When does this make sense?
Typical triggers where our consulting delivers the greatest leverage:
- →You want to use AI in testing but don't know where to start
- →AI-generated tests or test data must remain verifiable and auditable
- →The EU AI Act and compliance requirements for AI systems are on the horizon
- →Your QA practice can no longer be scaled manually — repetitive tasks eat up time
- →Initial pilots with AI tools have delivered disappointing results
Our capabilities
Request consulting →Strategy & Assessment
- Assessment of the AI maturity of your test and QA processes with a concrete business case
- Selection and integration of suitable AI tools (open source vs. SaaS), including GDPR and compliance assessment
- Risk analysis: where AI makes sense – and where it doesn't
Automation & Engineering
- Introduction of AI agents for autonomous test execution and self-healing→ Maintenance effort for UI tests typically reduced by 30–50%
- Automatic test case derivation from requirements (requirements → executable test cases)→ Test case creation typically 40–60% faster
- AI-assisted test data management and data simulation
- LLM-based code review support in CI/CD pipelines
Reporting & Enablement
- AI-assisted quality reporting, defect triaging and root cause analysis→ Defect triage typically 50–70% faster
- Training and coaching for your QA teams on working with AI tools
Project support
We support your project team on site. In the role of "AI Lead QA" we guide the introduction of AI-assisted methods in your project – from piloting to productive rollout.
Related seminars
Typical progression · 10 weeks, EU AI Act-compliant, 2–3× faster defect triage
Approach, typical impact figures and engagement scope in detail.
Frequently asked questions about AI-assisted QA
What does AI actually deliver in quality assurance?
Significantly faster test case creation, requirements analysis and reporting — pilots typically show tangible relief in day-to-day testing. Every AI result is reviewed by senior experts before it counts.
Is this GDPR and EU AI Act compliant?
Yes. Governance, documentation and data protection (including GDPR Art. 32) are built into the approach — audit-ready, including for regulated industries.
What is the best way to start?
Either with the Quick-Check (1 day, 2,500 € net) or directly with a 10-week pilot in a clearly scoped area — with measurable before/after metrics.
Will AI replace our testers?
No. AI augments your team rather than replacing it: it takes over the repetitive work while people keep judgment, decisions and accountability. Exactly this interplay is what makes the approach audit-ready.
Insights straight to your inbox
Monthly practical insights on AI-assisted quality assurance, testing and tooling – plus checklists and templates from our day-to-day consulting work, exclusively for subscribers.