A successful AI trial
needs governed operation.

After the trial, AI applications have to pass into the workflows and responsibilities of the company.

The first demonstration works, but new users lack rules and people to ask. Changes to sources, models or permissions can produce different results later. Before the rollout, approval criteria, documentation and support therefore have to be settled. The handover should enable the team to use the application, report irregularities and introduce changes in a controlled way.

IQstruct Engineering accompanies AI from consulting and concept through implementation to support. Human review steps, documented training and agreed operating tasks connect the technical solution with its use. Changes to models, prices and providers are treated as part of the ongoing development.

Start now at no cost

In a free first conversation we look at a tested case and name what is still missing before operation.

See the person in charge

Approach in the project

  1. Two women agree roles, approvals and quality criteria for the rollout on the screenAi

    1

    Prepare the rollout

    Human approvals, roles and quality criteria are agreed.

  2. A trainer explains the AI assistant and the reporting channels to two usersAi

    2

    Prepare users

    User training with the assistant and documented reporting channels are part of the introduction.

  3. An employee takes over the approved application with the operating documents on the screenAi

    3

    Hand over operation

    Those responsible approve the application and take over the operating documents.

  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.

An AI trial becomes a supported workflow

IQstruct Engineering accompanies AI from consulting and concept through implementation to support.

Human review steps, documented training and agreed operating tasks connect the technical solution with its use. The introduction regulates who checks quality in everyday work, supports users and responds to changes.

Changes to models, prices and providers are part of ongoing development. Specific service hours and performance values are defined with the customer.

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

AI rollout

People approve productive releases

AI creates texts and code and prepares work steps; the assessment of content remains with responsible people.

What belongs to the handover

Human approval

A productive release receives approval from responsible people.

Training records

Documented training complements the technical handover.

Operating tasks

Service, updates and support are agreed.

AI used in our own daily work

Internally, IQstruct Engineering productively uses an LLM wiki, local AI, its own agentic workflows and AI-assisted software development.

Staff training has been carried out and documented. This experience flows into the integration we offer.

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

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

Can payback and quality of results be guaranteed?

Savings, error-free answers and fixed payback periods are not guaranteed. Responsibility for results remains with people.

What happens when models or prices change?

Changes to models, prices and providers are assessed in ongoing support and implemented where needed.

How are users prepared?

Training and reporting channels are part of the introduction and are documented.

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

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

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Combine monitoring, updates and support in one agreed operating model.