What you'll learn
Measure AI by Business Impact: Tie AI initiatives to revenue, retention, margin, cash flow, or throughput instead of generic productivity gains.
Prioritize Revenue Workflows: Find the bottlenecks, handoffs, and translation loss that slow customer value, then apply AI where it improves flow.
Build Shared AI Context: Create reusable markdown files, instructions, and shared context systems that keep people and AI working from the same source of truth.
Productize Repeatable Work: Design repeatable AI jobs, skills, and agents around clear outcomes, constraints, inputs, tools, and success criteria.
Lead AI-Native Teams: Set operating principles, review rhythms, and adoption rituals that make AI useful without flooding leaders with low-value output.
Skills you'll gain:
Instructors:

Lauren Vriens
Core modules:
Revenue-Driven AI Leadership
AI-Native Operating Models
AI-Native Team Workflows

