Document AI

Document AIDocument AI that reads what you have — invoices, claims, contracts, filings.

Macsons builds Document AI pipelines that extract, classify and act on unstructured documents at production accuracy — with the audit trail your controllers demand.

The problem we solve

Every enterprise is drowning in unstructured documents. Traditional OCR gets you 60% of the way; modern Document AI — OCR plus LLM plus tooling — takes the last mile without losing accuracy or audit posture.

Capabilities

What we deliver

Every capability is production-grade — designed to run in your environment, under your controls, against your KPIs.

Multi-format ingestion

PDF, scans, images, email attachments and structured feeds — including handwritten.

Extraction & classification

OCR + LLM + rule fusion for high-accuracy field extraction and doc-type classification.

Downstream action

Push structured data into ERP, CRM, ticketing or your workflow of choice.

Human-in-the-loop

Confidence-based review queues for the edge cases — with active-learning improvement.

Compliance & audit

Every extraction, model version and human decision is logged and reproducible.

How We Work

The Macsons delivery method

A disciplined delivery model — value first, risk-managed, measured against outcomes you signed up for.

01

Scope

Pick 1–3 document types with volume and business impact.

02

Build

Extraction, review UI, integration and evaluation.

03

Pilot

Parallel run vs. baseline; tune to accuracy target.

04

Scale

Broaden document types and channels under governance.

Use Cases & Outcomes

Where this pays off

Representative use cases
  • Invoice, PO and receipt processing across AP
  • Insurance claims and healthcare EOB processing
  • KYC/KYB document verification for banks and fintechs
  • Contract abstraction and clause extraction
  • Government filings and permit intake
Outcomes we sign up to
  • 60–90% reduction in manual document handling
  • Faster cycle time and fewer disputes
  • Full audit trail from raw doc to posted record
  • Continuous accuracy improvement via active learning

Outcomes are indicative across comparable Macsons engagements. Every deployment is scoped to your baseline and validated with your data.

FAQ

Common questions from enterprise buyers

How accurate is it?

Field-level accuracy targets are set at kickoff (typically 95–99% depending on doc type). Below-threshold extractions route to human review.

Do you replace our RPA?

We often replace or dramatically shrink brittle RPA flows by handling variability that rules can't. Sometimes we sit alongside it.

Related Capabilities

Services we combine on this engagement

Where we deploy this

Industries served

Talk to a Macsons AI architect

Book a free 30-minute session. We'll map the highest-ROI application of this capability in your operation — and tell you honestly if AI is the wrong answer.

Macsons AI