AI Facilitator Training

AI transformation is cross-functional work. Deciding where AI should create value, how a workflow should change and what should actually be built requires business, operational and technical expertise to come together. Those perspectives rarely align by themselves. Someone has to structure the work, bring the right people into the room and guide the group toward clear decisions.

That is the role of the AI Facilitator.

For organisations, this may be an AI Enablement Lead, Transformation Lead or AI Champion helping different business units identify and progress AI opportunities. For AI vendors, internal IT teams and Forward Deployed Engineers, it may be the person responsible for working with a client or business team to understand the real problem, shape the opportunity and create a clear path toward implementation.

The 3-day AI Facilitator Training teaches two methods Design Sprint Academy uses in its own client work: AI Problem Framing & AI Workflow Sprint

AI Problem Framing helps teams move from scattered ideas, mandates and requests to clearly defined, prioritised AI use cases tied to business value.

AI Workflow Sprint takes one of those use cases and helps a cross-functional team understand the current workflow, redesign it around AI, define the solution and prepare it for prototyping and employee validation.

Participants practise both methods over three intensive days and learn how to facilitate them with different teams, clients and business units.

Every participant leaves with the full implementation toolkits for both methods — playbooks, detailed agendas, facilitation slides, worksheets and practitioner materials — so they can put the methods into practice immediately and repeat them across different AI opportunities.