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AI Design Sprint

M3 Property

M3 Property is an independent property advisory firm with offices. We ran a one-day AI Design Sprint at its annual staff conference to help the firm move from AI literacy to real business outcomes. Teams redesigned their own workflows, built working prototypes in Microsoft Copilot and pitched them to leadership.

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M3 Property

RESULTS

20
Ideas
8
Pitches
2
Winners
  • Teams built working prototypes in Copilot on the day.
  • The strongest ideas now go to M3's internal team for prioritisation and development.
A wide view of the M3 Property ballroom with staff at tables and Thinking Outside the Cube on the screensSteve Glaveski on stage at the M3 Property AI Design SprintAn M3 Property team pitches its AI pilot measures to a panel of judges on stage

THE CHALLENGE

THE CHALLENGE

M3 had already given its people access to Microsoft Copilot. Leadership wanted to turn that access into real changes in how work gets done, while protecting the quality and professional standards its clients rely on. M3 asked Collective Campus to run a hands-on AI Design Sprint inside its annual staff conference on the Gold Coast, so staff could find problems in their own workflows, redesign them with AI, build working prototypes and show leadership what they built.

WHAT WE DID ON THE DAY

WHAT WE DID ON THE DAY

Steve Glaveski led the day with co-facilitator Tessa Kowaliw, with teams working in small groups at tables across the room.

  • Foundations. We opened with design thinking, lean startup, customer interviewing and jobs to be done, so teams shared a method before they touched any tools.
  • Problem discovery. Each table picked one process to focus on, mapped how the work happens today and marked the steps that cost the most time.
  • Ideation. Teams turned their problem into a how might we question, generated ideas and chose one to build.
  • Prototype sprint. Teams split so some members built a working prototype in Copilot while others built the pitch. The rule was to redesign the workflow first and then apply AI, so teams didn't layer a tool on top of a broken process.
  • Shark Tank. Teams pitched to a panel of M3 leaders, joined by Steve and Tessa.

RESULTS

RESULTS

Teams built working prototypes in Copilot on the day. Across the room they produced 20 ideas, eight teams pitched, and the panel picked two winners. The strongest ideas now go to M3's internal team for prioritisation and development. Staff designed every prototype around their own real workflows, using tools the firm already has. That gives leadership a practical, staff-owned pipeline of AI improvements to take forward.

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