Workshops

For product teams working in industries where compliance is part of the build. How AI is changing product work at every stage: discovery, prioritisation, development, testing, and rollout. How to evaluate AI tools and adopt them responsibly within your industry’s regulatory framework. What governance looks like in practice, and how to move with agility without cutting corners on compliance.

For organisations where promising proofs of concept keep dying before they reach users, or where deployed AI products are eroding goodwill because they are not fit for purpose. What it takes to move from prototype to production: feasibility, the right MVP scope, managing costs and technical risk, measuring success against the business goal, and the change management that makes the difference between a rollout that sticks and one that gets quietly abandoned.

Article 4 mandates AI literacy for everyone involved in the operation and use of AI systems. Most training ticks the compliance box without changing how anyone works. Learn how to classify the risk level of what you are building, what technical documentation and human oversight the Act requires at each tier, how conformity assessment works in practice, and how to integrate all of this into your existing product development process. The goal is teams that can ship AI products confidently within the Act’s framework.

For leadership teams who need the strategic picture without the long programme commitment. Where AI capability sits in your organisation today, what to build in-house and what to buy, how to govern it responsibly, what transformation is required to make it operational, and how to manage costs and measure return. Includes an honest view of what competitors are doing, what the regulatory trajectory looks like, and what the risk of inaction is.

For anyone who doesn’t write code but wants to understand what AI tools make possible, and how to use them responsibly. Build a working prototype in a day and see what changes about how you work, whether that’s product, research, finance, operations, or something else entirely. This goes well beyond chat: it covers prototyping, automation, and working with data in ways most people haven’t tried yet.

For organisations moving from project-based delivery to a product operating model. The session covers what changes in practice: funding teams instead of projects, building persistent cross-functional teams, measuring business outcomes rather than delivery output, letting decisions sit with the teams closest to the work, and the cultural shift that underpins it all.