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Managing AI-Driven Change and Transformation

A practical programme for managers tasked with making AI change land — not the technology decision, but the harder human one: carrying people through disruption, redesigning how work is done, and making the change hold once the project team moves on.

At a glance3 parts · 24 live sessions · 48 CPD hours · online, in-person or hybrid|Enquire & book →
The organisational need

AI initiatives are rarely killed by the technology. They are killed in the implementation — by quiet non-adoption, by workflows that were automated without being redesigned, by people who were told change was coming but never brought into it, and by a change that fades the moment the project sponsor’s attention moves elsewhere. The board approves the investment; the manager in the middle has to make it real.

This programme equips managers to lead the human and organisational side of AI-driven change. It treats adoption as a leadership problem rather than a rollout plan: understanding why people resist, redesigning work so the tool genuinely helps, communicating through uncertainty, and building the habits and accountability that make change hold. It draws directly on Impact Thinking’s research on why change doesn’t hold and the conversational moves that make execution real.

Structure
3 progressive parts
Sessions
24 live · 48 CPD hours
Delivery
Online · in-person · hybrid
Fit & outcomes

Who it’s for — and what you’ll be able to do

Who it’s for

  • Line and department managers leading an AI rollout
  • Transformation and change leads
  • Programme and project managers
  • Operations managers
  • HR, OD and L&D partners supporting AI change
  • Anyone responsible for making AI adoption land

What you’ll be able to do

  • Diagnose where AI-driven change will actually meet resistance, and why
  • Redesign workflows and roles around AI so the change improves the work rather than just automating it
  • Communicate through uncertainty in a way that holds trust and surfaces real concerns
  • Build genuine commitment rather than surface compliance to an AI rollout
  • Embed new ways of working so they survive after the project team leaves
  • Produce a change plan that names owners, measures and the specific conversations that make it stick
The three-part programme

What happens in each part

Eight live two-hour sessions per part — sixteen learning hours per part. Take one part on its own, or progress through the full pathway — each part ends with a practical output your organisation keeps.

Part One

Understanding AI-Driven Change

Why AI change is different, and where it really succeeds or fails.

Output · AI Change Readiness & Resistance Map

01
Why AI Change Is Different From Other Change

What is genuinely new about AI-driven change, and what is the same old change problem.

02
Where AI Initiatives Actually Fail
03
Reading Resistance Honestly

Distinguishing fear, rational objection, and legitimate warning in what looks like resistance.

04
The People Side of an AI Business Case
05
Mapping Stakeholders and Impact
06
Surfacing the Quiet Non-Adoption Risk
07
What ‘Ready’ Actually Looks Like
08
Mapping Your Change Readiness and Resistance

A clear-eyed read of where this change will meet friction, and why.

Part Two

Leading the Transition

The practical work of carrying people and workflows through the change.

Output · AI Transition & Workflow Redesign Plan

01
Redesigning Work, Not Just Automating It

Making the tool improve the job rather than hollow it out or bolt onto a broken process.

02
Communicating Through Uncertainty
03
Building Commitment Rather Than Compliance
04
Involving the People Who Do the Work
05
Managing the Dip in Performance and Morale
06
Handling Difficult and Powerful Resistors
07
Quick Wins, Evidence and Momentum
08
Building Your Transition and Redesign Plan

Sequencing the change, with owners and the conversations that carry it.

Part Three

Making the Change Hold

Embedding new ways of working so they survive after the attention moves on.

Output · Change-That-Holds Roadmap

01
Why Change Fades — and How to Prevent It

The predictable ways AI change unravels once the project ends, and how to design against them.

02
Embedding New Habits and Defaults
03
Accountability After the Project Team Leaves
04
Measuring Adoption, Not Just Deployment
05
Leadership Behaviours That Sustain Change
06
Continuous Improvement and the Next Iteration
07
Culture, Trust and the Appetite for the Next Change
08
Building Your Change-That-Holds Roadmap

Bringing embedding, accountability and measurement together.

How it’s delivered

Practical throughout

Every session combines short expert input with facilitated discussion and applied practice: real public- and private-sector cases, decision-making exercises, role plays and simulations, peer coaching and workplace application. Cases reflect the constraints managers actually face — limited resources, organisational politics, competing stakeholder interests and incomplete information.

Between sessions, peer-coaching groups, facilitator-led clinics and sponsor check-ins keep the learning attached to genuine organisational challenges rather than theory in isolation.

Assessment is practical throughout — no formal examinations. Evidence includes case analysis, completed templates, workplace application tasks, peer feedback and the final plans and roadmaps. A CPD certificate is available for each part where applicable.

What participants take away

Outcomes

Fees

Ways to take part

Open cohort · per person
£1,450 per part · £3,950 full pathway
In-house · your organisation
From £8,500 per part · from £22,500 full programme
Cohort size
Up to 16 participants in-house

In-house delivery is tailored to your organisation and the change you are actually leading, and becomes the better value from around five participants. Bespoke versions, single parts and multi-cohort rollouts are all available — tell us the context and we’ll shape it to fit.

Frameworks & references · Impact Thinking research on why change doesn’t hold · Kotter and Heath & Heath on organisational change · Flores on commitment and coordination · OECD AI Principles · established change-management practice

Go deeper
Questions

Frequently asked questions

Is this a technical AI course?

No. It is a change-leadership programme for managers making AI adoption land with their people. It covers resistance, workflow redesign, communication and embedding change — not how to build or operate AI tools.

Who is this programme for?

Line managers, transformation and change leads, heads of department and programme managers responsible for the human side of an AI rollout. No technical background is required.

How is the programme delivered — online, in-person or hybrid?

It runs online, in-person or hybrid, in-house or as an open cohort. The structure is three progressive parts, 24 live sessions and 48 CPD hours; you can take a single part or the full pathway.

How much does the programme cost?

Open-cohort places are £1,450 per part or £3,950 for the full pathway, per person. In-house delivery starts from £8,500 per part and from £22,500 for the full programme. Contact us for cohort dates and organisational pricing.

Is there a certificate or CPD accreditation?

Yes. A CPD certificate is available for each part, and the full programme carries 48 CPD hours. Assessment is practical throughout, with no formal examinations.

Can you run this in-house for our organisation?

Yes. In-house delivery is tailored to the change you are leading and is usually the better value from around five participants. Single parts, the full pathway and multi-cohort rollouts are all available.

Related programmes & reading

Bring this programme to your organisation.

To discuss dates, in-house delivery or enrolling a team, get in touch. We’ll help you choose the right starting point — a single part or the full pathway — and tailor it to your context.

Enquire & book →   info@impactthinking.co.uk