Evaluating AI Tools – A Practical Framework for Testers and Leaders

**To participate in the event, please complete your free registration [here](https://shiftsync.tricentis.com/events/evaluating-ai-tools-a-practical-framework-for-testers-and-leaders-103?utm_source=ShiftSync&utm_medium=referral&utm_campaign=mp_community_global_en_2025-11&utm_term=meetup_Ind&utm_content=Ajay+Webinar)** The AI ecosystem is exploding with tools that promise to accelerate delivery, improve quality, and transform the way we work. Yet for many teams, evaluating these tools is overwhelming - flashy demos and marketing claims rarely answer the real questions: **Will this work in our context? Can it scale? Is it sustainable?** This talk presents a **structured framework** to cut through the hype and make confident, informed decisions. The framework covers **six key dimensions:** 1. capabilities, 2. inputs 3. outputs 4. LLM considerations, 5. control 6. cost transparency The framework gives testers and leaders a holistic lens to evaluate any AI solution. **Rather than prescribing which tools to use, it provides a mindset and practical checklist to guide your own assessments.** We will look at how these dimensions uncover strengths, risks, and trade-offs: from integration and extensibility, to handling data securely, to balancing automation with human oversight. The framework also highlights how to engage stakeholders, avoid vendor lock-in, and measure long-term value instead of short-term gains. Attendees will leave with clarity, structure, and confidence - equipped to evaluate AI tools objectively and ensure that the ones they adopt truly deliver meaningful impact.