EN
Contact & Support
MenuMenu
Automation
Virtual commissioningvalidate the plant on a modelPLC programmingTIA, TwinCAT, CodeSysRobot programmingKUKA, ABB, FANUC, URFunctional safetysafe stop, guardingElectrical designdiagram and control cabinetOn-site commissioningstart-up at the real plantBuildings and processesbuilding and process automationTechnical project managementcoordinate teams and versionsMaterial flow simulationthroughput and cycle timeTrainingtrain staff on the modelOpen overviewVirtual commissioning FAQTerms in automation & virtual commissioning
Industrial IoTSoftwareAIIT/OTProductsCompany
Legal NoticePrivacy PolicyCookie PolicyTermsAccessibilitySitemap

AI should take on work and
keep decisions traceable

Connect agent tasks with released data, tools and human review.

An assistant only saves work if it reaches the information it needs and its results can be used. With additional tool rights, the requirements for control and approval rise at the same time.

IQstruct Engineering integrates assistants and agentic workflows into existing applications. Research, analysis, document editing and code generation can be supported within defined assignments. Roles, access and human review steps limit the actions; productive releases receive human approval.

Start now at no cost

In a free first conversation we clarify which task the assistant takes on and what effect it may have on the outside.

See the person in charge

Scope of services

Define tasks and permissions

The work assignment determines the accessible documents and tools.

Connect systems via interfaces

MCP servers and APIs connect the agent with existing applications.

Review results technically

People assess interim results and approve critical steps.

Assistants with a clear assignment

IQstruct Engineering integrates assistants and agentic workflows into existing applications.

Research, analysis, document editing and code generation are supported within defined assignments. Roles, access and human review steps limit the actions; productive releases receive human approval.

People review content and interim results iteratively. Source checks, plausibility checks, least-privilege permissions, separate data areas and logging help to recognise and stop wrong answers, prompt injection and unusual data access.

Person working at a monitor and a notebook with source code

Assistants and agents

AI takes on work, people keep the decision

For actions with greater impact, we define approvals before an agent carries them out.

Approach in the project

  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 checks a project offer with a funding plan on the screen and holds the printoutAi

    2

    Discuss quotation and funding roadmap

    The project quotation sets out the scope and, where sensible, a roadmap for possible funding.

  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. An employee asks the AI assistant a question while a colleague checks the answer against the documentAi

    4

    Use AI in everyday work

    Your team trials the assistant and checks its answers against the documents.

What assistants take on

Research and analysis

Information is searched for, summarised and classified.

Document editing

Drafts and revisions are created within the approved framework.

Code generation

Code is prepared and reviewed by people before the release.

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 an agent work entirely without control?

Agents work within the approved assignment; human review and approvals are an integral part of it.

How is prompt injection recognised?

Indicators are content that changes the assignment or requests access to data that are not needed. Least-privilege permissions, filters and logging limit the consequences.

Which technology is behind the connection?

MCP servers, API clients and integrations implemented by our software development.

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.

Integrating AI agents into software

Develop controlled connections between AI, tools and your applications.

Learn more

Integrating AI into existing systems

Connect assistants with ERP, office applications and existing data sources.

Learn more

AI rollout and support

Combine introduction, human approvals and ongoing service.

Learn more