Exploring the state and future of AI testing
WislaCode helped Verysell Group Applied AI Lab explore the current state and future of AI testing, turning uncertainty into clear, actionable insights.
This was a very task-heavy project, mostly exploration and R&D-driven. However, by the end of WislaCode, we were left with a detailed roadmap consisting of clear milestones - able to be converted into tangible KPIs - and some neat ideas of what actionable are next...
AI testing is a rapidly evolving field, with new tools, frameworks, and best practices emerging every month. Verysell Group Applied AI Lab approached us with a challenge: to map the current landscape, validate their hypotheses, and define a clear path for future R&D investments.
We conducted a comprehensive analysis:Reviewed over 40 companies working in AI testing and quality assurance.Studied 12 peer-reviewed academic papers to understand the latest research trends.Interviewed 8 industry experts from Europe, North America, and Asia.Benchmarked leading tools and methodologies for AI model validation and monitoring.Final Results: What Did We Deliver?A multi-phase roadmap for AI testing R&D, from hypothesis validation to implementation.A detailed market and technology landscape, highlighting key players and emerging trends.Recommendations for building an in-house AI testing framework tailored to the client’s needs.Actionable insights for investment decisions and risk mitigation.The client received not just a report, but a strategic plan with clear milestones, practical recommendations, and a foundation for future growth. Yurii Lozinskyi, Head of Applied AI Lab, shared positive feedback on our collaboration.
We turn open R&D into a clear, hypothesis-driven roadmap with milestones you can act on.
The first step was to bring structure to a fragmented market.
We mapped out the key players, technologies, and research directions, helping the client see where opportunities and risks lie.
We worked closely with the client’s R&D team to validate their hypotheses about AI testing bottlenecks and future trends.
This included expert interviews, literature review, and benchmarking of available solutions.
Based on our findings, we developed a phased roadmap: what to research, when to invest, and how to measure ROI at each stage.
This gave the client a clear, actionable plan for the next 12-18 months.
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