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Turn unstructured documents into structured decisions.

Extract, classify and act on information from contracts, reports, invoices and forms — at the speed and scale no human team can match.

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The problem

Unstructured documents are invisible to every downstream system

  • Documents that nobody can search

    PDFs, scanned files and unstructured reports sit in shared drives, inaccessible to any system that needs the data inside them.

  • Manual extraction that doesn't scale

    Teams copy data from documents into systems by hand. It's slow, error-prone and impossible to accelerate without more headcount.

  • Compliance risk from inconsistent review

    When document review depends on individuals, quality and thoroughness vary. Audit trails are incomplete.

  • Insights that never reach decisions

    Extracted data sits in silos. Teams still work from email attachments and spreadsheets because nothing connects to the workflow.

How it works

Documents in—structured facts and actions out

Step 1

Capture and classify

Invoices, claims, forms, and contracts are identified, split, and routed to the right extraction schema.

Step 2

Extract and validate

Fields, tables, and line items are read with confidence scores and business rules—not OCR alone.

Step 3

Post to systems of record

Validated payloads create or update ERP, CRM, and case records with human review only where risk demands it.

Templates evolve per document type without retraining your whole stack.

Turn unstructured documents into structured decisions.

What's included

What you get when you run this with Thinkia

A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.

Multi-format ingestion

Processes PDFs, Word docs, scanned images, emails and structured forms in a single pipeline.

Intelligent extraction

Identifies and pulls named entities, clauses, dates, amounts and custom fields without manual templates.

Classification and routing

Automatically categorises documents and routes them to the right workflow or system.

Comparison and validation

Flags discrepancies between documents (e.g. contract vs. invoice) before they become problems.

Human review queue

Low-confidence extractions are flagged for human review with context, not discarded.

Audit trail

Every extraction, classification and routing decision is logged with timestamp and confidence score.

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Results

What changes when this runs in production

Results vary by document type, volume and quality of source files.

–80%

Reduction in time spent extracting and entering document data

95%+

Across standard document types after calibration

–65%

Reduction in documents awaiting human processing

How we work

From piles of files to structured answers and workflows

Sample & typology

Week 1–2

Representative docs and fields are chosen so extraction targets real variance, not demos.

Model & validate

Week 3–5

Accuracy thresholds per field are agreed; human review loops close gaps before scale.

Integrate systems

Week 6–9

ERP, CRM, or case tools receive structured outputs with lineage and error handling.

Production ops

Week 10+

Monitoring, retraining triggers, and SLAs for exceptions—owned by your teams.

Layout diversity and scan quality dominate risk; we expand document types in waves.

Get started

Ready to scope this for your context?

We start with a focused session—no commitment—to map constraints and a sensible path.

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