Focus

Artificial Intelligence

Beyond proof of concept: INNOQ pairs architecture expertise with hands-on AI experience to get AI agents into production.

From proof of concept to AI agents in production

AI is a cross-cutting technology, and the question is no longer whether to use it but how to use it well. In practice, plenty of initiatives stall at the proof-of-concept stage, held up by integration with existing systems or unresolved security and architecture questions. This is where we pair architecture expertise with hands-on AI experience, taking generative AI, AI agents, and data architectures from assessment all the way into production. You’ll find the details on our Data & AI services page.

AI agents also change how software itself gets built: beyond code completion, across requirements, architecture, testing, deployment, and operations. We offer three formats to learn it, embed it, and secure it:

  • Agentic Software Engineering Training: three days of hands-on practice for developers and architects, putting generative AI to work across the whole development cycle, from code completion to agent-based workflows.
  • Agentic Engineering Accelerator: over several weeks, an INNOQ consultant works right inside your team through pair programming, mob sessions, and live demos, until your team applies agentic engineering on its own.
  • Agentic Software Security Training: a two-day training on the security risks of AI coding agents and agentic systems, and how to defend against them.

On this page you’ll find articles, talks, primers, and trainings on AI and agentic development.

Our Services

We advise honestly, think innovatively and love to build. The result: successful software solutions, infrastructures and business models.

Primers

Case Studies

Case Study

Data Governance without handbrakes: How AI accelerates time-to-value in Data Mesh

Case Study

Answers instead of search results:
Sprengnetter unlocks real estate expertise with Generative AI

Avatar of Theo Pack
Principal Consultant

We’d love to assist you in your digitalization efforts from start to finish. Please do not hesitate to contact us.

Get in touch!

Kontaktformular

Frequently Asked Questions

Do you have questions about Data & AI? Here you will find answers to questions we are frequently asked.

How does INNOQ support organizations in deploying artificial intelligence?

We work with you from strategic assessment to a production-ready system – from identifying the right use cases (for example in our AI Opportunity Mapping Workshop) through the architecture and development of AI systems to integration into your existing system landscape.

What are AI agents, and how can they automate business processes?

AI agents are systems that independently handle complex tasks, make decisions, and interact with your existing systems. They are particularly suited to processes that rule-based automation cannot handle – for example due to too many edge cases or media breaks. We support the integration of AI agents into your workflows, using open standards such as the Model Context Protocol (MCP).

Why do many AI projects not get beyond the proof-of-concept phase?

In practice, AI initiatives rarely fail because of the technology itself, but rather because of unresolved integration, security, or architecture questions. This is precisely where INNOQ comes in: we ensure your AI solution doesn’t remain in the lab but works reliably in production.

What is Data Mesh, and why is it the foundation for successful AI initiatives?

Data Mesh is an approach to decentralized data architectures with clear domain ownership. Instead of a central data platform that becomes a bottleneck, teams take ownership of their own data – through data products, data contracts, and self-service platforms. This creates the data quality and accessibility without which AI projects cannot scale.

Can we run AI models on our own infrastructure?

Yes. Not every organization is able or permitted to use external AI providers' models – whether for regulatory reasons, data privacy requirements, or strategic considerations. We advise on running open-source models on your own infrastructure or in a private cloud, and provide TCO analyses covering hardware and operating models.

How does INNOQ ensure we can continue independently after the project ends?

Our goal is enablement, not dependence. We rely on transparent, modular architectures rather than black box solutions – model-agnostic and free of vendor lock-in. We also train your teams through hands-on coaching programs such as the Agentic Engineering Accelerator.