Software Testing
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AI Consulting
From assessment to implementation – we support you at every stage of your AI testing journey.
Your goals and framework conditions are the foundation of our work.
AI can significantly accelerate, standardize, and scale testing processes – provided it is purposefully integrated into your existing systems and workflows. That’s exactly where our consulting comes in.

Based on your specific requirements, goals, and context, we work with you to develop an AI testing strategy that’s not based on theory, but on your reality: your architecture, your needs, and your maturity level in AI and quality assurance.
We begin with a detailed status analysis. In addition to reviewing your testing processes, we assess whether AI components like LLMs are already in use or which models should be preferred or avoided. We also evaluate your technical infrastructure, advise on hosting options like on-premise or cloud, and analyze existing and required interfaces. To support meaningful integration and expansion, we use tools such as MCP (Model Context Protocol) and A2A (Agent2Agent).
Then we define the vision: Where can AI create the most impact? Who benefits? What skills are needed?
The result: a practical, implementation-ready AI strategy that fits your QA needs – technically solid, regulation-ready, and built for real-world success.
Your customized roadmap to AI-powered testing






We help you align your testing approach with the requirements of modern AI integration.
Together, we identify where AI adds value within your existing test strategy and define a structured, realistic roadmap based on your systems, workflows, and objectives.
Common questions about AI consulting
We analyze your existing QA structure, assess technological prerequisites such as tools, LLMs, and interfaces, and develop a tailored AI strategy based on this. Implementation can include targeted training, role-specific assistants, or full AI-enabled testing frameworks.
No. We take a vendor-neutral approach. Based on your needs, we evaluate which models or tools fit best – and where it makes sense to avoid certain technologies.
We take a more strategic view of quality assurance, focusing on the meaningful and sustainable integration of AI. It's not about introducing tools – it's about combining analysis, clear goals, and tailored implementation.
Usually, yes. If your setup is solid, we integrate AI on top of it. If needed, we enhance or adjust specific parts to ensure compatibility and value.
Costs vary depending on project size and goals. After an initial free assessment, we provide you with a concrete offer including a clearly defined scope of services.
More Useful Insights About AI-Powered Testing


