• Which tools actually improve efficiency in legal, regulatory, investment ops, proposal review, or research?

• How can you stay flexible and nimble, since the AI vendor landscape changes rapidly?

• Balancing innovation with cybersecurity risks — the more tools you integrate, the higher the potential risk. Developing an AI policy that's flexible yet secure is essential.

• Operationalizing AI across trade processing, reconciliation, data analytics, compliance, reporting, automation, and workflows will become increasingly complex - How can AI help with reconciliations, data cleansing, trade matching, or anomaly detection?

• The economics of AI in investment operations - Cloud costs, compute, and commercial viability for different firm sizes

• Designing a scalable, compliant, tech stack for AI - Managing costs and integration challenges, especially with enterprise AI setups on platforms like AWS