Capture and classify
Invoices, claims, forms, and contracts are identified, split, and routed to the right extraction schema.
/ Operations & Automation /
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.
The problem
Unstructured documents are invisible to every downstream system
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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.
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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.
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Compliance risk from inconsistent review
When document review depends on individuals, quality and thoroughness vary. Audit trails are incomplete.
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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
Extract and validate
Fields, tables, and line items are read with confidence scores and business rules—not OCR alone.
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.
~33,000
invoices a year handled by one IDP deployment, multi-channel capture to ERP
Thinkia feasibility analysis for a European private bank (2026), anonymised.
7 weeks
from discovery to hardened pilot, integration with the invoice workflow included
Thinkia feasibility analysis for a European private bank (2026), anonymised.
–65%
Reduction in documents awaiting human processing
Orientative — confirmed in discovery; depends on the starting point.
How we work
From piles of files to structured answers and workflows
Sample & typology
Sample & typology
Week 1–2
Representative docs and fields are chosen so extraction targets real variance, not demos.
Model & validate
Model & validate
Week 3–5
Accuracy thresholds per field are agreed; human review loops close gaps before scale.
Integrate systems
Integrate systems
Week 6–9
ERP, CRM, or case tools receive structured outputs with lineage and error handling.
Production ops
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.
Go deeper
Documents, retrieval, and reliable answers
Ideas, trends, and tools to stay ahead
Get started
Ready to scope this for your context?
We start with a focused session—no commitment—to map constraints and a sensible path.