While many organisations have experimented with AI, few have successfully deployed high-accuracy systems in production. Off-the-shelf models and pilot use cases often fall short when applied to complex financial workflows, where precision, reliability and trust are critical.

This session will explore what it takes to engineer AI systems that perform at the level required for real-world deployment. 

• How to move beyond pilots to build high-accuracy AI systems fit for complex financial workflows 
• How to evaluate and improving model performance in high-stakes, real-world environments 
• How to embed AI into core processes to deliver reliable, measurable business outcomes