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Ai

AI needs clear rules for data,
use and responsibility

Classify requirements technically and organisationally before individual tools turn into operational processes.

Unclear rules for the use of AI leave employees alone with questions about data, approvals and responsibility. At the same time, requirements have to suit the actual application and the role of the company.

IQstruct Engineering supports the technical and organisational classification of AI applications. Training conveys capabilities, limits and the handling of sensitive information. Usage rules, human review and reporting channels are connected with the existing information security management.

Start now at no cost

In a free first conversation we review your use of AI, the rules in place and open responsibilities. We clarify which technical and organisational steps follow from them.

See the person in charge

Scope of services

Classify application and responsibility

Systems, data and the roles involved form the basis.

Enable employees

Documented training covers the review of results, data access and safe handling.

Anchor rules in operation

Access levels and approvals connect governance with technical implementation.

Aligning AI literacy with the tasks

IQstruct Engineering supports the technical and organisational classification of AI applications.

Documented training and awareness measures are based on role, prior knowledge, the systems in use and the risk profile. They cover the possibilities and limits of AI, the critical review of results, the protection of confidential and personal data and permitted tools.

Prompt injection and conspicuous data access are classified as risks. Usage rules, human review and reporting channels connect to the existing information security management; recurring training accompanies ongoing IT and AI projects.

Person with a safety helmet and a tablet in a production hall, with overlaid symbols in front
Ai

AI governance

Clear rules for data, use and responsibility

Requirements are classified against the actual application and the role of the company before individual tools turn into operational processes.

Approach in the project

  1. A consultant analyses the requirements for the use of AI with a colleague on the screenAi

    1

    Classify requirements

    Relevant requirements are analysed against the operational use of AI.

  2. An employee sets tasks, owners and deadlines in an action plan on the screenAi

    2

    Plan measures

    Responsibilities, tasks and dates are set out in an overview of measures.

  3. Two people implement technical measures on the screen and check them against the documentsAi

    3

    Carry out measures

    The team implements the agreed organisational and technical measures.

  4. A technician measures on a device while a colleague enters the results in a test reportAi

    4

    Document evidence

    Implementation and results are documented in a traceable way.

What the training covers

Basics and limits

What AI can do and where its technical and practical limits lie.

Review results

Handling hallucinations as well as checking sources and facts.

Data and risks

Protection of confidential data, prompt injection and social engineering.

Protecting confidential project data reliably

In the automotive industry, TISAX creates a common basis for handling confidential information.

Manufacturers and suppliers exchange design data, software and further sensitive project information. TISAX makes it possible to assess information security against common criteria and to share the results with business partners. As an engineering service provider in this supply chain, IQstruct Engineering likewise commits to protecting the information entrusted to it and holds a TISAX label. Clear access rights, governed data exchange and traceable responsibilities are therefore part of the cooperation in a project as well.

Controller modules on a DIN rail with blue wiring

Funding

Clarify funding options before placing the order

Funding programmes may be available for consulting on and trialling your AI project.

IQstruct Engineering supports the survey, the project outline and the preparation of the application documents. Your company submits the application. Whether and to what extent funding is possible depends on the programme, the location and the project.

View funding programmes and requirements

Frequently asked questions

We are glad to answer your detailed questions in a personal conversation.

Is the support a form of legal advice?

IQstruct Engineering does not provide legal advice. We classify requirements technically and organisationally; binding legal assessments are made by external experts.

How is AI literacy demonstrated?

Through documented training whose content is adapted to role, prior knowledge and the systems in use.

How are AI rules and information security connected?

Usage rules, reporting channels and emergency procedures are connected to the existing information security management.

Further industry solutions

Every industry has its particularities. That calls for a reliable partner who knows the requirements and delivers suitable solutions.

First conversation

Arrange a free first conversation

Describe your task. We agree a date and discuss the possible project scope.

  1. Notebook on a desk with an open calendar and a selected appointmentAi

    1

    You request an appointment

  2. Meeting on planning a local AI assistant with company knowledgeAi

    2

    We discuss your requirements

  3. Person trialling an AI assistant that answers from provided documentsAi

    3

    You receive a quotation for the agreed scope

Philipp Niemann-Stryczek
Philipp Niemann-StryczekManaging DirectorLeads the company on the commercial side and answers questions on IT/OT security, asset administration shells, compliance and research projects.
Free first conversation

Describe your task in the contact form. We come back with a proposed date.

Arrange a first conversation

Not quite what you need?

Discover further suitable services.

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