Advanced level · Module 5: AI Governance and Strategy · Lesson 4 of 4
Adoption and Measuring Value
Plan AI adoption with training and change management, and measure whether it delivers value.
In this lesson you will
- Plan adoption with training and support
- Measure value and decide to scale, change or stop
Key concepts
change managementstaff trainingvalue metricsscale or stop decisions
The lesson
Adoption fails when staff are not trained, do not trust the tool or fear for their jobs. Involve them early, train them on effective and safe use and explain how roles will change.
Measure value against a baseline: time saved per case, error rates, user satisfaction and cost — and check the work quality did not fall.
Set decision points: after a pilot, scale up, adjust or stop based on evidence.
Step by step
- Write a training plan for staff.
- Define baseline and value metrics.
- Design a pilot measurement.
- Set the scale/change/stop criteria.
Practice activity
Write the adoption and measurement plan for the capstone system.
Expected result: A plan with training, metrics, pilot design and decision criteria.
Check your understanding
-
Why measure against a baseline?
Show answer
To show whether AI actually improved the work.
-
Is stopping a pilot a valid outcome?
Show answer
Yes, if the evidence shows it does not deliver value safely.
Taught live by an instructor — online or in person. Free course lessons are for self-study and do not lead to a certificate — see registration options.