Practical AI education for OEM and dealer executives. No theory dumps. No vendor mandates. Hands-on frameworks you deploy in your business, taught by people who understand your industry.
Two Foundational Courses
Each course stands alone. Together, they form a complete AI adoption framework for equipment-intensive organizations.
A clear, safe, practical on-ramp to AI for executives. AI is introduced as a co-pilot alongside your people, not a replacement for them.
Your AI strategy is only as strong as your data foundation. Audit, structure, and prioritize data across ERP systems, CRMs, and operational databases.
Guided Program
Self-paced learning paired with direct access to our founder and engineer. Weekly group office hours. Optional 1:1 sessions. One module per week.
Every Week
Each module is designed for executives who need clarity, not complexity. 60-90 minutes per week, with support between sessions.
Written lesson with frameworks, examples, and industry-specific scenarios. 60-90 minutes.
Reflection prompts, scorecards, and hands-on exercises you apply to your own organization.
1 hour weekly with the founder and engineer. Ask anything. Sessions are recorded.
Ask questions between sessions. Get answers from people who build AI systems daily.
Schedule private sessions for organization-specific challenges and strategy.
Certificate of Completion: AI for Equipment Leaders. Demonstrate competency to your board.
Program Outcomes
Which Path Is Right for You?
| If you are... | Start with | Then level up with |
|---|---|---|
| New to AI entirely | Course 1 — AI Adoption Without Disruption | Course 2 — Data Structuring |
| Facing messy data challenges | Course 2 — Data Structuring | Course 1 — AI Adoption |
| Ready to build a full strategy | 10-Module Guided Program | 1:1 Advisory Sessions |
| A dealer group or OEM network | Course 1 Group License | Custom co-branded program |
Enrollment
All programs include lifetime access to course materials and the alumni community.
Questions
April 2026 Cohort
Limited seats available. The April cohort begins the first week of April 2026.