AI FAQ

Document AI & Intelligent Document Processing FAQs

What is Document AI?
Document AI uses artificial intelligence, OCR, machine learning, and document processing techniques to extract and organize information from documents so businesses can use it in applications and workflows.
What is intelligent document processing?
Intelligent Document Processing (IDP) combines document ingestion, OCR, classification, data extraction, validation, and workflow automation to process business documents with less manual effort.
How does Document AI work?
Document AI receives a document, processes its content, identifies the document type, extracts relevant information, validates the extracted data, routes exceptions for review, and sends approved information to a business system or workflow.
What is the difference between OCR and Document AI?
OCR converts text from images or scans into machine-readable text. Document AI goes further: it identifies document types, extracts specific fields, understands document structure, applies validation, and connects the information to business workflows.
What types of documents can Document AI process?
Defined document types such as invoices, contracts, forms, applications, statements, reports, receipts, and other structured or semi-structured business documents. Suitability is assessed per document type during discovery.
Can Document AI extract data from PDFs?
Yes. Document AI processes digital PDFs as well as scanned documents, extracting fields, tables, and structured information.
Can Document AI process scanned documents?
Yes. OCR converts scanned document content into machine-readable text, which is then classified and processed. Results depend on scan quality.
Can Document AI extract tables from documents?
Yes. Table extraction is supported for defined document types, including line items on invoices and structured tables in reports and statements.
Can Document AI classify documents?
Yes. Document classification identifies the document type and routes each document to the correct processing workflow.
Can Document AI validate extracted information?
Yes. Validation applies business rules, format checks, and confidence thresholds to extracted data before it reaches downstream systems.
Can Document AI connect with ERP and CRM systems?
Yes. Extracted information can be sent to ERP, CRM, accounting, database, and custom applications through APIs, databases, workflow automation, and RPA.
Can Document AI automate invoice processing?
Yes. Invoice automation extracts supplier, line-item, tax, and total information, validates it against business rules, and routes it into approval workflows and accounting systems.
Can Document AI process contracts?
Yes. Contract processing extracts parties, dates, clauses, obligations, and other defined information, with validation and review where required.
Can Document AI support human review?
Yes. Human-in-the-loop review lets people verify uncertain or sensitive results through review queues, corrections, and approval steps.
Can Document AI work with RAG?
Yes. Document AI prepares document content for RAG, enabling natural-language search and AI-assisted Q&A over approved document collections. See Generative AI & RAG.
Can Document AI work with AI agents?
Yes. AI agents can use Document AI to handle defined document tasks within defined permissions, workflows, and review controls.
How accurate is Document AI?
Accuracy depends on document quality, document types, extraction requirements, models, validation rules, and workflow design. Cognic assesses your documents during discovery and designs validation and review controls accordingly, rather than promising a fixed accuracy percentage.
How long does a Document AI implementation take?
Timelines depend on document variety, integrations, and workflow complexity. A typical engagement starts with a discovery phase followed by phased delivery — scoped after understanding your requirements.
TURN DOCUMENTS INTO BUSINESS DATA

Ready to Automate Your Document Workflows?

Tell us which documents your team processes and what happens after the information is extracted. Cognic will help define the right Document AI, validation, integration, and workflow approach.