Artificial intelligence (AI) has transformative potential, but only when applied to the right problem, with the right planning. Global AI investment is projected to reach AU$980 billion annually by 2028, yet 80 per cent of today’s AI projects fail.
Without a structured, systems-based approach, organisations risk investing in solutions that lack clear value, underestimate data needs, or overlook ethical and operational risks.
To address this, CSIRO has developed Evaluating and prioritising artificial intelligence projects: A guide for better decision making and investment outcomes, a practical resource to help decision-makers identify AI projects that are more likely to succeed and deliver value.
Inside the guide you’ll find:
- An AI investment decision checklist to structure early thinking
- Key questions to assess if AI is the right fit for the problem at hand
- Guidance on evaluating feasibility, data readiness, and delivery risks
- Prompts to identify ethical and social considerations early in the process
- A step-by-step process for comparing and prioritising AI project ideas
Use this guide to make confident, evidence-based AI investment decisions. Download the guide to build AI strategies that deliver lasting value and reduce risk:
Read the full guide
- Evaluating and prioritising artificial intelligence projects: A guide for better decision making and investment outcomes
- Evaluating and prioritising artificial intelligence projects: A guide for better decision making and investment outcomes - accessible text version
Artificial intelligence (AI) has transformative potential, but only when applied to the right problem, with the right planning. Global AI investment is projected to reach AU$980 billion annually by 2028, yet 80 per cent of today’s AI projects fail.
Without a structured, systems-based approach, organisations risk investing in solutions that lack clear value, underestimate data needs, or overlook ethical and operational risks.
To address this, CSIRO has developed Evaluating and prioritising artificial intelligence projects: A guide for better decision making and investment outcomes, a practical resource to help decision-makers identify AI projects that are more likely to succeed and deliver value.
Inside the guide you’ll find:
- An AI investment decision checklist to structure early thinking
- Key questions to assess if AI is the right fit for the problem at hand
- Guidance on evaluating feasibility, data readiness, and delivery risks
- Prompts to identify ethical and social considerations early in the process
- A step-by-step process for comparing and prioritising AI project ideas
Use this guide to make confident, evidence-based AI investment decisions. Download the guide to build AI strategies that deliver lasting value and reduce risk:
Read the full guide
- Evaluating and prioritising artificial intelligence projects: A guide for better decision making and investment outcomes PDF (412 KB)
- Evaluating and prioritising artificial intelligence projects: A guide for better decision making and investment outcomes - accessible text version TXT (52 KB)