Workshops
Agile Scrum product management with AI
Learn easy AI workflows to speed up and supercharge your product management process. This workshop applies agile Scrum product management methods together with AI workflows to take an idea from problem solution fit to a quick prototype in 2 days.
For teams building products, solutions or automation for internal company problems, and for teams building products for the market.
Product roles in Scrum and where AI tools speed up each stage.
How to validate the problem and quantify what we are trying to solve, including its tangible and intangible benefits. Learn how to map as-is business processes and the current customer experience journey, then define the to-be process we are trying to solve for.
How to identify competitors and existing solutions, compare their features and positioning, and agree where to differentiate.
How to build an impact matrix, then validate whether the proposed solutions and features achieve problem solution fit, deriving the hypotheses to test.
How to prioritise features and create epics, user stories and a feature backlog, then plan the prototype, MVP and roadmap releases.
How to vibe-code a prototype to test the hypotheses with users. Learn how to use coding agents to build a quick clickable prototype.
Plus how AI tools make each stage of the product management lifecycle more efficient, from discovery to prototype.
AI for businesses
From understanding the technology to a practical plan for adopting it.
For business teams and leaders. No technical background needed.
The history of AI, the subcomponents under the AI umbrella (such as machine learning, deep learning and generative AI), how they work, and where the field is heading.
Classical AI and generative AI across finance, legal, marketing, product management and HR.
Introduction to Claude, ChatGPT, Microsoft Copilot and Gemini and other Gen AI tools.
Facilitated hands on exercises on real tasks from the team. Goes beyond basic prompting, such as drafting an email, to build a working understanding of AI skills and agents: how reusable skills are designed, how agents plan and complete multi-step tasks with tools, and how to apply both to everyday business workflows.
How to spot opportunities and measure tangible and intangible benefits, and how to build a measurable framework and a prioritised use case backlog.
How to set up an AI centre of excellence in your organization, and how to encourage adoption across the company.
How organizations should approach AI ethics, and the core components of an AI ethics framework such as fairness, transparency, accountability, privacy and safety.