Upcoming cohortAI leadership

Leading Responsible AI Transformation

For Executives

A working programme for senior leaders who need to turn AI ambition into a governed, practical change their organisation can actually adopt.

Duration
6 modules
Commitment
3–4 hours per week
Format
Online, with live cohort sessions
Language
English

Joining this programme

Places are arranged directly with us. Tell us about the challenge you want to work on and we will come back to you about fit and timing.

Commitment
3–4 hours per week
Cohort size
Limited to 24 participants
Register your interest

Tuition is confirmed as part of that conversation.

Overview

[DEMO CONTENT. NOT APPROVED CURRICULUM]

This programme is structured around one question: what will actually change at work because you took part?

Each module pairs an executive framework with a step of your own corporate capstone. You bring a real organisational challenge, and you leave with a tested proposal, a governance position and a plan the business can act on.

What you will be able to do

  • Assess where AI creates defensible business value in your organisation, and where it does not.
  • Set a data boundary and governance position your board and your regulator would accept.
  • Build and test a practical solution against a real organisational challenge.
  • Plan adoption with named owners, dependencies and 30/60/90-day actions.
  • Present evidence of workplace application rather than a completion certificate.

Who should attend

  • Senior leaders accountable for a function, business unit or transformation programme

  • Executives sponsoring AI initiatives who need to judge them credibly

  • Leaders in regulated sectors who must reconcile AI ambition with governance

Curriculum

6 modules · 1 lessons · about 14 min

  1. 1AI, Business Value and the Executive AgendaWhere AI actually creates value, how to tell a real opportunity from a demo, and what this means for your agenda.
    • Why most AI programmes do not change anythingPreview14 min
  2. 2From AI Opportunity to Business StrategyTurning a candidate opportunity into an investable proposition with a defensible business case.
  3. 3Responsible AI, Governance and RiskData boundaries, human oversight, fairness and the governance position your organisation must be able to defend.
  4. 4Leading Adoption and Organisational ChangeWhy capable solutions fail to be adopted, and what leaders do differently.
  5. 5Building and Testing the Corporate CapstoneStructured build and test cycles against your own organisational challenge.
  6. 6Implementation, Evidence and the Next DecisionImplementation planning, evidence of application and the decision your organisation makes next.

The corporate capstone

Your capstone is a structured workspace, not a final essay. You move through six milestones, and your work stays private to you unless you choose to share it.

  1. Milestone 1

    Define the challenge

    The business challenge, context and success measure.

  2. Milestone 2

    Frame the opportunity

    Current state, stakeholders and the AI hypothesis.

  3. Milestone 3

    Data and governance

    Data boundary, risks, ethics and responsible AI controls.

  4. Milestone 4

    Build and test

    The proposed solution, what you tested and what changed.

  5. Milestone 5

    Implement

    Owners, dependencies and 30/60/90-day actions.

  6. Milestone 6

    Evidence

    Intended evidence of application and the next decision.

Questions

How much time does the programme take each week?

Around three to four hours, structured so it can be completed between meetings. Lessons are short and each one ends with a specific action.

Do I need a technical background?

No. The programme is written for leaders who must judge, fund and govern AI work rather than build it.

What is the corporate capstone?

A structured workspace where you turn each stage of the programme into a practical proposal for your own organisation, challenge, governance position, tested solution and implementation plan.

Is my capstone work visible to my employer?

No. Capstone work is private to you by default. Sharing anything with faculty or a sponsor is an explicit choice you make.