AI Document Processing

Intelligent document processing for everyday work

People read the same document types and copy the details into another system. We build intelligent document processing that extracts useful information, checks it, and routes uncertain results for review. Our Canadian team connects document processing with your business rules and systems.

Partners

Microsoft Solutions Partner

Microsoft Solutions Partner Data & AI

Anthropic

Claude Partner Network

Make the document part of a working process

Use OCR, AI, or both to turn selected documents into structured information. Define the fields, validation, and review steps before connecting results to the next workflow.

We test representative documents and agree evaluation measures, then build a workflow with validation, review, and a destination for approved information.

What the workflow can include

  • Document intake and type classification
  • OCR and structured field extraction
  • Line-item capture from agreed document types
  • Catalogue and business-rule checks
  • Missing or conflicting information flags
  • Review queues for uncertain results
  • Connections to ERP and business systems
  • Processing history and result traceability
  • Evaluation datasets and accuracy checks
  • Handling rules for unsupported documents

Give people less document work to repeat

Featured document processing benefits

Reduce time spent copying details

Extract fields and pass checked results into the next step, reducing repeated manual entry.

Put review effort where it is needed

Flag uncertainty and exceptions so staff can focus on documents that need judgment or correction.

See how the workflow performs on your documents

Test representative examples against defined checks to understand accuracy and improve the process over time.

Questions about AI document processing

What is the difference between OCR and AI document processing?

OCR software reads text from a document image. A document-processing workflow also identifies useful fields, applies checks, and sends information to a destination. AI can help interpret varied layouts, but the right approach depends on your documents and required results.

Can it read handwriting, tables, or poor scans?

Those features affect reliability and must be tested with representative examples. We agree supported document types and what happens when a document falls outside them. Difficult inputs may need better capture, additional review, or a different process.

What accuracy can you guarantee?

We do not apply a generic accuracy figure to every document. We define the fields, test set, and acceptance measures with your team. Validation rules and human review handle the agreed uncertainty before the workflow is released.

Can the extracted information go into our ERP?

We assess available interfaces and the records that need to be created or updated. Validation, ownership, and failure handling are part of the design. ERP implementation and accounting configuration remain with your ERP specialist.

How are sensitive documents and ongoing costs handled?

We agree permitted information, access, storage, model-provider terms, and review responsibilities before building. Costs depend on volumes, formats, extraction requirements, and integrations. Platform usage, licences, and ongoing support are identified separately from development.

Tools we work with

AI platforms and models

Using something else? We can work with your existing technology and help you find the right way forward.

Want to automate document processing?

Bring a few representative examples and show us where the information needs to go. We’ll help you assess a useful first workflow.

Real people, here to help

We’ll get back to you within one business day

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