Loading component...

Overview
About AI for Decision-Making and Strategic Insight
This module is designed for finance professionals who want to strengthen their ability to use artificial intelligence to support decision making, forecasting, and strategic insight. You will explore how AI is reshaping finance activities by expanding the depth, speed, and range of analysis, alongside the governance considerations, validation practices, and professional judgement required when applying AI-generated insights in business and strategic contexts. The learning experience is supported by interactive content, videos, and finance relevant examples that bring concepts to life.
Through this module, youll develop the capability to apply AI to forecasting, modelling, and scenario analysis while maintaining control over how insights are interpreted and used. You will explore how to frame effective prompts, analyse AI-generated outputs, and identify potential risks such as bias, error, or overreliance. By examining real world applications and decision scenarios, you will strengthen your ability to challenge assumptions, validate insights, and use AI to support more informed and forward-looking decision-making.
Featuring expert insights and practical activities, this module equips finance professionals with the skills to use AI as a tool for better analysis and strategic thinking while maintaining accountability for outcomes. You will build confidence in applying governance, scepticism, and validation practices to AI-supported insights, ensuring that decisions remain clear, explainable, and grounded in professional judgement.
Key topics
- AI-enhanced insights in finance
- How AI drives strategic capability
- Limitations and validations of AI
This module can be studied as part of the AI Strategy and Leadership in Finance micro-credential course, designed to provide in-depth, flexible learning.
The AI Strategy and Leadership in Finance course is made up of the following modules:
- Foundations of AI Strategy and Leadership (1.5 CPD hours)
- AI for Decision-Making and Strategic Insight (1.5 CPD hours)
- Leading Teams through AI Transformation (1.5 CPD hours)
- Ethical, Responsible and Future-Focused AI Leadership (1.5 CPD hours)
If you have enrolled in the full micro-credential course, you will have access to the assessment. If you have enrolled in an individual module and would like to complete the assessment and gain a badge, you can purchase the assessment separately.
The assessment will be subject to security measures such as identification verification and webcam monitoring. Please ensure you read the Assessment and security policy and system requirements prior to making your purchase.
IMPORTANT: You must complete this course and assessment by the expiry date. Extensions to this timeframe will not be provided.
About CPA Australia Micro-Credentials
CPA Australias Micro-Credentials are based on technical and non-technical competencies and align to our Accounting and Finance Capability Framework. Our partner, Credly, will provide you with a digital badge on successful completion of the assessment. Your digital badge allows you to demonstrate your capability and achievement, and can be placed on your LinkedIn profile, digital CV or email signature.
Flexible learning options:
- Micro-credential (6 CPD hours): Purchase the full micro-credential (which includes all four modules), complete the assessment and earn a digital badge.
- Individual modules: Choose to purchase modules individually, allowing you to focus on the specific areas and capabilities that interest you.
What you'll learn
- Apply AI driven prompting workflows, analytical tools, and scenario modelling techniques to strengthen forecasting, risk analysis, and strategic financial insights, while recognising where human judgement is required.
- Analyse AI-generated financial insights to identify potential biases, errors, and hallucinations to facilitate opportunities for strategic acumen.
Who is this for ?
This module is suited to finance professionals who want to strengthen their ability to use artificial intelligence to support forecasting, risk analysis, and strategic decision making while applying professional judgement, scepticism, and governance to ensure insights are reliable, explainable, and actionable.
