How well is your QA prepared for AI?
A compact assessment over one to two weeks. Six dimensions that show where your team, your processes, and your governance stand on AI use in quality assurance — with prioritised recommendations as a roadmap into deeper advisory.
Request a readiness check→Four reasons to start in a structured way.
Compact format
One to two weeks, lean interviews, light load on the team. Designed as an entry point, not as a deep audit.
AI-specific dimensions
Use-case understanding, tool maturity, skills, data foundation, governance, integration — derived from experience, not from a textbook.
Clear recommendations
The result is a scorecard with prioritised recommendations for consulting, workshops, or direct rollout.
Entry into AI advisory
The check opens the door to fitting next steps — testing of AI, testing with AI, AI compliance, or education.
Six perspectives on your AI maturity.
Use-case understanding
Is it clear where AI can be used meaningfully in your QA? Does the team distinguish hype topics from real levers?
Tool maturity
Which AI tools are already in use, at what maturity? How targeted is the tool selection?
Team skills
Prompting, output evaluation, governance literacy. Are the competences for AI-supported work in place?
Data foundation
Are your test data fit for AI use? How do quality, availability, and data-protection clarity look?
Governance maturity
Policies, guidelines, reporting paths. Is the frame for responsible AI use set and lived?
Process integration
How well are AI tools integrated into your QA processes, CI/CD, and review rituals? How well do they mesh?
From kick-off to result.
What we work with.
Maturity model
Six dimensions on a three-level scale, pragmatically scored and reasoned.
Interview guide
Structured questions per role — test, development, compliance, leadership.
Setup checklists
Review grid for tool landscape, data foundation, and process integration.
Prioritisation matrix
Action areas scored by value contribution and effort.
Roadmap template
Mapping to consulting, education, or services as the next step.
Result report
A compact document with scorecard, comments, and recommendations.
What we are often asked.
How is this different from the Quality Health Check?
The Quality Health Check assesses QA as a whole — requirements, test strategy, automation, release, governance, culture. The Readiness Check focuses exclusively on AI use in QA and assumes less prior knowledge.
How deep can the check go in one to two weeks?
Deep enough to clearly prioritise action areas. Not deep enough to already work out concrete tool recommendations or policies — that is the job of the next steps.
What happens after the result presentation?
You get the roadmap and decide which next steps to take. We accompany further or step back here — both are legitimate.
Does this make sense if we are not yet using AI?
Especially then. The Readiness Check shows where you have the biggest levers at the entry point and where to invest first — team, data, governance, or tools.
How does this connect with AI compliance?
The governance dimension is part of the Readiness Check. For serious gaps we point to deeper advisory in AI Compliance for AIMS rollout per ISO 42001.
AI readiness in one to two weeks.
Scorecard across six dimensions. Prioritised recommendations. A clear roadmap for the next steps.
Request a readiness check→Maybe a different pillar fits your situation better.
Quality Consulting
Strategie, Methodik, Frameworks für belastbare Qualität. Audits, Konzepte, AI-Compliance.
→Quality Services
Operative Test-Manpower, Interim-Testmanagement und Vermittlung aus dem Fachnetzwerk.
→Quality Education
Workshops, Schulungen und 1:1-Coaching für Test-, Projekt- und KI-Compliance-Themen.
→CT Map
Übersicht aller drei QCT-Säulen mit Wegweiser zu deinem passenden Einstiegspunkt.
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