ShiftSync London– QA & Software Testing Community

To participate in the event, please complete your free registration here
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.

This is a free online course, already available on ShiftSync.
Register and take the course at any time convenient for you, complete the test at the end, and receive a certificate.

Course description:
This video series introduces QA professionals to the Model Context Protocol (MCP) — a powerful way to connect testing tools, data sources, and automation workflows with AI-driven efficiency. Across ten practical sessions, you’ll learn how MCP simplifies integration challenges, streamlines test execution, enhances reporting, and makes QA assets — from databases to UI tests — more accessible and maintainable. Whether you’re looking to modernize your existing frameworks or prepare for the future of AI-assisted testing, this course gives you the knowledge and hands-on skills to bring MCP into your QA practice.