AI Document Intelligence That Reads Your Paperwork for You

Invoices, forms, contracts and statements, read in seconds. We build document processing that pulls out the data you need, checks it against your rules and only asks a person when it isn't sure.

Supplier invoiceClassified
Supplier
Northwind Ltd
Confidence 99%
Invoice no.
INV-20931
Confidence 99%
Invoice date
12 Sep 2026
Confidence 98%
PO number
PO-4471
Confidence 97%
Line items
6, all match PO
Confidence 95%
Total
12,480.00
Confidence 72%

Total doesn't match the line items. Sent to finance for a quick check.

ExampleEvery field comes with a confidence score

How it works

From a Pile of Documents to Clean, Checked Data

Document intelligence does what a careful person does with every file that lands on their desk, only faster and without getting tired. Every document goes through the same five stages.

  1. 1

    Capture

    Documents arrive from email, scanners, uploads, shared folders or your apps, in PDF, image or Office formats.

  2. 2

    Classify

    Each document is recognised by type, such as an invoice, a delivery note or a contract, and split if several arrive in one file.

  3. 3

    Extract

    The fields and tables you need are pulled out, including handwriting, stamps and tables that run over several pages.

  4. 4

    Validate

    Values are checked against your rules and records: totals add up, tax numbers are valid, the PO exists and matches.

  5. 5

    Deliver

    Clean data goes to your ERP, CRM or database, and anything uncertain goes to a person with the problem highlighted.

Documents we handle

Documents We Process, and the Data We Pull Out

If your team reads it and types something into a system, it is probably a candidate. These are the documents we are asked about most.

Invoices & bills

Typical fields

  • Supplier
  • Tax / GST number
  • Line items
  • Totals & tax

Purchase orders & delivery notes

Typical fields

  • PO number
  • Items & quantities
  • Delivery date
  • Signatures

Bank statements

Typical fields

  • Account details
  • Transactions
  • Opening & closing balance

Contracts & agreements

Typical fields

  • Parties
  • Dates & renewals
  • Payment terms
  • Unusual clauses

KYC & identity documents

Typical fields

  • Name & address
  • ID numbers
  • Expiry dates
  • Photo match

Insurance claims

Typical fields

  • Policy number
  • Claim details
  • Amounts
  • Supporting documents

Shipping & customs documents

Typical fields

  • Bill of lading
  • Packing list
  • HS codes
  • Consignee

Application & HR forms

Typical fields

  • Applicant details
  • Checkboxes
  • Handwritten answers
  • Attachments

Beyond OCR

Why Template-Based OCR Isn't Enough

Many businesses already tried OCR and gave up when every new supplier layout needed another template. AI reads documents by understanding them, not by knowing where a box sits on the page.

New supplier or layout
Template-based OCR: Needs a new template set up by hand
AI: Usually works from the first document
Scans, photos and handwriting
Template-based OCR: Accuracy drops quickly
AI: Reads most real-world quality
Tables across several pages
Template-based OCR: Often split or missed
AI: Read as one table
Understanding meaning
Template-based OCR: Reads text, not what it means
AI: Knows a due date from an invoice date
Knowing when it is unsure
Template-based OCR: No reliable signal
AI: Confidence score for every field

Accuracy

Accuracy You Can Check, Not Just Trust

No system reads every document perfectly, so we don't pretend it will. Every field gets a confidence score, and you decide what happens at each level.

  1. 1

    High confidence

    Passed straight through

  2. 2

    Medium confidence

    Quick check of the highlighted field

  3. 3

    Low confidence

    Full review by your team

Measured on your documents

We report accuracy field by field on a sample of your real documents, not on a vendor's demo set.

Rules catch what AI misses

Totals, dates, tax numbers and PO matches are checked in code, so a misread number doesn't slip through.

A review screen your team likes

Reviewers see the document and the extracted data side by side, with the doubtful fields already highlighted.

Corrections make it better

Every fix a reviewer makes is recorded and used to improve extraction for that document type.

Security

Built for Sensitive Documents

Invoices, IDs, contracts and bank statements hold some of your most private data. We treat the pipeline with the same care as any system that stores it.

