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Ai

Introduce AI without losing sight of data,
costs and operation

IQstruct Engineering supports your company from the first survey through system integration to service.

Small and medium-sized companies recognise the possibilities of AI but have to decide on investment, data access and responsibility. A single tool does not answer these questions automatically.

IQstruct Engineering works with you to find suitable use cases and integrates AI into existing systems. Software development, industrial IoT, automation and IT/OT expertise support the technical implementation. Local models, hardware, governance and support are planned together. Suitable funding options are already considered during preparation.

Start now at no cost

In a free first conversation we look at one of your workflows and say whether and how AI carries there.

Arrange a first conversation

From the survey to service

IQstruct Engineering works with you to find suitable use cases and integrates AI into existing systems.

Software development, industrial IoT, automation and IT/OT support the technical implementation. Local models, hardware, governance and support are planned together so that a trial turns into a supported workflow.

The offer is aimed above all at small and medium-sized companies that have to decide on investment, data access and responsibility. Suitable funding options are already considered during preparation.

Ai

Artificial intelligence

Introduce AI and keep data, costs and operation in view

Use case, tool, place of operation and governance are decided together.

Scope of services

Bring use cases and systems together

Interviews lead from operational problems to specific integration tasks.

Plan local AI economically

Model selection, hardware, data access and service are coordinated together.

Keep rules and evidence in mind

Training, approvals and access levels connect governance with implementation.

The path to a supported AI application

  1. Three people collect tasks and possible AI use cases at a tableAi

    1

    Record AI needs

    Those responsible discuss tasks and suitable use cases.

  2. A consultant compares models and providers against requirements on the screenAi

    2

    Select the AI system

    Local models, API connection and providers are compared against tasks and requirements.

  3. An administrator configures knowledge sources and access rights of an AI assistant on the screenAi

    3

    Set up the AI system

    Assistant, knowledge sources, connections and approvals are configured.

  4. A consultant discusses operation, updates and costs of the AI application with a customer on the screenAi

    4

    Keep supporting AI

    Operation, model changes, updates and costs are reviewed together.

Making company knowledge available in daily work

Technical documents and experience should be quick to find, including for new tasks.

In development projects, information is spread over documents, source code and the experience of individuals. Asking a language model a question is therefore not enough for a reliable answer. Relevant sources have to be available, changes taken into account and results checked by specialists. An LLM wiki can make this knowledge accessible; local models allow confidential content to be processed inside the company.

IQstruct Engineering uses such applications in its own software development as well and has trained its staff for them. A rollout at a customer therefore covers not only the connection but also procedures for current sources, suitable access rights and the technical review of the answers.

Person working at a monitor and a notebook with source code

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

Questions on planning, implementation and operation.

How do we check whether the results are good enough for our work?

Before the rollout, concrete tasks and assessment criteria are agreed. Specialist users check results against representative examples; for critical output, human approval is planned in.

Do our data have to leave the company for this?

The place of operation follows from the data, the tasks and the requirements. For confidential content a local system can be planned; data access and external connections have to match the chosen setup.

How do we limit effort and running costs?

We start with a bounded task and agreed criteria for usable results. Model choice, hardware and external services are considered together for it. After the trial it can be decided which extensions are worthwhile and what effort has to be planned for operation and support. In depth: Identify AI use cases · In-house AI operation

Terms in Artificial intelligence

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