Does the assistant replace the technician's judgement?

No. It makes approved sources and documented checks accessible. Safety instructions, work authorisations and on-site judgement remain decisive. Unsupported repair steps are not presented as dependable instructions.

How does this differ from the internal AI assistant?

The service assistant is configured around machine families, variants, fault codes and service cases. A general internal assistant covers broader company knowledge without that defined service context.

Which documents can the service assistant process?

In the pilot, the agreed formats of one import path, typically PDF manuals, error code lists and documented service cases. Scanned documents, drawings or multilingual collections are checked with examples beforehand.

Can maintenance systems and spare-part catalogues be connected?

Yes, after assessing interfaces, identifiers and permissions. Read access and write actions are planned separately. Orders or changes require the agreed approval process.

How are service reports created from speech?

As an extension, recordings or notes become drafts using your report template. Missing required information is flagged. Your team reviews drafts before export or transfer; measurements are not invented.

Can it run locally or without internet access?

Local and hybrid deployment are possible. Offline use on mobile devices is a separate integration scope involving synchronisation, devices and models. It is not automatically included in the pilot.

Can new service cases be added?

Yes. New cases are captured through the agreed maintenance workflow and approved by experts. This updates the knowledge base; it does not imply automatic retraining of the language model.

How much does an AI service assistant cost?

The pilot for one machine family costs from €29,900 excl. VAT, the service report add-on from €9,900 excl. VAT. Further machine families, CMMS write access or offline use are quoted separately. Pilot results are reused when the solution is extended.

AI service assistant: make manuals, error codes and service knowledge searchable

Technicians search manuals and old reports while on site. In the pilot, AI makes the service knowledge of one machine family searchable, with the source and matching version for every answer.

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Starting point

Your technicians lose time searching manuals

Technicians search manuals, error lists and old reports on site
The same questions keep reaching experienced colleagues by phone
Machines, variants and document versions can be assigned clearly
Experts can approve sources and test cases

Outcome

From error pattern to the right documentation, with source

After the pilot, your service team finds the matching passage in approved documentation for an error code and machine variant, with source and document version. Known cases can be looked up instead of being clarified by phone.

Find the right manuals
Connect fault codes and components to approved documents for the right machine family.
Use known cases
Review similar service cases with sources instead of repeatedly calling colleagues with the same questions.
Record findings
Keep relevant references for the service job. Voice-assisted report drafts can be added as an extension.

Data or integration path still unclear? The AI Opportunity Check evaluates one specific workflow and its prerequisites.

View opportunity check

Pilot scope

A pilot for one machine family

One machine family with variants and document versions, one import path, tests with 60–100 service cases and an introduction.

Included

One machine family, one import path and one user group
Agreed variants and version-controlled documents
60–100 service cases and tests with subject-matter experts
Source display, escalation paths, documentation and training

Extensions

Scoped separately as needed

Autonomous machine control and safety-critical action approvals
Additional machine families and CMMS write integration

Process

From one machine family to an accepted assistant

We start with one machine family and real service cases. Versions and variants are taken into account in search so that answers fit the machine on site.

01
Select the collection
Choose one machine family, users and documented service cases for the pilot.
02
Connect documentation
Prepare sources and incorporate machine context and document revisions into retrieval.
03
Validate with experts
Review answers and missing information with the service team; correct unsuitable sources.
04
Use in service work
Hand over the assistant and define how new documents, feedback and optional operations are handled.

What we need from you

Sample manuals, fault lists and approved service cases
Machine family, variants and intended users
Target environment and subject-matter contact

Scope and investment

Cost of the AI service assistant

Two building blocks: the pilot makes the service knowledge of one machine family searchable. The service report add-on adds speech-based report drafts in an existing service environment.

Service Assistant Pilot

Make manuals, error codes and service cases for one machine family searchable with source and version references.

from €29,900excluding VAT and separately quoted third-party costs

Credited against the production rollout. You receive the proposal for it with the acceptance report.

6–8 weeks

Scope as described above

Outcome and verification: Documented machine/version matching and expert-reviewed answers.

Service Report Add-on

Turn voice input into reviewable report drafts within an existing service environment.

from €9,900excluding VAT, in addition to the pilot, plus separately quoted third-party costs

One report template, one intake path and one agreed language
Mandatory-field checks and 30–50 test reports
Human approval and one export path
Documentation and updated handover materials

2–3 weeks

Outcome and verification: Tested report drafts with visible uncertainties and traceable approval.

Quoted separately: Building the underlying assistant · Additional languages, templates and custom CMMS integration

Not sure yet whether the pilot pays off? The AI potential check (from €3,900 excl. VAT) answers that first.

Delivery starts once agreed data, access and stakeholders are available. The binding scope and price are defined in your proposal. Hardware, hosting, model consumption, licences and ongoing operations are quoted separately. Follow-on projects are costed against reusable results. We credit the pilot price when you commission the production rollout; there is no requirement to purchase every stage. A pilot concludes with a quality report and an evidenced recommendation to proceed or stop. A documented no-go is a valid outcome. Production approval and ongoing operations are agreed separately.

All prices are net and exclude statutory VAT. The offers are addressed to businesses.

Knowledge systems

Extend and support service knowledge

The service assistant uses the same technology as the internal AI assistant, tailored to machines and service cases. Undocumented experience is captured through knowledge transfer.

Knowledge transfer

Capture and approve experiential knowledge that is not documented yet from interviews.

View offer

Internal AI Assistant

Make further approved company sources available to other teams.

View offer

Managed LLMOps

Monitor quality, source access, errors and model changes within the agreed scope.

View offer

Frequently asked questions about the AI Service Assistant

Scope, integration and subject-matter responsibility.

Reviews & projects

What clients say about working with us

From local AI integration to architecture, data sovereignty and ongoing operations.

WZ-IT moved our studio infrastructure from decentralised individual devices to a central platform: every site is securely connected via VPN, new devices are onboarded automatically and an entire site is provisioned from a template, without manual steps on location. What impressed me most is the breadth and depth of their knowledge: Timo and Robin are not a typical IT provider who sets up a server and leaves. The two of them think their way into highly complex infrastructure and software topics, work through every requirement we put in front of them, and build networking, provisioning and operations so that everything fits together in the end. WZ-IT is an excellent partner for complex software, network and architecture projects.

Steve KirchnerManaging Director, nextGYM GmbH

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International

Built in Germany's Ruhr Valley. Running worldwide.

WZ-IT designs, develops and operates infrastructure and software for clients in Germany and internationally. We deliver projects remotely and continue supporting them in ongoing operations after go-live.