OneRange Vero

AI Change Management

Change leaders learn to plan and run organizational AI change programs. The course covers stakeholders, communication plans, handling resistance, phased rollout, and reinforcement. Learners finish able to drive adoption at scale rather than hoping it spreads.

What this course covers

Change leaders learn to plan and run organizational AI change programs. The course covers stakeholders, communication plans, handling resistance, phased rollout, and reinforcement. Learners finish able to drive adoption at scale rather than hoping it spreads.

The course runs across 7 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Mapping the AI Stakeholder Landscape — Identify and analyze key organizational stakeholders, their unique concerns regarding AI adoption, and their influence levels. Practice mapping stakeholders in a simulated leadership alignment meeting.
  • Crafting the AI Vision and Communication Plan — Develop a compelling narrative that addresses both technological benefits and human anxiety. Practice pitching the AI change vision to skeptical department heads in a simulated town hall.
  • Overcoming Resistance to AI Integration — Identify common sources of resistance, such as fear of job displacement or lack of trust in AI outputs. Navigate pushback through scenario-based conversation exercises with resistant employees.
  • Designing a Phased AI Rollout Strategy — Structure a phased implementation plan starting with low-risk, high-impact pilots. Make strategic decisions on scaling timelines and resource allocation through a simulated steering committee exercise.
  • Establishing AI Upskilling and Support Systems — Design training paths and immediate feedback loops to support employees during transition. Roleplay a coaching session assisting a team lead struggling to adapt their workflow to new AI tools.
  • Measuring Adoption and Reinforcing Change — Define key performance indicators (KPIs) for AI usage and cultural acceptance. Practice responding to adoption bottlenecks and reinforcing positive behaviors in a scenario-based performance review session.
  • Simulated AI Change Leadership Capstone — Synthesize all skills in an end-to-end simulation, navigating a sudden crisis during a major AI tool deployment. Make critical decisions under pressure to keep the project on track and maintain stakeholder trust.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Change Management, Change Impact Analysis, Change Communication, Resistance Management, Change Leadership.

  • Change Management
  • Change Impact Analysis
  • Change Communication
  • Resistance Management
  • Change Leadership

Who it is for

Change leaders, HR, ops. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Adoption & Leadership track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including role play, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a roleplay assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Related

Course code ADO-CHG.