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

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.

Also in this track

All AI Leadership training courses →
Leading Teams Through AI Adoption — People managers and team leads learn to guide their team through adopting AI in daily work. The course covers setting vision and expectations, redesigning workflows, coaching, addressing fear, and building momentum. Participants finish able to turn AI from a curiosity into a habit on their team.
Running Effective AI Pilots — This course turns AI experimentation into disciplined pilots: tight scope, defined metrics, and honest go/no-go readouts. Learners design a pilot plan for a real use case in their org.
Navigating AI Job-Change Anxiety — A candid course for leaders on the human side of AI adoption: acknowledging real change, holding honest role conversations, and building reskilling paths. Learners practice the hard conversations in role-play.
Board-Level AI Literacy — Governance-grade AI fluency for boards and the C-suite: enough technical grounding to oversee strategy and risk credibly. The course centers on the questions directors should ask and the answers that should worry them.
Running an AI Champions Program — Enablement and program leads learn to stand up and run an internal AI champions network. The course covers selecting champions, enabling them, building community, running feedback loops, and scaling. Learners finish able to grow grassroots AI capability across the org.
AI Adoption Leadership Assessment — Measures whether a leader can identify use cases, plan a pilot, set guardrails and judge results.
Manager's AI Leadership Program — Lead a team's day-to-day AI adoption

Frequently asked questions

How long does this course take?

It runs 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.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. 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.

Course code ADO-CHG.