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Turn Documents Into Structured Data, Without the Manual Work

Extract, validate, and route information from invoices, contracts, claims, forms, and other business documents using AI. Built for your document formats, your business rules, and your existing systems.

Tell Us What Documents You Process

We'll identify what can be automated.

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Less manual data entry. Faster processing. Better visibility. More capacity without increasing administrative workload.

Your Team Shouldn't Be Copying Data From Documents

If your business processes hundreds or thousands of invoices, contracts, claims, forms, or other documents every month, manual processing quickly becomes a bottleneck. Employees have to open each document, find the relevant information, enter it into your systems, verify the data, and route it to the right person or workflow.

As volume grows, so does the cost — more processing time, more repetitive work, more opportunities for data-entry errors, and more pressure to hire additional people just to keep up.

AI document processing removes much of that manual workload.

Document
→
AI extraction
→
Validation
→
Human review when needed
→
Your business system
What Is Intelligent Document Processing?

Go beyond OCR. Turn unstructured documents into usable business data.

Traditional OCR can convert text from a document into digital text. But most businesses need much more than that.

Intelligent document processing combines document understanding, AI data extraction, classification, validation, and workflow automation to turn documents into structured information your business systems can actually use.

Less manual data entry. Faster processing. Better visibility. More capacity without increasing administrative workload at the same rate.

Book a Free AI Document Consultation →
Team reviewing AI document processing workflow

What Documents Can We Process?

Built around your documents, not a predefined template.

Real businesses rarely receive documents in one standardized format. Different suppliers use different invoices. Customers submit different forms. Contracts have different structures. Claims arrive with different supporting documents. Our intelligent document processing solutions can be designed around these variations.

Invoices

Extract vendor details, invoice numbers, dates, line items, taxes, totals, purchase orders, payment terms, and other required fields.

Use caseAutomate invoice processing and reduce manual accounts-payable data entry.

Contracts

Identify parties, dates, renewal terms, payment conditions, obligations, clauses, and other information relevant to your workflow.

Use caseTurn large volumes of contracts into searchable, structured information.

Claims

Extract information from claims and supporting documents, classify submissions, identify missing information, and route cases according to your workflow.

Use caseProcess higher claim volumes without increasing manual review at the same rate.

Forms & Applications

Process applications, registrations, onboarding forms, government forms, internal forms, and other structured or semi-structured documents.

Use caseConvert submitted forms into structured data and automatically route them into downstream systems.

Statements, Reports & Other Documents

Extract relevant information from statements, reports, PDFs, scanned documents, and custom business documents.

Use caseReduce the time employees spend reading documents and manually transferring information into other systems.

Accuracy That You Can Actually Measure

Don't rely on a generic "AI accuracy" claim. For document processing, overall accuracy can be misleading. A system might correctly identify a document while extracting an important financial field incorrectly. That's why we recommend benchmarking the specific documents and fields that matter to your business. We can measure:

Document classification accuracy
How reliably the system identifies whether a document is an invoice, claim, contract, form, or another document type.
Field extraction accuracy
How often the required fields are extracted correctly.
Validation accuracy
How reliably the system identifies missing, inconsistent, or incorrect information.
Straight-through processing rate
What percentage of documents can move through the workflow without human intervention.
Exception rate
What percentage of documents need human review.
Human-in-the-Loop Review

Automate the predictable. Escalate the uncertain.

You don't need AI to make every decision automatically.

In fact, for many business-critical workflows, the better approach is to combine automation with human review.

The system can automatically process documents when extraction and validation meet your required confidence threshold. Documents with missing information, conflicting values, poor image quality, or low-confidence fields can instead be routed to a human reviewer.

1
Document received
2
AI identifies document type
3
AI extracts required information
4
Business rules validate the data
5
High confidence: Continue automatically
Low confidence: Send for human review
6
Approved data moves into the business workflow

Connect Document Processing to Your Existing Systems

Extraction is only valuable when the data reaches where your business needs it. We can integrate intelligent document processing with the systems already used by your teams, including:

ERP systems Accounting platforms CRM systems Claims platforms Document management systems Databases Data warehouses Internal applications Workflow platforms Custom APIs
Example workflow
Invoice received
→
AI document processing
→
Extract invoice fields
→
Validate against purchase order
→
Identify exceptions
→
Route for approval
→
Update ERP
→
Store processed document

The objective isn't simply to read the document. It's to automate the workflow around it.

How We Implement Intelligent Document Processing

Start with your real documents, not a generic demo. We work through discovery, extraction logic, benchmarking, and integration before anything goes live.

01

Understand the workflow

We look at what happens today: where documents arrive, who processes them, what information is required, what checks are performed, and where the data ultimately goes.

