AI Implementation Discovery
Find the problems worth solving with AI before you pick a tool.
Enrolling now · Intermediate · 24 hours
Free · self-paced
Start whenever you like and work through it at your own pace. Confirm your email to begin — you earn the same certificate as anyone who completes it.
Start this course free →About this course
A structured facilitation process that helps an organization find the operational problems worth solving with AI — before any tool is chosen. Cross-functional teams work through collaborative problem analysis to surface genuine inefficiencies, break down departmental silos, and build consensus on priorities. The output is a validated roadmap of prioritized challenges with realistic implementation pathways, including honest assessment of where AI is not the right answer. Delivered as a six-week engagement across four phases, drawing roughly 100-150 internal hours from 12-20 staff.
What you’ll learn
Build a comprehensive problem inventory with cross-functional impact mapping
Prioritize the five to seven business challenges worth acting on
Write problem briefs with current-state analysis and quantified business impact
Estimate ROI and implementation complexity honestly, including when to say no
Present a roadmap with resource requirements and a success-metrics framework
Who it’s for
Mid-to-large organizations exploring AI adoption, teams whose earlier AI pilots stalled, and leadership needing evidence to justify AI investment.

