Overview

This unit aims to equip students with the ability to strategically identify, frame, and respond to business challenges through AI-enabled solutions. It uses a design thinking approach to foster empathy-driven innovation, creative problem-solving, and iterative solution development. The unit strengthens student’s ability to develop and communicate AI solutions that deliver business value, ensuring students are well-prepared for industry consulting roles. The unit is designed to enhance autonomy, critical thinking, and the ability to articulate business value in AI driven business innovation.

Requisites

Prerequisites
INF10028 Business Artificial Intelligence Project

AND

INF20033 Artificial Intelligence Business Strategy and Transformation

AND

INF10029 Tools and Techniques for Business Artificial Intelligence

AND 100 credit points

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
02-March-2026
31-May-2026
Last self-enrolment date
15-March-2026
Census date
31-March-2026
Last withdraw without fail date
21-April-2026
Results released date
07-July-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Critically evaluate business challenges and frame them as opportunities for AI-based innovation
  2. Assess the strategic, ethical, and governance implications of AI solutions in the selected business context, with a focus on business value creation and responsible deployment
  3. Develop a compelling, actionable strategic business proposal, justifying the integration of AI tools and methods to address business challenges
  4. Communicate the business value and impact of AI-driven solutions to business stakeholders, both technical and non-technical, using appropriate professional communication mediums
  5. Collaborate effectively in teams and critically reflect on personal and team learning regarding the integration of AI into business practice and the consulting process

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)

On-campus

Class 

 2.00 12 weeks 24

Online

Lecture (asynchronous)

 1.00 12 weeks 12

Unspecified Activities

Independent Learning

 9.5 12 weeks 114
Total     150

Assessment

Type Task Weighting ULOs
Assignment 1 Group 30-40% 1,2
Assignment 2 Group 30-50% 2,3,4
Assignment 3 Individual 20-30% 4,5

Content

  • Understanding how to assess business challenges through AI innovation frameworks.
  • Empathy-driven approaches to identifying business problems and developing human-centered AI solutions.
  • Leveraging AI tools to evaluate business opportunities, aligning AI solutions with business objectives.
  • Evaluating the ethical, compliance, and governance challenges in deploying AI solutions and ensuring responsible AI-driven innovation.
  • Structuring clear, persuasive proposals and presentations to justify AI solutions in business contexts.
  • Effectively communicating technical AI solutions to non-technical business audiences, with a focus on ROI and impact.
  • Self and team evaluation of the consulting process, reflecting on personal growth, team dynamics, and AI integration.

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.