01 / THE OPPORTUNITY
Who buys—and why now
Ideal buyer
Professional-services firms and operational teams with approved AI tools but uneven skill, unclear norms, or no practical adoption plan.
Why this edge exists
Generic prompt lectures age quickly. Valuable training uses the client’s roles, approved systems, sensitive-data rules, real examples, and an adoption plan managers can reinforce.
LinkedIn’s workplace-learning research frames generative-AI adoption as a capability challenge and reports higher advanced adoption among organizations strong in career development. The outcome is safer, more confident application—not attendance.
02 / THE OFFER
Sell a result, not “AI”
A role-based sprint: discovery, pre-session baseline, 90–120 minute workshop, hands-on approved scenarios, playbook, office hours, and a 30-day adoption review.
Core deliverables
- Needs and policy questionnaire
- Role-specific curriculum
- Live workshop and safe-use checklist
- Playbook and verification rubric
- Assessment and 30-day follow-up
03 / LAUNCH PLAN
Your first five moves
- 01
Choose a role you understand
Focus on one team and learn its documents, decisions, quality bar, and prohibited data.
- 02
Run discovery
Identify approved tools, recurring tasks, failure consequences, current skill, and learning goals.
- 03
Build real exercises
Use sanitized examples to practice context, evidence checking, editing, and when not to use AI.
- 04
Teach verification
Identify claims, compare sources, test edge cases, record assumptions, and retain accountability.
- 05
Measure transfer
Use pre/post tasks, manager observation, office hours, and a 30-day review.
04 / ECONOMICS
How to package it
Charge for discovery, customization, delivery, materials, and follow-up. Pilot one team before a broader rollout.
Reality check: Income depends on skill, positioning, demand, sales, scope, and delivery. Test with a paid pilot; do not advertise guaranteed earnings.
05 / SCOREBOARD
Measure value from day one
- Pre/post task quality
- Practice completion
- Approved-tool activation
- Time saved at constant quality
- Corrections and escalations
06 / OPERATING SYSTEM
Tools and safeguards
Minimum tool stack
- Client-approved AI workspace
- Sanitized exercise set
- Facilitation tools
- Versioned team playbook
Non-negotiable safeguards
- Do not give assurances beyond your qualifications.
- Coordinate with security and policy owners.
- Never encourage bypassing controls or concealing use.
- Update examples as products change.
07 / SOURCES
Research behind this guide
Sources inform the opportunity analysis; they do not validate individual earnings claims. Review current policies before choosing tools or handling client data.
LinkedIn: 2025 Workplace Learning Report↗LinkedIn: 2024 Workplace Learning Report↗OpenAI: business data privacy↗Content history See what changed
Added page-specific social artwork, Article structured data, and record-level publication and review metadata.
First published.