Adopt · The Augmented Leader Suite

Adopt: leading AI adoption

Building support and momentum in your team

The leader becomes the credible champion of AI in their team. The leader becomes the credible champion: narrative, visible role modelling, psychological safety, support conversations and team norms. This module deliberately does not repeat tool training; it develops the leadership behaviours that convert tool availability into embedded team practice.

Talk to us about this programme Take the free diagnostic

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 credible champion: narrative, visible role modelling, psychological safety, support conversations and team norms. This module deliberately does not repeat tool training; it develops the leadership behaviours that convert tool availability into embedded team practice.

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.

What participants practise

Objectives and outcomes

By the end, leaders can

Construct and deliver a credible team narrative about AI adoption that addresses role uncertainty honestly and survives sceptical challenge.
Model visible, regular AI use in leadership work, sharing successes and failures deliberately.
Apply psychological safety practices to design and run team AI experiment cycles with explicit permission to fail.
Diagnose each team member's adoption readiness and hold tailored one-to-one support conversations.
Co-create team norms for responsible AI use covering data, quality assurance, disclosure and escalation.
Build and operate a 90-day reinforcement plan covering recognition, measurement and barrier escalation.

Evidence of application

A team narrative delivered and refined in response to team reaction.
The leader's AI use visible weekly, with at least one failure shared openly.
Two or more team experiment cycles, each with a whole-team debrief.
Support conversations held with every team member, prioritising those previously avoided.
Team AI norms co-created, agreed and in visible use.
A 90-day reinforcement plan live, with systemic barriers logged and escalated to the sponsor.

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 One 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 communications, readiness check and pre-programme reflection

Week 1 · session

Session 1: The Leader's Adoption Mandate

Weeks 1–2 · sprint

Sprint 1: Personal AI working week plus draft team narrative

Week 3 · session

Session 2: Making Experimentation Safe

Weeks 3–4 · sprint

Sprint 2: Run the first team experiment cycle

Week 5 · session

Session 3: Support Conversations and Team Norms

Weeks 5–6 · sprint

Sprint 3: Adoption conversations plus team norms agreement

Weeks 7–8 · session

Session 4: Embedding and Sustaining Adoption

Tools leaders keep using

The module is designed to leave performance support behind, not just a memory of a workshop. Its practical tools are:

Adoption Narrative BuilderTeam Experiment Protocol cardReadiness Spectrum Diagnostic and Conversation GuidesTeam AI Norms Canvas90-Day Reinforcement PlannerAdoption Pulse instrument

Delivery touchpoints

Sponsor-signed launch message
Four live sessions (or two face-to-face days plus one virtual embedding session)
Three applied sprints with real-team deliverables
Peer triads meeting between sessions for 45 minutes
Facilitator office-hours drop-in
Week 8–12 transfer check with pulse measure and sponsor review

Start with a baseline

Diagnostic, resources and adjacent thinking

AI Adoption Leadership Diagnostic

Assess adoption mandate, role modelling, experimentation, support conversations and sustaining adoption.

Take the diagnostic

Leading AI Adoption Reference Card

A concise reference for the behaviours, questions and practices in this module.

View the resource

Leading AI Adoption Development Planner

Turn diagnostic results into priority actions, a 90-day focus and accountability.

View the planner

Leading AI adoption in your team The four psychological stages of AI adoption The Augmented Leader: three shifts Compare all three modules

Measurement 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 AI Adoption for?+

It is for team leaders and people managers who need to turn AI availability into responsible, supported team practice. Participants bring a real team context rather than learning generic tool features.

How long does the AI adoption leadership programme take?+

The module runs over six to eight weeks: four live sessions, three applied sprints and continuing peer support. A transfer check takes place in weeks 8 to 12.

Is this an AI tools training course?+

No. The module develops the leadership behaviours that make adoption stick: credible narrative, visible role modelling, safe experimentation, support conversations, team norms and reinforcement. It does not repeat tool training.

Can Leading AI Adoption be delivered virtually?+

Yes. It is virtual-first and can also be delivered with a face-to-face option. The learning remains live and applied rather than video-based or elearning.

What diagnostic and resources support the programme?+

The AI Adoption Leadership Diagnostic provides a five-dimension starting point. Participants can then use the Leading AI Adoption Reference Card and Development Planner, alongside the programme's adoption tools.

How much does the programme cost?+

The module is priced by proposal, beginning with a scoping conversation. We do not publish a generic suite price because scope and context are agreed with the commissioning organisation.

Ready to discuss Leading AI Adoption?

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 0207 205 2532

Evidence in context