Melbourne AI Business Institute
Evidence for
better AI investment decisions.
Research for CEOs and business leaders on where AI creates business value, what successful implementation requires, and how to measure the results.
Explore the research
The investment question
What changes in the business
when AI enters the workflow?
Better decisions start with a clear connection between technical capability, organisational change and commercial results.
Featured briefing · Measurement & performance
Time saved is only
the beginning.
How to distinguish AI productivity gains from capacity, cash savings and business value.
Read the briefingResearch & perspectives
Questions worth asking.
Key person risk:
what AI can—and cannot—reduce
Making knowledge accessible is one part of reducing organisational dependence. Judgement, relationships and accountability still matter.
Research perspective 01Investment & business valueBefore the pilot:
build the investment case
The questions leaders should answer before committing resources, and the evidence they should require before scaling.
Decision framework 02Implementation & adoptionA better AI tool is not yet a better workflow
Why task selection, human oversight and the way work is organised belong at the centre of implementation.
Evidence briefing 03Our research agenda
Three connected
areas of inquiry.
From the first investment decision to the evidence that an initiative is delivering.
Explore our research areas- 01
AI investment & business value
Where to invest, what to prioritise and when to wait.
- 02
Implementation & adoption
What it takes to make AI work in everyday operations.
- 03
Measurement & performance
How to establish whether an investment is working.
Melbourne AI Business Pulse
How are Melbourne businesses using AI?
An anonymous executive survey on current use, outcomes, investment intentions and barriers. No names, no company details.
For leaders making consequential decisions