AI & Intelligent Document Processing

Turn documents into usable data—with people kept in control.

Ascentas helps design document-to-data workflows that classify suitable inputs, extract useful information, validate the result and route exceptions for human review.

Discuss Intelligent Document Processing Show Us Your Document Process

The business problem

Important data is often trapped in documents.

Invoices, forms, correspondence and case material may arrive as files that people must read before another process can begin. The aim is not to add “AI” everywhere; it is to make a suitable document flow faster, clearer and more reliable.

Teams repeatedly read documents to find the same categories of information.
Manual entry delays a downstream decision or system update.
Different layouts and incomplete fields create exceptions that need judgement.
The organisation needs a controlled route from uncertain input to usable data.

A person working with documents represented as structured digital information — Combine document extraction with validation, controlled routing and human review.

A practical flow

Extraction is one stage, not the whole solution.

The exact combination of models, OCR, rules and review depends on the documents, quality, risk and intended outcome.

A controlled document-to-data route

01
ReceiveBring an agreed document type into a controlled route.
02
ClassifyIdentify the document or category using suitable methods.
03
ExtractCapture the fields or information needed for the next step.
04
ValidateApply confidence, format and business-rule checks.
05
ReviewSend uncertain or exceptional items to a person.
06
RoutePass approved information into workflow or a suitable system.

Potential document flows

Start with a defined document type and next action.

Suitability depends on representative samples, quality, variation and the consequence of an incorrect result.

Invoices and finance documents

Extract agreed fields for validation before an approval or system update.

Applications and forms

Identify document types, capture useful answers and route incomplete cases.

Correspondence and attachments

Classify incoming items and connect them to the appropriate work queue.

HR, contract or case records

Support controlled extraction where oversight matches sensitivity and risk.

Assess the use case

A good starting point has a clear input and a useful next action.

Variation is expected, but the organisation needs enough examples and business context to define what “good” looks like.

Define the document set
Identify the types, channels, variation and representative examples.
Choose the fields
Focus on information that changes a decision, record or next step.
Set validation rules
Decide what can pass, what needs checking and what must stop.
Design human review
Give reviewers context, ownership and a clear correction route.
Connect the outcome
Route validated data to an agreed process or appropriate system.
Measure and refine
Review real exceptions and improve the solution with evidence.

Responsible boundaries

Confidence is not certainty.

An IDP design should expose uncertainty and match its controls to the consequence of an error. No page can determine suitability without representative documents and process evidence.

Use representative, lawfully available samples during discovery.
Set thresholds and review routes around the real operational risk.
Do not infer facts that the source document does not support.
Keep a person involved where ambiguity or consequence requires judgement.
Test changed layouts, poor-quality inputs and missing information.

Complete the route