Operate · The Augmented Leader Suite

Operate: leading augmented teams

AI capability and human-AI working

The leader becomes the designer of augmented work. The leader becomes the designer of augmented work: task allocation, workflow redesign, orchestration and verification, decision rights and team wellbeing. Participants bring one real team workflow they own and have authority to change.

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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 designer of augmented work: task allocation, workflow redesign, orchestration and verification, decision rights and team wellbeing. Participants bring one real team workflow they own and have authority to change.

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

Apply a structured complementarity frame to allocate tasks across humans and AI, with explicit reasoning about nuance, stakes, empathy and accountability.
Redesign a real workflow end to end around human-AI collaboration and pilot it with the team as a co-design.
Brief AI tools and agents with clear intent and quality bars, decompose complex work and coordinate across tools where relevant.
Design and run a proportionate verification regime using a stakes-based approach.
Agree explicit team decision rights: where AI acts, recommends or humans decide, and who is accountable.
Quantify capacity released by augmentation and reinvest it into higher-value work while monitoring wellbeing, skill maintenance, meaning and fairness.

Evidence of application

One real workflow redesigned, piloted and running in live operation, with before and after states documented.
Delegation briefs and the verification stakes ladder adopted by the team.
Team decision rights written down and visible, with named human accountability for consequential outcomes.
Capacity released by the redesign quantified and committed to named higher-value work.
An augmented team health check run, with actions taken on findings.
Workflow metrics improved with no deterioration in the team wellbeing pulse.

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 Two 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 choose the real workflow to redesign

Week 1 · session

Session 1: Designing Human-AI Complementarity

Weeks 1–2 · sprint

Sprint 1: Task allocation audit of one real team workflow

Week 3 · session

Session 2: Redesigning the Workflow

Weeks 3–4 · sprint

Sprint 2: Pilot the redesigned workflow with the team

Week 5 · session

Session 3: Delegation, Orchestration and Verification

Weeks 5–6 · sprint

Sprint 3: Agree decision rights and run the augmented team health check

Weeks 7–8 · session

Session 4: Capacity Reinvestment and Team Health

Tools leaders keep using

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

Human-AI Task Allocation FrameWorkflow Redesign CanvasDelegation Brief templateVerification Stakes LadderTeam Decision Rights CanvasAugmented Team Health Check and Capacity Reinvestment Planner

Delivery touchpoints

Sponsor-signed launch message naming the workflow
Pre-programme workflow audit
Four live sessions (or two face-to-face days plus one virtual embedding session)
Three applied sprints redesigning and piloting real work
45-minute peer triads between sessions
Week 8–12 review of workflow metrics and wellbeing pulse

Start with a baseline

Diagnostic, resources and adjacent thinking

Augmented Team Leadership Diagnostic

Assess task allocation, workflow redesign, orchestration, decision rights, capacity and wellbeing.

Take the diagnostic

Leading Augmented Teams Reference Card

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

View the resource

Leading Augmented Teams Development Planner

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

View the planner

From manager to agent boss Psychological safety in AI-augmented teams AI fluency and orchestration 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 Augmented Teams for?+

It is for leaders who own a team workflow and have enough authority to redesign it. Participants may be team leaders, managers or senior leaders working across human and AI-enabled delivery.

What does the augmented teams programme produce?+

Participants redesign and pilot one real workflow, create decision rights and verification practices, quantify released capacity and run an augmented team health check. The work becomes Part Two of the Team AI Playbook.

How long does Leading Augmented Teams take?+

The module runs across six to eight weeks with four live sessions and three applied sprints, followed by a week 8–12 transfer review of workflow metrics and team wellbeing.

Does the programme teach specific AI products?+

No. It focuses on task allocation, workflow redesign, delegation, orchestration, verification and accountability. The methods are designed to remain useful as tools and agents change.

Can it be delivered virtually or face to face?+

Yes. Delivery is virtual-first with a face-to-face option. A face-to-face version can use two workshop days plus a virtual embedding session.

What diagnostic and resources are included?+

The Augmented Team Leadership Diagnostic provides a five-dimension baseline. The Reference Card and Development Planner support continued practice after the live module.

Ready to discuss Leading Augmented Teams?

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