MABIMelbourne AI
Business Institute

Research Areas

From possibility
to business value.

Our research agenda follows the decisions leaders face: where to invest, how to implement and how to establish what changed.

About MABI
01

Where to invest

AI investment &
business value

How should a business decide which AI opportunities deserve its resources? We examine the connection between a proposed capability, a real business need and a credible path to value.

Read the investment framework

Questions we examine

  • Which opportunities have a defensible business case?
  • When should a company buy, build or wait?
  • When can proprietary expertise support a new offering?
02

How to make it work

Implementation &
adoption

Technical capability is one part of an operating system. We explore how workflow design, data, employee expertise and accountability influence the use of AI in everyday business.

Read the implementation briefing

Questions we examine

  • What needs to change beyond the technology?
  • How should people and AI divide the work?
  • Can AI reduce dependence on key individuals?
03

How to know it worked

Measurement &
performance

We examine how organisations distinguish activity from outcomes, evaluate costs and benefits, and decide whether an AI initiative should continue, expand or stop.

Read the measurement briefing

Questions we examine

  • When do time savings become economic value?
  • What comparison makes a result meaningful?
  • Which evidence is sufficient to justify scaling?

What guides the work

The useful question is
not simply “Can AI do it?”

It is whether the organisation can turn that capability into a better result—and what evidence would support the decision.

Explore our research