Cognic Systems

DOCUMENT INTELLIGENCE • DOCUMENT AUTOMATION • AI OCR

Turn Business Documents Into Actionable Data

Cognic uses AI to read, classify, extract, validate and process information from business documents, then connect the results to your existing workflows and systems.

PDF PDF
INV Invoice
CTR Contract
LEA Lease
FRM Form
STM Statement
REP Report

AI
COGNIC DOCUMENT AI
CLASSIFY • EXTRACT • VALIDATE • UNDERSTAND
STRUCTURED DATA
Vendor Date Amount Status
WORKFLOW AUTOMATION
CRM / ERP / ACCOUNTING / DATABASE
SAPsalesforceqb
Document Intelligence
AI OCR
Data Extraction
Document Classification
Validation
Workflow Automation
Human Review
Documents in. Action out.
INVOICES#INV-8492
CONTRACTSMSA • SOW
LEASESCOMMERCIAL
FORMSW-9 • ACORD
REPORTSFINANCIAL
THE DOCUMENT PROBLEM

Important Business Data Is Often Trapped Inside Documents

Invoices, contracts, leases, forms, reports, statements and other documents contain information teams need to process every day. Manual document handling creates repetitive data entry, slow processing, inconsistent extraction and unnecessary workflow delays.

01
Manual Data Entry

Employees repeatedly enter information from documents into business systems.

02
Unstructured Information

Important data exists in different layouts, formats and document types.

03
Slow Processing

Documents often wait in inboxes, shared folders, or manual review queues.

04
Disconnected Workflows

Extracted information still needs to move into CRM, ERP, accounting or internal systems.

WHAT WE BUILD

Document AI Designed Around Your Business Process

01
Document Classification

Identify document types and route them to the appropriate workflow.

Examples: Invoices, Contracts, Leases, Applications, Statements, Forms.
02
Data Extraction

Extract structured information from documents using AI.

Examples: Names, Dates, Amounts, Addresses, Account Numbers, Line Items.
03
Document Validation

Check extracted information against rules, reference data and business requirements.

Examples: Vendor verification, math checksums, PO matching, syntax validation.
04
Document Summarization

Generate structured summaries from long documents for defined business workflows.

Examples: Contract executive summaries, key terms, risk clause flags.
05
Document Workflow Automation

Move extracted and validated information into downstream business processes.

Examples: ERP updates, CRM record sync, automated accounting ingestion.
06
Human Review Workflows

Route uncertain or exception cases to a person for review before continuing the workflow.

Examples: Low-confidence flags, high-value invoice approvals, dispute triage.
HOW IT WORKS

From Document to Completed Business Workflow

01 INGEST

Receive from Email, Upload, API, Cloud Storage or Business System.

02 READ

OCR and document understanding process the document.

03 CLASSIFY

Identify document type and relevant workflow.

04 EXTRACT

Extract required fields and structured information.

05 VALIDATE

Check extracted info against rules and reference data.

06 REVIEW

Send uncertain or exception cases for human review.

07 AUTOMATE

Trigger the next business workflow.

08 UPDATE

Write approved info into the business system.

09 AUDIT

Record workflow events and processing info.

DOCUMENT TYPES

Process the Documents Your Business Already Uses

Invoices

Extract vendor info, invoice numbers, dates, amounts, tax info and line items.

Contracts

Extract important contract information and organize data for review.

Leases

Extract property, tenant, term, payment and other defined information.

Applications

Process application forms and extract relevant fields.

Financial Statements

Extract structured financial information from statements and reports.

Insurance Documents

Process defined policy, claim and supporting documents.

Business Forms

Extract information from standardized and semi-structured forms.

Reports & Statements

Convert relevant information from reports into structured data.

The system is configurable around your specific document types and extraction requirements.

KEY BENEFITS

Real Results for Your Business

Faster Processing

Extract document processing time from hours to minutes.

Lower Operational Costs

Eliminate repetitive data entry and manual effort.

Higher Accuracy

Reduce errors with AI extraction and validation.

Greater Productivity

Free up your team to focus on higher-value work.

Cognic Systems helped us automate our invoice processing. What used to take days now happens in minutes, with higher accuracy.
MR
Michael R.
CFO, Manufacturing Company
FREQUENTLY ASKED QUESTIONS

Document Automation & AI FAQs

Everything you need to know about implementing Document AI in your enterprise.

What is Document AI and Intelligent Document Processing (IDP)?
Document AI combines Optical Character Recognition (OCR), Natural Language Processing (NLP), and Large Language Models (LLMs) to automatically read, classify, extract, validate, and process unstructured information from documents into structured business data.
How accurate is AI document extraction?
With modern vision-language models and automated rule validation (such as PO matching, mathematical checksums, and reference lookups), Cognic achieves 99%+ accuracy for standard and semi-structured documents, with confidence scores for human-in-the-loop review.
What document types can Cognic automate?
Cognic can automate invoices, purchase orders, contracts, commercial leases, insurance claims, medical records, financial statements, loan applications, tax forms, compliance documents, and custom multi-page reports in PDF, TIFF, PNG, DOCX, and scanned formats.
How does Cognic handle unstructured or variable layout documents?
Unlike legacy template-based OCR which breaks when layouts change, Cognic uses LLM-powered semantic extraction that understands context, headers, and semantic relationships, allowing it to extract data accurately even from brand new formats without retraining.
Can human review and exception handling be integrated?
Yes. We design configurable confidence thresholds. When a field confidence is below your defined tolerance or a business validation rule fails, the document is routed to an intuitive human-in-the-loop review queue before updating downstream systems.
How does Document AI integrate with existing ERP, CRM, and databases?
We build native bidirectional integrations via REST APIs, webhooks, RPA, or database connectors into SAP, Salesforce, QuickBooks, NetSuite, Microsoft Dynamics 365, HubSpot, PostgreSQL, Oracle, and proprietary in-house business software.
Is our confidential business data secure and compliant?
Yes. Enterprise security and data privacy are built into our architecture. All data is encrypted in transit (TLS 1.3) and at rest (AES-256), with support for HIPAA, GDPR, SOC 2, and private VPC or on-premise model deployments where data is never used for training.
How long does it take to implement a Document AI solution?
A production pilot for standard document workflows (such as invoice or contract extraction) is typically delivered within 2 to 4 weeks, with full enterprise rollouts and systems integrations completed within 4 to 8 weeks.

Ready to Automate Your Documents?

Let’s discuss your use case and show you what’s possible.

Book a Free Consultation →