System 03 · Information
Document & data intelligence
The system reads documents, identifies relevant fields and uses validation rules to produce structured, reusable data.
PDFs, scans and emails become traceable data for business processes.
Discuss a use caseTypical starting point
- Invoices, contracts or forms are transferred manually.
- Different layouts lead to errors and rework.
- Important information exists but cannot be analysed.
What the system does
- Recognise text, tables and relevant fields
- Classify documents and assign them to cases
- Validate values against rules and master data
- Deliver results with origin and confidence
Best cases
Specific applications instead of abstract promises.
Document intelligence combines AI recognition with binding specialist validation.
Invoice processing
- Situation
- Incoming invoices arrive in different formats.
- System
- Header and line-item data is extracted and checked against rules.
- Outcome
- Less data entry and traceable exceptions.
Contract analysis
- Situation
- Deadlines, clauses and obligations are spread across documents.
- System
- The system marks relevant passages and structures key data.
- Outcome
- Faster preliminary review without replacing final legal control.
Forms and email intake
- Situation
- Applications reach the organisation through different channels.
- System
- Content is classified, required data identified and cases prepared.
- Outcome
- A consistent intake for downstream processes.
Workflow
How the system works
Not four isolated phases but one continuous path: every step passes context, responsibility and measurable quality to the next.
- 01
Recognise input
File type, language and document class are determined.
Defined step - 02
Extract content
Text, tables and defined fields are read.
Defined step - 03
Validate data
Rules and reference data check plausibility and completeness.
Defined step - 04
Deliver results
Structured data and exceptions enter the specialist process.
Defined step
Control remains in the system.Every handoff is visible, reviewable and extensible.
- Data
- Approvals
- Audit trail
- Quality
Impact
Measurable impact
What matters is not recognition alone, but quality after validation.
- ↓Processing time
- Time from intake to a structured record.
- ↑Data quality
- Complete and correctly validated fields.
- ↓Rework
- Cases that require correction or new manual entry.
Background in the AI Wiki