AI in Finance: Separating Value from Risk in the Modern Close
Event
Wednesday, March 25th, 11AM SGT | 2PM AEDT | 4PM NZT
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Why This Conversation Matters Now
Over the past 18 months, AI has moved from experiment to boardroom mandate. Finance teams are under pressure to adopt it quickly.
The problem is not enthusiasm. The problem is governance.
While 59% of finance functions now use some form of AI, many are experiencing what can only be described as a Value Lag, where investment momentum outpaces realised impact.
In the financial close, uncontrolled AI creates more risk than efficiency.
This session cuts through the noise.
What You Will Leave With
This is a working session focused on control, clarity, and measurable return.
You will gain:
A clear framework to distinguish black-box AI from explainable, defensible workflows
A practical model for layering Deterministic Automation, AI-Assisted Suggestions, and Human Judgment
High-impact use cases that reduce late surprises during month-end
A four-step roadmap to pilot AI safely, define new KPIs, and audit performance quality
No inflated claims. No vague transformation language. Just controlled execution.
Meet Your Speaker
Georgina Woolf
Sr. Solutions Consultant
As a Sr. Solutions Consultant at Trintech (APAC), her philosophy is simple: automate what is repeatable, build in governance, and never lose accountability. No black boxes.
