Agentic AI will help firms tackle some of post-trade’s biggest challenges: rising volumes, tighter settlement timelines, increased regulatory demands. Realising this potential means crossing the chasm between a working PoC and scalable, governed AI in production.
Join us to discover the buy-side playbook for getting Agentic AI from the pilot stage to delivering value across your post-trade operations.
This session is for you if you have:
- Manual workflows that can’t keep pace with the needs of the business
- Promising AI pilots that never get past the PoC stage
- Unanswered questions about governance and what an AI operating model actually looks like in practice
- No clear framework for defining or measuring ROI from your agentic AI investments
- Data quality issues that are quietly blocking AI from delivering reliable, consistent results
We’ll explore:
- The top agentic AI questions post-trade leaders want answered
- How far your buy-side peers are on their adoption journey
- The data, infrastructure and cross-functional alignment needed to move AI from POC to production
- How to design a governance framework that gives your team the guardrails they need
- The role of humans as AI overseers and decision makers in an agentic world
- How to measure ROI in an outcome-driven operating model
