Three days. Two methods.
01. Day 1 ✦ AI Problem Framing
Participants learn to guide a cross-functional team from scattered AI ideas to a shortlist of well-defined, prioritized use cases.
They practice connecting AI opportunities to business goals, understanding the people affected and the problems they face, and evaluating potential value, feasibility and data constraints.
Along the way, they learn how to structure discussions, manage different perspectives and guide teams toward decisions. The outcome is an AI Use Case Card that gives the customer’s decision-makers and the FDE team a shared basis for deciding what to pursue next.
02. Days 2-3 ✦ AI Workflow Sprint
Participants learn to guide a cross-functional team from a defined AI use case to a redesigned workflow and a clear plan for building and testing the new AI workflow.
They learn to map how work actually happens today, identify friction and bottlenecks, and redesign the workflow around business outcomes and the capabilities AI makes possible.
They then define success measures, identify technical, data and adoption risks, and turn the selected solution into a storyboard and build plan.
They also learn how to prototype and test the agentic workflow, providing evidence for a decision to scale, iterate or stop.
Participants learn by doing. The training is run as a live workshop, where participants work through both methods, practice facilitation and experience the decisions involved at each stage.
They leave with the complete facilitation toolkit — playbooks, agendas, slides and worksheets — so they can prepare and run these workshops with customer teams.
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