02

Analyze your documents

We review representative samples to understand formats, variations, tables, fields, scans, and edge cases.

03

Define the extraction and validation logic

We identify which information needs to be extracted, what rules need to be applied, and which cases require human review.

04

Benchmark performance

We test the workflow against representative documents and measure extraction, classification, validation, and straight-through processing performance.

05

Integrate with your systems

The processed information is connected to the ERP, CRM, accounting platform, database, or other system that needs it.

06

Deploy and monitor

The workflow moves into production with monitoring, exception handling, and ongoing evaluation.

07

Expand

Once the first document workflow proves its value, additional document types and processes can be added.

Security & Control

Business documents can contain sensitive financial, customer, legal, and operational information. The architecture can therefore be designed around your security and access requirements.

Controlled access

Only the systems and data required for the workflow are exposed.

Validation rules

Extracted information can be checked before it enters downstream systems.

Human approval

Sensitive or uncertain cases can require human review.

Auditability

Important processing events and actions can be logged for operational visibility.

Data protection

The implementation can be designed around your infrastructure, security policies, and applicable compliance requirements.

The goal is reliable automation with appropriate controls — not blind automation.

Why Gigaflop TechLab?

We build around the document workflow — not just the AI model.

Book a Free AI Document Consultation →
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With Gigaflop, you get:

  • Custom formats — we design around the documents your business actually receives
  • Accuracy-focused — we benchmark against real documents and the fields that matter to your process
  • Workflow-first — extraction is connected to validation, routing, approvals, and downstream actions
  • Human-in-the-loop — uncertain or sensitive cases can be routed to people
  • Integration-ready — processed information can be connected to your existing business systems
  • ROI-focused — success is measured by processing time, automation rate, capacity, and cost — not just an AI demo

Is AI Document Processing Right for Your Business?

It may be a strong candidate if your team:

Processes hundreds or thousands of documents every month
Manually enters data from PDFs, scans, or forms
Spends significant time processing invoices
Reviews large volumes of claims or applications
Needs to extract information from contracts
Uses multiple document formats
Has tried OCR but still requires significant manual correction
Wants to increase document-processing capacity without proportional hiring
Needs document data to flow automatically into existing systems

If several of these apply, your document workflow may be a strong candidate for automation.

Frequently asked
questions.

Q.01What is AI document processing?
+
AI document processing uses artificial intelligence to understand documents, extract relevant information, classify documents, validate data, and automate the workflows that follow.
Q.02What is intelligent document processing?
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Intelligent document processing, or IDP, combines OCR, AI-based document understanding, data extraction, classification, validation, and workflow automation. It goes beyond simply converting a document into text.
Q.03What is AI invoice processing?
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AI invoice processing uses AI to extract relevant invoice information such as vendor details, invoice numbers, line items, taxes, totals, and purchase orders, and can connect that information to accounting or ERP workflows.
Q.04Can you process custom document formats?
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Yes. Custom document formats are one of the areas where a tailored intelligent document processing solution can provide value, particularly when documents vary between suppliers, customers, branches, or business units.
Q.05Can AI process scanned documents?
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Yes, depending on scan quality and document characteristics. Scanned documents can be processed using OCR and AI-based document understanding, with low-confidence results routed for human review.
Q.06Can AI extract data from PDFs?
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Yes. AI data extraction can identify and structure relevant information from PDFs, including text, tables, forms, and other document elements.
Q.07What happens when the AI isn't confident?
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The workflow can use confidence thresholds and validation rules to identify uncertain results. Those documents or fields can then be sent to a human reviewer instead of being processed automatically.
Q.08Can the extracted data go into our ERP or CRM?
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Yes, provided the relevant system supports the required integration. Document processing workflows can be connected to APIs, databases, ERP systems, CRM systems, accounting platforms, and custom applications.
Q.09How accurate is AI document processing?
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Accuracy depends on the document type, quality, field complexity, model, and workflow design. Rather than relying on a generic number, we recommend testing the system against representative documents from your actual business and measuring field-level extraction accuracy, classification accuracy, validation accuracy, and straight-through processing rate.
Q.10How many documents can an AI document processing system handle?
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The achievable throughput depends on document complexity, processing architecture, infrastructure, integrations, and required processing times. The system can be designed around your monthly volume and peak processing requirements.

Still processing documents manually? Let's see what you can automate.

Tell us what types of documents you process, approximately how many you handle each month, and what your team currently does with them.

Book a Free AI Document Consultation →
We'll help you identify
What can be extracted
↓
What can be validated
↓
What can be automated
↓
What needs human review
↓
Where the data should go
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