Measuring AI
Successful AI implementation takes more than choosing the right technology. Learn how to assess AI readiness, identify meaningful measures of success and plan where and how AI can add value to your organisation.
HK$1,575 +VAT
Measuring AI
HK$1,575 +VAT
365 days’ access
This course will enable you to
- Build a foundation for successful AI use
- Identify the metrics to measure AI’s utility in key areas
- Employ the AI readiness framework
- Ensure you have a manageable amount of KPIs
- Create an implementation roadmap
About the course
Introducing AI into your organisation can feel like a mammoth task. There are so many voices saying different things – “AI will completely change your workplace”, or “AI is more effort than it’s worth” – that it can be hard to know where the truth lies, and how AI might help your team work better.
This course looks at how you can methodically and gradually begin using AI to make your processes more efficient. You’ll explore an AI readiness framework covering strategy, process maturity, data readiness, skills and capabilities, technical infrastructure, and governance and risk management. You’ll also learn how to identify useful KPIs and metrics to measure the impact, efficiency and value of AI, before using these insights to build a practical implementation roadmap.
By completing this course, you’ll be better equipped to advise business leaders on how to plan for and implement AI. It’s a significant undertaking that needs to be approached with care, ensuring that opportunities are properly assessed, results are measured and AI delivers genuine improvements rather than change for change’s sake.
Contents
Module 1: AI and the Future of the Finance Function
Explore how AI is changing the finance function, including its current capabilities, limitations, opportunities and risks. Examine common myths and misconceptions about AI, consider which aspects of accounting work are likely to change, and understand the foundations needed for successful AI implementation.
Module 2: Measuring AI Value and Benefits
Learn how to evaluate whether AI implementation is delivering meaningful benefits to your organisation. Explore metrics for measuring early impact, cost efficiency, operational improvements and capacity, and understand how to assess the value of AI investment and its contribution to the finance function.
Module 3: Assessing Organisational AI Readiness
Discover how to use an AI readiness framework to assess your organisation’s preparedness for AI adoption. Explore six key areas: strategy, process maturity, data readiness, skills and capabilities, technical infrastructure, and governance and risk management. Learn how to identify gaps and assess whether your processes and systems are ready for AI.
Module 4: Developing KPIs for AI Readiness
Explore how key performance indicators (KPIs) can turn your AI readiness assessment into measurable objectives. Learn how to develop practical KPIs across the six areas of the readiness framework, select a manageable number of indicators and determine when your organisation is sufficiently prepared to progress with AI implementation.
Module 5: Creating an AI Implementation Roadmap
Bring together your AI readiness assessment, value realisation metrics and KPIs to develop a practical implementation action plan. Learn how to identify opportunities for AI within your organisation, distinguish quick wins from longer-term improvements and create a roadmap for introducing AI tools effectively.
Author
Ross Maynard
Ross has worked as a consultant and trainer for over 20 years, specialising in finance processes, management information and performance measurement. He supports organisations to understand their processes; facilitates improvement teams; and supports staff to work together as a team to deliver tangible and sustainable improvements.
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