The questions everyone asks.

Not with the tool, but with the foundation: what are you allowed to do (GDPR, EU AI Act), what do you need (policies, responsibilities), where is it worth it (process analysis)? That is exactly what stage 1 of our approach settles. Our readiness check gives you a first indication in five minutes — free, with no data transferred.

Honest answer: not everywhere. AI carries where processes are digital, recurring and data-rich — in engineering, for instance, reviews, test case creation and pipelines. Where that is not the case, we tell you in the initial consultation, before you spend money. Our business model is the long-term support of working systems, not the quick project.

The governance foundation takes weeks, not months. A bounded pilot in the development process is typically productive in four to eight weeks. Company-wide expansion is then a question of prioritisation and your pace — we work in stages so every step delivers value on its own.

The initial consultation costs you nothing but an hour. After that, the scope depends on your goal: a readiness analysis is a manageable fixed-price package, an engineering pilot a project of weeks, a company-wide rollout a programme. You receive a concrete offer with a clear scope before every stage — and can stop after any of them.

Only if you decide so — and never uncontrolled. Our principle is self-hosted first: sensitive data, engineering knowledge and customer data stay on your infrastructure or in German data centres under your contract. Where cloud AI is the better choice, with a sound legal basis, a data processing agreement, and no training of third-party models with your data.

Self-hosted means: the AI models run on servers you control — instead of at a US provider. You do not need it everywhere: for uncritical tasks, cloud AI is often more economical. For trade secrets, development data and personal data, control over the infrastructure is the cleanest path. We build both and recommend per use case — not per ideology.

No — that is the point. We integrate AI into the tools your teams use today: Polarion, Codebeamer, Jira, Git, Jenkins, GitLab, Confluence, Artifactory — and many more, from DOORS through SonarQube to VectorCAST. No two companies run the same toolchain; the integration follows your process, not the other way round. A parallel system nobody looks into is the surest way to bury an AI adoption.

Nothing is worse than an AI agent doing unforeseen things — so we do not build any. Our AI processes run deterministically: an unambiguous task, a defined scope, defined gates and clear handovers to humans. No system that finds its own tasks. As engineers we treat it like any machine: behaviour you cannot predict is not a feature, it is a defect.

Yes, but a solvable one. When AI is used uncontrolled through private accounts (shadow AI), design knowledge or customer data quickly flow into third-party models — bypassing IT, data protection and governance. The answer is not a ban but order: we bring the usage into the company, with approved tools, clear guardrails and — where needed — self-hosted. That turns shadow AI into a controlled, productive use you can be accountable for.

Less than many fear — and we clarify it upfront. We work in direct exchange with your IT from the start: we embed the solution cleanly into your permissions, data-protection and infrastructure landscape and surface constraints — compute, network, access rights — before they become a bottleneck. This holistic approach, from every stakeholder down to the infrastructure, is exactly what AI governance means in practice.

Both — that is our core promise. We analyse, design, implement and support from one team. You do not get a slide deck with recommendations, you get running systems with documented processes. And we stay accountable for as long as they run.

Faster than most expect — because nobody starts from zero. We bring a structured approach and the experience from our own AI-led operation directly to the table and pick up every team where it stands: development, test, project management, leadership and IT, with training and best-practice playbooks. That way the value comes early, instead of after months of self-teaching. The goal is a team that masters AI as a matter of course — not a handful of tools nobody operates properly.

That is when the most important part begins. AI systems need monitoring, care and further development — models age, regulation changes, your processes grow. Our support covers operations, audit support, further development and training, with one fixed contact person. Service comes first with us.

A fair question — and our answer is built, not claimed: everything we deliver is documented, traceable and operable without us. Your team is trained, not made dependent. You stay capable of acting at all times — with us that is a design criterion, not a concession. And the flip side of size: with us, the certified AI officer who built your system talks to you — not the junior consultant the big firm sends after the contract is signed.

Our focus is the greater Munich area — we are convinced process work needs presence, especially at the start. For companies beyond that we find a model of on-site visits and remote work, depending on the project. Asking costs nothing.