Transform: leading the AI-shaped organisation
Workforce transition, culture and responsible AI
The leader becomes the steward of the transition. The leader becomes the steward of the transition: role evolution, honest transition conversations, responsible AI governance, culture signals and the long game. Each participant is paired with an HR partner for the workforce transition sprint. The governance strand builds leadership judgement and duty awareness and is explicitly not legal advice.
Six to eight weeks
Four live sessions and three applied sprints
Cohorts of 10 to 14
Level-specific cohorts for relevant peer learning
Priced by proposal
Starts with a scoping conversation
Why this module exists
AI adoption is a leadership practice, not a software rollout
Technology can make AI available. It cannot make a team trust the direction, understand what is changing, or know where responsible use begins and ends. That work sits with the leader. The Augmented Leader Suite is built around that reality: leaders learn in live facilitated experiences, then apply the work to their own teams between sessions.
The leader becomes the steward of the transition: role evolution, honest transition conversations, responsible AI governance, culture signals and the long game. Each participant is paired with an HR partner for the workforce transition sprint. The governance strand builds leadership judgement and duty awareness and is explicitly not legal advice.
This module is self-contained, so an organisation can commission it on its own. It also forms one part of the wider suite: Adopt builds support and momentum, Operate redesigns work around human-AI collaboration, and Transform stewards workforce transition, culture and responsible AI. Each module contributes a finished part to the Team AI Playbook, a living operating guide owned by the client.
The approach is intentionally practical. Participants bring a real team, workflow or area of accountability. They leave sessions with a deliverable to test, a peer conversation to hold and a decision about what to observe. This is not a promise of a generic uplift or a substitute for technical implementation. It is a structured way to make leadership behaviour visible while AI-enabled work changes.
Programme facts
What this module includes
| Who it is for | Senior and people leaders working with an HR partner; level-specific cohorts of 10 to 14. |
|---|---|
| Format and length | Four live sessions and three applied sprints over six to eight weeks; virtual-first with a face-to-face option, peer triads and no video or e-learning content. |
| Output | Four live sessions, three applied sprints, six to eight weeks. Virtual-first, with a face-to-face option. Builds Part Three of the Team AI Playbook. Leaders apply the work to their own real team or area of accountability; each part of the Team AI Playbook is client-owned. |
| Investment | A module cohort is priced by proposal after scoping. Separate single workshops in the Leading with AI library collection start from £850; this is not a cohort price. |
This module is not an accredited qualification or a promise of certification. If a formal credential is the priority, compare CMI's Leadership for AI qualifications at Levels 3, 5 and 7 with providers directly; this programme is designed for applied leadership behaviour and client-owned workplace outputs.
What participants practise
Objectives and outcomes
By the end, leaders can
- Construct a transformation narrative connecting AI to strategy, jobs and fairness, and test it with a sceptical workforce audience.
- Map how roles in the area may evolve over 12 to 24 months and build a skills transition plan with an HR partner.
- Conduct honest, dignified transition conversations across reskilling, redeployment and displacement.
- Apply a responsible AI governance frame to live use cases: classify risk, assure human oversight, meet notification duties and assign accountability.
- Diagnose culture signals—what gets rewarded, measured, tolerated and celebrated—and design deliberate shifts.
- Build and own a 12-month transition roadmap with reinforcement, measurement and escalation.
Evidence of application
- A transformation narrative delivered to the leader's area and tested with a workforce audience.
- A role evolution map and skills transition plan agreed with HR and sponsor.
- At least two real transition conversations held and reflected on in triads.
- Live AI use cases governance-checked, with gaps logged and escalated.
- A culture signals audit completed with deliberate shifts implemented.
- A 12-month roadmap in operation with the first quarterly checkpoint booked.
The learning journey
Four sessions, three sprints, one real context
Four live sessions, three applied sprints, six to eight weeks. Virtual-first, with a face-to-face option. Builds Part Three of the Team AI Playbook. Each session is spaced so that leaders can test an idea at work, return with evidence and use peer learning to improve the next move. Distributed practice is a deliberate design choice: Cepeda et al. (2006) found that spacing learning over time supports retention better than compressed practice.