  • Encryption in transit and at rest
  • Personal data masked where it isn't needed
  • Option to run entirely in your own cloud
  • Retention rules so files aren't kept longer than necessary
  • Role-based access and a full audit log

Services

Our Document Intelligence Services

From a quick test on your documents to a full pipeline connected to your systems.

Custom Extraction Pipelines

Classification, extraction and validation built for your document types, combining OCR, vision models and language models as each case needs.

Review & Validation Portal

A simple web screen where your team checks and corrects flagged documents, with queues, assignments and an audit trail.

Our process

Start With Your Own Documents

The only honest way to judge document AI is on your real paperwork. That is where every project with us begins.

  1. Step 1

    Share a sample

    You send us a representative set of documents, with sensitive details removed if you prefer, and tell us which fields you need.

  2. Step 2

    Proof of concept

    We build a first pipeline and report accuracy for every field, so you see exactly what will be automatic and what will need review.

  3. Step 3

    Build & integrate

    We add validation rules, the review screen and the connection to your systems, and test on a larger batch of real documents.

  4. Step 4

    Go live & improve

    We launch with monitoring of accuracy and volumes, and keep improving the pipeline from your reviewers' corrections.

Technology

OCR, AI Models and Tools We Use

We combine the right OCR engine with the right AI model for each document type, and keep the pipeline independent of any single vendor.

OCR & layout
Azure AI Document IntelligenceAmazon TextractGoogle Document AITesseractPaddleOCR
AI & vision models
OpenAI GPTAnthropic ClaudeGoogle GeminiOpen-source vision models
Search & storage
PostgreSQL + pgvectorElasticsearchAmazon S3Azure Blob Storage
Where documents come from
Email inboxesSharePoint & OneDriveGoogle DriveSFTPScanners

FAQ

Document Intelligence FAQs

Still unsure? Send us a question.

What is AI document intelligence?

AI document intelligence, also called intelligent document processing (IDP), is software that reads business documents the way a trained person would. It recognises the type of document, pulls out the data you need, checks it against your rules and sends it to your systems, flagging anything it isn't sure about.

How is it different from OCR?

OCR turns an image into text. Document intelligence goes further: it understands which text is the invoice number and which is the due date, reads tables and handwriting, copes with layouts it hasn't seen before and gives a confidence score for every field. OCR is usually one part of the pipeline.

How accurate is AI document extraction?

It depends on the document type and quality, so we measure it on your own documents during the proof of concept and report it field by field. Clean digital invoices often need very little review, while poor scans or handwriting need more. Validation rules and human review make sure errors are caught before they reach your systems.

What happens when the AI isn't sure?

Every field has a confidence score. Above the threshold you choose, data flows straight through. Below it, the document goes to a reviewer with the doubtful field highlighted, so checking it takes seconds rather than re-typing the whole document.

Can it read handwriting, scans and other languages?

Yes, within limits. Modern models read most printed and handwritten text in scans and phone photos, in English, Hindi and many other languages. Very poor images or unusual handwriting will be flagged for review rather than guessed.

Can the extracted data go straight into our ERP or accounting software?

Yes. We connect to your ERP, accounting, CRM or document management system through its API, or through imports where there is no API, and check for duplicates and mismatches before anything is posted.

Is it safe to send our documents to an AI system?

We design for sensitive data from the start: encryption, masking of personal details, strict access control and retention rules. We use AI services under business terms that exclude your data from model training, and the whole pipeline can run in your own cloud if required.

How do we get started, and what does it cost?

Most projects start with a proof of concept on a sample of your documents, which shows the achievable accuracy before a larger commitment. Cost then depends on the number of document types, monthly volume and the systems involved, and we give you a fixed-scope quote.

See what AI can read from your documents

Share a handful of sample documents and the fields you need. We will show you what can be extracted automatically and what would still need a person.

Test It on Your Documents

Useful to have ready for the call

  • 1A few sample documents (sensitive details can be blanked out)
  • 2The fields you need from each document type
  • 3Where the data should end up
  • 4Roughly how many documents arrive each month

None of it is required. We can work it out together.