Jonathon Wright

This immersive workshop is designed for AI professionals, testers, and developers who are eager to leverage the cutting-edge capabilities of AI to enhance their testing strategies, automate processes, and uncover bugs with unparalleled accuracy. By blending theoretical knowledge with practical exercises, participants will gain firsthand experience in harnessing the power of AI-Augmented to transform their approach to testing, making it more efficient, effective, and innovative. Throughout the workshop, attendees will explore the core concepts of generative AI and its application, including how to generate comprehensive test cases that cover every conceivable scenario and how to use AI to identify bugs in the most unexpected places. The workshop will also delve into the nuanced art of prompt engineering tuning, teaching participants how to craft effective prompts that guide AI in performing highly specialized testing tasks. Through a series of hands-on exercises, interactive sessions, and live demonstrations, attendees will learn how to integrate these AI-powered tools and techniques into their daily workflows, elevating the quality of their testing and the products they help to create. Key takeaways: Elevating Roles with AI: Understand how AI-augmented transforms the role of testers from routine task executors to strategic problem solvers. Learn how can leverage AI to focus on more complex, creative, and strategic aspects, thus elevating their role and value within development teams. Mastering AI-Augmented : Learn how to utilize AI-driven technologies to automate and enhance your processes. Gain hands-on experience with tools that enable you to generate comprehensive requirements, tests and code and automate complex scenarios, significantly improving efficiency and coverage. The Art of Prompt Engineering: Acquire skills in prompt engineering and fine-tuning, enabling you to craft effective prompts that guide generative AI in performing highly specialized testing tasks. Learn how to tailor these prompts to your specific needs, unlocking new dimensions of test engineering capabilities and enhancing your creatively and thoroughly.

This immersive workshop is designed for AI professionals, testers, and developers who are eager to leverage the cutting-edge capabilities of AI to enhance their testing strategies, automate processes, and uncover bugs with unparalleled accuracy. By blending theoretical knowledge with practical exercises, participants will gain firsthand experience in harnessing the power of AI-Augmented to transform their approach to testing, making it more efficient, effective, and innovative. Throughout the workshop, attendees will explore the core concepts of generative AI and its application, including how to generate comprehensive test cases that cover every conceivable scenario and how to use AI to identify bugs in the most unexpected places. The workshop will also delve into the nuanced art of prompt engineering tuning, teaching participants how to craft effective prompts that guide AI in performing highly specialized testing tasks. Through a series of hands-on exercises, interactive sessions, and live demonstrations, attendees will learn how to integrate these AI-powered tools and techniques into their daily workflows, elevating the quality of their testing and the products they help to create. Key takeaways: Elevating Roles with AI: Understand how AI-augmented transforms the role of testers from routine task executors to strategic problem solvers. Learn how can leverage AI to focus on more complex, creative, and strategic aspects, thus elevating their role and value within development teams. Mastering AI-Augmented : Learn how to utilize AI-driven technologies to automate and enhance your processes. Gain hands-on experience with tools that enable you to generate comprehensive requirements, tests and code and automate complex scenarios, significantly improving efficiency and coverage. The Art of Prompt Engineering: Acquire skills in prompt engineering and fine-tuning, enabling you to craft effective prompts that guide generative AI in performing highly specialized testing tasks. Learn how to tailor these prompts to your specific needs, unlocking new dimensions of test engineering capabilities and enhancing your creatively and thoroughly.

As artificial intelligence moves beyond traditional automation and generative capabilities, ensuring AI’s reliability, transparency, and ethical integrity becomes a pressing challenge. This session introduces AI-Assurance, a new paradigm for validating and governing Agentic AI systems, which leverage Computer Use Automation (CUA), Chain of Thought (CoT), and GraphRAG architectures to enhance model-driven decision-making, self-learning, and adaptive agent-based CUA execution. Building on decades of advancements in cognitive engineering, AI and automation,, this talk explores how large action models (LAM), large vision models (LLaVA) and AI-driven software agents are redefining productivity & assurance across the software development lifecycle (SDLC). Attendees will gain insights into the evolution of building AI-infused system methodologies, the shift from traditional process automation to autonomous AI agents, and the role of governance models like ISO 42001 and AI risk compliance frameworks (AI TRiSM / ISO / NIST). Key topics include: Agentic AI and the Future of AI-Augmented Workflows – How AI systems move from passive assistance to active moral decision-making. GraphRAG and Chain of Thought Reasoning – How structured AI reasoning enhances software quality, transparency, and compliance. CUA and Large Action Models – The emergence of autonomous, neuro-symbolic, AI agents for real-time computer use execution. AI-Assurance in the Age of Regulation – Navigating compliance, ethical AI governance, and risk management frameworks. This session is essential for AI practitioners, modern software development, and business decision-makers seeking to integrate AI-Assurance governance into their AI-productivity or AI-workforce workflows while avoiding bans from emerging AI liability laws and EU AI Act compliance mandates.