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Datenschaftler

Use case · solution pattern, not a customer claim

Technical knowledge search for service and maintenance

Service technicians search PDF manuals, SharePoint, old tickets, network drives, and email. Different spare-part names and document versions extend diagnosis and increase questions to specialists.

Data landscape

These systems and data need to come together.

The first step is not a new platform for its own sake. It creates traceable access to the sources that shape the process today.

SAP PM or CS, Microsoft Dynamics 365, MES and service systems, SharePoint, Confluence, Jira Service Management, PDF manuals, CAD drawings, maintenance records, and spare-parts catalogues.

First project scope

Small enough to test. Relevant enough to decide.

The starting point is limited to one product family, one plant, or an approved document set. Answers show their source and document version and can state clearly when no dependable answer is available.

Frame for a first project
  1. 01

    Constrain

    Select one product family, one plant, or 5,000 to 20,000 approved documents.

  2. 02

    Connect

    Connect documents, metadata, versions, and existing access rights in one search.

  3. 03

    Review

    Use experienced specialists to test real service questions against expected sources.

  4. 04

    Observe impact

    Observe search time, answer quality, user feedback, and avoided escalations.

The honest objection

Our documents are too unstructured and the AI hallucinates.

The dependable response

That is why the pilot starts with access-controlled retrieval. Answers use approved documents only, cite the location and version date, and provide a clear option when evidence is missing.

Conditions

What must be true before technology can create value.

A sound starting point needs clear data, accountability, and boundaries. Missing conditions are made visible rather than hidden.

  1. 01Approved documents and valid versions are identified.
  2. 02Existing permissions carry through to search.
  3. 03Specialists define real test questions and acceptable sources.

When personal data is processed, requirements include purpose limitation, data minimisation, access protection, and deletion rules. Works councils and data protection stakeholders should be involved early where the specific use requires it.

Portrait of Umar Qureshi

Personal accountability

10+ years of practice across data and AI.

Umar Qureshi, Data & AI Expert

The technical background spans data engineering and platform architecture through enterprise search and responsibly integrated AI systems. The assessment remains grounded in your process and system landscape.

Meet Umar and the team

Free initial assessment

Which technical questions consume the most search time today?

In the discovery call, we assess sources, permissions, and a sensibly bounded document set.

The initial consultation and joint use-case discovery are free and non-binding.