Professional learning case study

Change Management and Governance in AI Automations

Practical guidance for learners moving from building AI automations to introducing them responsibly inside an organization.

I served as the subject-matter expert, author, and on-camera instructor for this Ziplines Education module.

AI governanceChange managementOn-camera instruction

Problem

After learning how to develop automations earlier in the course, learners needed practical guidance for managing governance and organizational change.

My role

I served as the subject-matter expert, author, and on-camera instructor for the module.

What I produced

Instructional content, practical explanations, study materials, and recorded teaching that connected automation development to responsible implementation.

Evidence/result

The module consistently receives the highest NPS scores across the course.

The learning bridge

Building an automation is only the beginning.

01

Recognize impact

Look beyond technical functionality to the people, decisions, and workflows affected by an automation.

02

Apply governance

Consider oversight, accountability, risk, and the controls needed for responsible use.

03

Plan the change

Address communication, stakeholder needs, adoption, and the realities of introducing a new way of working.

04

Support adoption

Connect implementation decisions to the human judgment and reinforcement required for sustained use.

View the evidence

See the module in context.

Explore the teaching sample, supporting study guide, and the broader Ziplines AI Automation course.