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AI Can Build the Model. Can You Review It?
Live webinar
AI in financial modelling: what AI gets right (and wrong)
A practical discussion on the realities of AI in financial modelling, drawing on a recent experiment in which multiple AI tools were asked to modify a project finance model. This webinar explores what AI does well, where it goes wrong, and why reviewing AI-generated changes may be becoming more difficult, not less.
3 November 3pm GMT / 4pm CET / 7pm GST / 10am EST Free
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Reviewing AI-generated work is not getting easier
As AI becomes part of the modelling workflow, reviewing what it produces may be becoming more difficult, not less.
This webinar covers model quality, governance and auditability, and the controls organisations need as AI becomes part of the modelling workflow. Drawing on a recent experiment in which multiple AI tools were asked to modify a live project finance model, it looks directly at what AI does well, where it goes wrong, and what that means for how a review actually needs to work. Attendees leave with practical lessons for using AI productively while maintaining confidence in model outputs.
What we will cover
Four things you will take away
What the experiment found
Results from a real test in which multiple AI tools were asked to modify a project finance model, and what went right and wrong.
Why review is getting harder
Understand why reviewing AI-generated changes may be becoming more difficult as the tools improve, not less.
Governance and auditability
The controls organisations need as AI becomes part of the day-to-day modelling workflow, not just a one-off experiment.
Practical lessons
Take away practical lessons for using AI productively while maintaining confidence in model outputs.
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If you found this useful, you may also benefit from our training courses, such as AI in Project Finance Modelling, or our AI enablement service for teams building this capability internally.
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