01 · Senior + AI: what that means in practice
We don't staff projects to be “cost-efficient” – we staff them to be effective. In practice, that means:
How we deploy senior expertise
- Lead consulting with at least 10 years of hands-on experience in QA, test or requirements management (the “17+ years” stated elsewhere refers to the company's history, not to individual consultants)
- Full ownership across the project term – no handovers to juniors after kick-off
- Direct access to your senior consultant by phone and email, including between meetings
- Coaching your staff rather than displacing them – building in-house knowledge instead of dependency
Where we use AI – and where we deliberately don't
- Test case generation from requirements with LLM support, with human-in-the-loop validation
- Defect clustering and prioritisation with AI classification; the final call stays with the senior
- Synthetic test data generation – audit-suitable and privacy-compliant
- Documentation drafting followed by senior review – not for uncontrolled delivery
- Not used: AI for safety-critical decisions without human sign-off, AI for assessing people, AI without EU AI Act documentation in regulated contexts
02 · Learning from 17 years: our methodology pipeline
Since 2009 we've captured lessons from every project: what worked, what didn't, which templates saved friction, which reporting format the board accepted. The result is a toolbox that serves as a starting point for new engagements – you don't pay to reinvent the wheel.
What's in the pipeline
- Requirements templates for user stories, acceptance criteria, non-functional requirements
- Risk coverage matrices for risk-based testing
- Reporting formats for the board, business units and audit – ready to adapt
- Escalation paths and stakeholder communication patterns from corporate and public-sector contexts
- Tool comparison matrices for test management tools, automation frameworks, CI/CD integrations
How this flows into your project
03 · Audit readiness: accreditations and standards
In DAX corporations, the public sector and regulated industries, you need to be able to demonstrate on request how and to which standards you work. We bring the evidence with us.
Our accreditations
Standards and frameworks we align with
- ISO/IEC/IEEE 29119 – Software Testing (processes, documentation, test techniques)
- ISO/IEC/IEEE 29148 – Requirements Engineering (requirements specification)
- TMMi® – Test Maturity Model integration (maturity assessment). We work TMMi-oriented; formal TMMi assessments require accredited assessors and are not part of our offering.
- BABOK® – Business Analysis Body of Knowledge (stakeholder and requirements analysis)
Legal framework we comply with
- GDPR – Art. 5 (principles), Art. 25 (data protection by design), Art. 30 (records of processing activities), Art. 32 (technical and organisational measures) and Art. 35 (data protection impact assessment) for data-sensitive test work
- EU AI Act (Regulation 2024/1689) – for AI-assisted QA: risk classification and documentation; the obligations for high-risk systems apply from 2 December 2027 following the postponement
What that means in an audit
On request we deliver: test concept templates with standard references, process mapping to ISO/IEC/IEEE 29119, a sample maturity report, anonymised reference reports, the lead consultant's profile, and AI Act documentation for AI components. For the seminars we additionally provide trainer accreditations and evidence of syllabus conformance. Your compliance team can take it over without a translation layer.
04 · How we work with you
We believe consulting quality depends on how closely the senior is actually involved in the project. There are two fixed-price entry formats (A and B) and two engagement forms built on them (C and D):