AI Adoption Framework (02 of 10): Classify AI Work and Delivery

Distinguish the job AI performs, the authority it may need, and how your organization would obtain and manage it. Practice with a fictional customer-service case and a reusable classification card.
Format

Online
Course

Schedule

Self-paced

Author

Sustainable Evolution

Audio

Narration included

Duration

About 25 minutes

Price

$129.99

About the course

An AI solution has two separate classifications: the job it performs and the way your organization obtains and manages it. In this short course, you will distinguish four workload archetypes, compare delivery modes, and explain how the same AI job can create different responsibilities. Practice with a fictional customer-service initiative, a blank classification card, and a completed example.

Practical approach

Classify the AI job and delivery relationship in a connected example. Use a blank card, compare it with a completed card, and test your decisions through short practice activities.

Built for real decisions

The same customer-facing AI job can be delivered as a separate assistant or as an existing platform feature. Compare both paths before assigning ownership, integration, operational, and exit responsibilities.

For your work

Use the classification card to explain what AI would do, how it would be delivered, which responsibilities follow, and what still needs to be investigated before choosing a path.

Course Lessons

  1. Welcome — Classify AI Work and Delivery
  2. Why classification matters
  3. Name the AI job: W1 and W2
  4. Direct contact and delegated reach: W3 and W4
  5. Same W3 job, different A/B responsibilities
  6. Test C and D without forcing symmetry
  7. Assemble Example Retailer’s decision trail
  8. Build a provisional classification
  9. Practice transfer before the knowledge check
  10. Knowledge check
  11. Takeaway and next decision

Course Lessons

  1. Welcome — Classify AI Work and Delivery
  2. Why classification matters
  3. Name the AI job: W1 and W2
  4. Direct contact and delegated reach: W3 and W4
  5. Same W3 job, different A/B responsibilities
  6. Test C and D without forcing symmetry
  7. Assemble Example Retailer’s decision trail
  8. Build a provisional classification
  9. Practice transfer before the knowledge check
  10. Knowledge check
  11. Takeaway and next decision

Andy Ruth

Andy Ruth founded Sustainable Evolution to help technologists grow their skills and careers. He has designed training and certification programs and contributed to architecture and cloud frameworks. In this course, Andy guides you through a practical, platform-neutral way to classify AI work and the delivery choices that shape organizational responsibilities.