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Aygentix

Intelligent Document Processing Stop retyping documents. Let AI read them for you.

We build document AI that captures data from invoices, bills of lading, contracts and claims, whether they arrive as PDFs, scans, photos or email attachments. The data is checked against your rules and posted into your ERP, accounting or claims system. Your team only reviews the exceptions.

Who intelligent document processing is for

  • Finance and accounts payable/receivable teams handling high invoice volumes
  • Logistics and distribution companies processing bills of lading, delivery notes and customs paperwork
  • Healthcare and insurance teams handling claim forms and medical documents
  • Legal, procurement and operations teams reviewing contracts and forms

Problems document AI solves

ProblemStaff retype data from PDFs and scans
What changes with document AIData is extracted automatically, field by field, including tables and line items
ProblemTypos cause payment and shipping errors
What changes with document AIEvery field is validated against your rules, purchase orders and master data
ProblemDocuments arrive in dozens of layouts
What changes with document AIAI handles new layouts without a template for each vendor or form
ProblemBacklogs grow at month-end and peak season
What changes with document AIProcessing scales with volume, without overtime or temporary staff

What our document AI includes

  • Document intake from email inboxes, shared folders, scanners, portals and APIs
  • Classification that sorts each document by type, such as invoice, credit note, bill of lading, contract or claim
  • Data extraction of header fields, tables and line items using OCR and AI models
  • Validation rules such as three-way PO matching, duplicate checks, totals and tax checks
  • Human review screen where staff check low-confidence fields side by side with the original
  • System integration that posts approved data into your ERP, accounting, TMS or claims platform

How intelligent document processing works

  1. Collect samples.

    We gather a representative set of your documents and the fields you need.

  2. Configure and train.

    We set up extraction and validation for your document types and rules.

  3. Connect.

    We connect intake channels and the target system where the data should land.

  4. Pilot.

    We run real documents through the pipeline and measure accuracy with your team.

  5. Go live and improve.

    Corrections from reviewers feed back into the system so accuracy keeps improving.

Document processing use cases

Example scenarios, not client projects.

  • Distributor: accounts payable automation.

    Supplier invoices arriving by email are read, matched to purchase orders and goods receipts, and posted to the ERP. Only mismatches go to the AP team.

  • Logistics company: bills of lading.

    Bills of lading from scans and photos go straight into the transport management system, with no retyping.

    Read the full example →
  • Health insurer or provider: claims intake.

    Claim packets are sorted and their data captured automatically, with HIPAA-aligned handling of patient information.

    Read the full example →

Document AI tech stack

OCR and document AI
leading cloud document AI services or private, self-hosted OCR models
AI models
LLMs for complex layouts, free-text fields and contract clauses
Workflow
validation rules engine, review queue and audit trail
Integrations
your ERP, accounting, transport management or claims system, through APIs, databases or secure file exchange
Hosting
AWS, Microsoft Azure, Google Cloud, a private cloud or on-premises

Document processing engagement models

  • Build

    We build and run your document pipeline end to end, from intake to posting.

  • Consult

    We assess your document volumes and types, then design the right IDP architecture.

  • Staff

    Our document AI and integration engineers join your team to build it with you.

Intelligent document processing FAQs

How accurate is document AI?

Accuracy depends on document quality and type, so we measure it on your own documents during the pilot. Low-confidence fields always go to a person, so errors are caught before they reach your systems.

Do we need a template for every vendor?

No. Modern document AI understands layouts it hasn't seen before. We only add specific rules where your process needs them.

Can it handle handwriting and poor scans?

It handles most printed text and many handwritten fields. Very poor scans are flagged for review rather than guessed.

Is it safe for medical and financial documents?

Yes. We support HIPAA-aligned handling for healthcare data, encryption in transit and at rest, role-based access and private deployment.

Where does the data go after extraction?

Wherever you need it: your ERP, accounting software, claims platform, a database or a spreadsheet export.

What happens next

  1. Book a call.

    A free 30-minute conversation about your documents and volumes.

  2. Free assessment.

    Share a few sample documents and we'll show you what can be automated.

  3. Proposal.

    A clear scope, timeline and price, starting with a pilot.

See your own documents processed by AI

Send us a handful of sample documents on a free call, and we'll show you what document AI can extract and where it can save your team time.