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AI and Automation

Document Intelligence

Extract, classify, validate and review useful information from business documents.

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Slide 1 of 3: Document Intelligence

Service overview

What Document Intelligence should accomplish

Extract, classify, validate and review useful information from business documents. We begin by reviewing the task, source data, permissions, failure modes, human review and operating cost, then scope the work so the responsible team can run and improve it after delivery.

Service focusDocument Intelligence

Extract, classify, validate and review useful information from business documents.

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Problems solved

When this service becomes useful

01

AI pilots lack grounded sources, evaluation, permissions or a safe route into daily operations.

02

The current approach to Document Intelligence does not have a clear owner, acceptance criteria or agreed measure of success.

03

Document Intelligence decisions are split across teams, tools or suppliers, creating avoidable gaps in delivery.

Suitable for

A sensible fit when

  • Teams that need to extract, classify, validate and review useful information from business documents
  • Organisations reviewing Document Intelligence before a launch, migration or major investment
  • Operations, service, sales and marketing teams automating repeated work without losing control or traceability

Key benefits

What the work should improve

  • A clear decision on Document Intelligence, tied to the business goal and audience
  • Less rework because data access, permissions, review points and failure handling are resolved before production
  • Named ownership, quality checks and a practical way to track quality, time, cost and exception data

Deliverables

Outputs from Document Intelligence

01

Document Intelligence review and requirements brief

02

Document Intelligence workflow, data and control design

03

Document Intelligence implementation with documented quality checks

04

Document Intelligence evaluation results, runbook and governance handover

Working process

Document Intelligence: from review to handover

01

Define

Specify the task, boundaries and accountable owner for Document Intelligence.

02

Ground

Connect Document Intelligence to approved information, tools and permission rules.

03

Evaluate

Test Document Intelligence against realistic cases, errors and escalation paths.

04

Govern

Release Document Intelligence with monitoring, human review and change control.

Platforms and technologies

Selected to fit the requirement

OpenAI-compatible APIsAnthropic-compatible APIsVector databasesWorkflow platformsCRM APIsPythonTypeScriptCloud services

Frequently asked questions

Questions about Document Intelligence

What is included in Document Intelligence?

Extract, classify, validate and review useful information from business documents. The final scope lists the decisions, implementation work, review points and handover needed for that outcome.

How does WebGeneric choose an approach for Document Intelligence?

We compare the task, source data, permissions, failure modes, human review and operating cost. The recommendation reflects the client's priorities, current setup and ability to operate the result.

What should the client team provide for Document Intelligence?

Example tasks, approved source material, system access, permission rules, exception cases and named reviewers.

Enquire about Document Intelligence

Share the requirement, current system and useful constraints.

We will use the information to confirm whether this service is the right starting point.

Discuss Document Intelligence

Start with the outcome, current setup and the people who will own the work.

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