Otago Business School · AI Leadership Residency

The Programme

Two days, in the room. Cohorts 2 and 3, 2026.

"Artificial intelligence is a leadership, workflow and governance issue before it is a technical one."

What it is

AI executive education, designed differently. A two-day in-person residential for senior leaders, capped at 20. Not tools training. We start where the scarce work actually is: where each leader stands on AI, what stays human, where AI leads, and what they are willing to bet on.

"Often content like this for exec education is pitched too low-level. This one was spot on."

Luke Taylor, CEO, SSS

The two cohorts

Cohort 2
5–6 August 2026
Queenstown Resort College · 20 places · $5,000 + GST
Enrolling
Cohort 3
16–17 September 2026
Queenstown Resort College · 20 places · $5,000 + GST
Nearly sold out

The two days

Day one

Morning

KeynoteOpening · what's happening out thereKristine Dery · MIT CISR

The landscape and the frontier, to set the horizon for the two days. Professor Kristine Dery (MIT CISR and Macquarie Business School) on what she is seeing across the field, and where it is heading.

In conversationPeople, and leading through changeSarah Bellett · One NZ

How a large organisation manages the people experience of AI change. Professor Kristine Dery introduces One NZ; Rachel facilitates a Chatham House conversation with Sarah Bellett, Head of People Experience at One NZ. Said in the room, stays in the room.

CoreStance · personal and organisationalRachel McBride · Faculty

Where the Residency does its real work. Each leader sets their own stance on AI, then the organisational stance alongside it. This is the start of the SBEG spine the Pilot proved: Stance, then Bets, then Execution, then Guardrails.

CoreJudgement, and what leadership meansRachel McBride · Faculty

What stays human when the tools get good. Judgement as disciplined curiosity: the context you bring before the work, the quality you hold during it, the frontier you reach for after. It follows from stance.

Afternoon

PatternsTool patterns that change the workHenry Martin · Faculty

Past the demos, to the patterns that actually move how the work happens. Where AI earns its place, and where it does not.

PracticeBuild one, liveHenry Martin · Faculty

Each leader builds a working tool on the spot, here on this hub. Pick one to take away:

Research assistant
Reads, gathers, synthesises for you.
Comms expert
Drafts and reviews in your voice.
Strategic adviser
Pressure-tests a decision before you make it.
Organiser / PA
Holds the admin so you hold the judgement.

Built live, kept after. You leave with a tool that runs, not notes about one.

LessonsWhy change sticks, or revertsHenry Martin · Faculty

AI is a change project, not a technology project. What makes it hold: aim at what matters most, pair your champions with the people who own the work, and check weeks later whether it stuck or quietly reverted.

Deep diveInside a firm that's actually building itAaron Kenny · Dairyworks

Aaron Kenny at Dairyworks is building, not just sponsoring: a leader in the work himself, a champion in every function, the people who learn it teaching the next ones. What he did to make AI change hold, and what carries across to your business.

Day two

Morning

PanelCohort 1, on the groundCohort 1 alumni

Leaders from the first cohort come back, across different sectors and vantage points, on how putting change into their businesses is really going. The honest version, not the highlight reel.

ExerciseThe barrier wallRachel McBride · Faculty

Name what will actually stop you: data, governance, people, budget, tech, competing priorities. Each gets a specific action and a name against it. Not "sort out data" but "book the meeting by Friday."

BuildYour project to take forwardThe cohort

Each leader shapes a real project to carry out of the room. The measure of success is not what was produced in Queenstown, but what is still running three months later.

PitchesPresent it to the roomThe cohort

Each leader pitches their project. The room sharpens it, and commits to it.

What you leave with

1
The conversations in the room. Everything else follows from these.
2
Your AI stance, personal and organisational.
3
A project already moving, and a working tool you built.

How the room works

Faculty and guests

Faculty: Rachel McBride and Henry Martin.

Guests: Professor Kristine Dery (MIT CISR · Macquarie Business School), Sarah Bellett (One NZ), Aaron Kenny (Dairyworks), and alumni from Cohort 1.

Be part of this conversation.

Book your place in Cohort 2 or 3, or find out more.

Book your place or find out more
As of

Last updated: 10 June 2026

This page is kept current. When the programme changes, it changes here.