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AI agents and intelligent automation designed around real business processes.

CUSTOM AI ENGINEERING

Document & Data Intelligence

We turn documents and unstructured information into usable business data.

Automate Document ProcessingOverview

WHAT THIS SERVICE CAN INCLUDE

From incoming files to validated information.

We engineer systems that extract, classify, validate and reconcile information from documents and other sources.

ILLUSTRATIVE PROJECT TYPE

A supplier invoice is compared with an existing purchase order. The system extracts relevant fields, identifies differences and prepares validated data for the agreed next step. Uncertain fields and mismatches remain available for human review.

Potential deliverables, agreed in scope

  • Document intake workflow
  • Extraction and classification configuration
  • Validation rules
  • Data mapping
  • Business system integration
  • Exception review
  • Test results
  • Operational documentation
  • 01
    Intelligent Document Processing

  • 02
    Invoice processing

  • 03
    Purchase order extraction

  • 04
    Document classification

  • 05
    Data extraction

  • 06
    Information matching

  • 07
    Data validation

  • 08
    Knowledge retrieval

  • 09
    Document workflow integration

  • 010
    Exception management

Illustrative scope, not a completed customer project. Deliverables depend on the agreed engagement.

Technology & integration considerations

OCR and document models are evaluated against representative formats and languages. Extracted values are checked against reference data and deterministic rules before export. Source files, retention, access permissions and ERP mappings are defined with the client.

ENGINEERING IN PRACTICE

From business requirements to working AI systems.

Try an invoice check: change the scenario, inspect the rules and decide whether the record can proceed.

Illustrative technical demonstration — no customer systems connected. Synthetic data; AI extraction is simulated.

Synthetic invoice INV-017

Reference order PO-204 · 10 × 25 EUR

Extracted fields (simulated)—
Difference from order—
Choose a scenario and run validation.
  1. 1
    Document

    Business input

    A synthetic invoice, with no customer data.

  2. 2
    Integration

    Data access

    Purchase order PO-204 is read from a local dataset.

  3. 3
    Simulation

    AI interpretation

    Extracted fields are simulated; no AI model is called.

  4. 4
    Deterministic code

    Rules & validation

    Compare quantity and calculate the difference against the order.

  5. 5
    Approval

    Human review

    A discrepancy requires explicit operator confirmation.

  6. 6
    Authorization

    System action

    A simulated record is allowed only with write permission.

  7. 7
    Local log

    Observable outcome

    Show the result and reference. Nothing is sent to an ERP.

LET’S BUILD TOGETHER

Have an AI project in mind?

Tell us about your business challenge, existing systems or automation opportunity. We’ll help define a practical next step.

Automate Document Processing