Week 0 · milestone
Launch, readiness check and HR partner pairing
Week 1 · session
Session 1: The Transformation Narrative
Weeks 1–2 · sprint
Sprint 1: Role evolution map and skills transition plan with HR
Week 3 · session
Session 2: Honest Transition Conversations
Weeks 3–4 · sprint
Sprint 2: Hold real transition conversations, reviewed in triads
Week 5 · session
Session 3: Responsible AI Governance
Weeks 5–6 · sprint
Sprint 3: Governance-check use cases and audit culture signals
Weeks 7–8 · session
Session 4: Culture Signals and the 12-Month Roadmap
Tools leaders keep using
The module is designed to leave performance support behind, not just a memory of a workshop. Its practical tools are:
Delivery touchpoints
- Sponsor-signed transition message
- Pre-programme role-change and culture-signal map
- HR partner for every leader's workforce transition sprint
- Four live sessions (or two face-to-face days plus one virtual embedding session)
- Three applied sprints with transition, governance and culture deliverables
- Week 8–12 transfer check and first quarterly checkpoint
Start with a baseline
Diagnostic, resources and adjacent thinking
AI-Shaped Organisation Leadership Diagnostic
Assess transformation narrative, workforce transition, transition conversations, governance and culture.
Take the diagnosticLeading the AI-Shaped Organisation Reference Card
A concise reference for the behaviours, questions and practices in this module.
View the resourceLeading the AI-Shaped Organisation Development Planner
Turn diagnostic results into priority actions, a 90-day focus and accountability.
View the plannerMeasurement and evidence
Measure transfer, not just attendance
The programme starts with a diagnostic baseline and returns to observable workplace evidence. The exact measures are agreed with the commissioning organisation because the useful signal depends on the module: adoption pulse and sponsor review for Adopt; workflow metrics and team wellbeing pulse for Operate; transition metrics, governance gaps and culture signals for Transform.
That makes the outcomes above a set of evidence to work towards, not a guaranteed claim about every organisation. Growth Performance can help leaders agree what to observe before delivery, how to gather a baseline and when to review transfer. The accompanying planners support monthly practice; peer triads create a structured place to test assumptions and notice barriers.
The programme sits alongside the wider leadership development ROI approach, the 4Cs Framework and The Augmented Us. It does not claim that a diagnostic alone proves business impact, or that a training intervention can replace product, legal or workforce expertise.
Research and framework notes
The suite record draws on published evidence and frameworks including distributed practice, identity leadership, human-AI complementarity and responsible AI governance. Explore the sources and original Growth Performance material: Cepeda et al. (2006), Distributed practice in verbal recall tasks · The Augmented Us: identity leadership for AI-augmented teams · The Augmented Leader: three shifts for leaders · The 4Cs Framework.
Questions buyers ask
Frequently asked questions
Who is Leading the AI-Shaped Organisation for?+
It is for senior leaders and people leaders stewarding the structural consequences of AI: role evolution, workforce transition, governance and culture. Each participant works with an HR partner on the transition sprint.
Is this programme legal advice?+
No. The governance strand develops leadership judgement and duty awareness and helps participants identify and escalate gaps. It is not legal advice and does not replace specialist legal or employee-relations guidance.
How long does the AI transformation leadership programme take?+
The module runs for six to eight weeks with four live sessions and three applied sprints. A transfer check and first quarterly checkpoint are planned in the following weeks.
What workforce-transition work is covered?+
Participants map role evolution over 12 to 24 months, build a skills transition plan, practise conversations about reskilling, redeployment and displacement, and create a 12-month roadmap.
Can Leading the AI-Shaped Organisation be delivered virtually?+
Yes. It is virtual-first with a face-to-face option. The programme remains live and applied, with peer triads and workplace sprints rather than video content or elearning.
What resources support the programme?+
The AI-Shaped Organisation Leadership Diagnostic provides a five-dimension baseline. The Reference Card and Development Planner support follow-through with an HR partner.
Ready to discuss Leading the AI-Shaped Organisation?
Start with the context you have: the leadership population, the AI change under way and what you need people to do differently. We can use a scoping conversation to establish whether this module, the full suite or another intervention is the right fit.
Talk to us
Start with a conversation
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