Most AI initiatives start by automating part of the workflow that already exists. One step becomes faster, but the handoffs, workarounds, legacy systems and unnecessary approvals around it remain unchanged. The result is often a technically successful pilot that has little effect on overall cycle time, cost or quality.
The AI Workflow Sprint takes a different approach. It starts with a validated AI use case and brings together the people who do the work, the people who understand the technology and the people who own the decision. The team maps how the workflow actually operates today, redesigns it around what AI makes possible, defines how people and AI should work together, and creates the evidence needed to decide what should move forward.
This training teaches participants how to facilitate that process themselves. Over two intensive days, they practise the Discovery and Design phases of the AI Workflow Sprint in full, using a real workflow and working cross-functionally. They also learn how to scope and lead the Build and Test phases, including how to create a realistic AI prototype and validate the redesigned workflow with the employees who will actually use it.
Design Sprint Academy teaches what we practice. We use the AI Workflow Sprint ourselves with enterprise teams to redesign real workflows around AI. Participants learn from that practical experience: where cross-functional teams get stuck, how to surface technical, data and adoption risks early, and how to guide the group toward a clear decision rather than simply generating ideas.
Every participant leaves with the full implementation toolkit: AI Workflow Sprint Playbook, detailed agendas, facilitation slides and worksheets. The goal is that your organisation can apply the method repeatedly across teams and business units without depending on Design Sprint Academy to facilitate every sprint.
