The era of AI-augmented, human-guided transformations

As we enter the era of AI-augmented, human-guided transformations, how can wealth management companies modernize operations and prepare for emerging solutions? This presentation looks at the most critical integration issues and presents proven strategies. Spoiler: the hardest part of AI integrations isn’t the AI.

Enabling hyper personalised client journeys with agentic automation

Join Stephen Rhodes, Solutions Director at SS&C Blue Prism, as he explores how agentic automation is redefining the operating model for today’s wealth management institutions. As client expectations evolve and regulatory pressures intensify, isolated automation initiatives are no longer enough. Wealth firms now require connected, intelligent systems that can drive personalised experiences, operational resilience, and scalable growth.

Stephen will unpack why many wealth managers are still struggling to convert AI investments into measurable ROI, uncovering the governance, trust, and adoption barriers that frequently stall progress. He will also highlight how combining human expertise with autonomous AI agents creates a powerful, compliant-by-design operating modelβ€”one that boosts adviser productivity, reduces risk, and enables responsive, signal driven client engagement.

The session provides a practical roadmap for firms looking to modernise their operating model, improve client outcomes, and accelerate enterprise-wide value creation with AI.

Key Takeaways:

  • How do you turn AI into ROI and growth
  • Operating in a regulatory and sensitive environment with piece of mind
  • Scaling without introducing risk or operational friction

Case study: Building AI-native wealth management operations: Turn AI into reliable field-ready impact

A look at how leading wealth management firms are moving beyond automation to build π€πˆ-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐒𝐧𝐠 𝐦𝐨𝐝𝐞π₯𝐬 β€” where data, analytics, and human expertise come together to deliver πŸ‘β€“πŸ“π± 𝐟𝐚𝐬𝐭𝐞𝐫 𝐝𝐞𝐜𝐒𝐬𝐒𝐨𝐧𝐬, 𝐠𝐫𝐞𝐚𝐭𝐞𝐫 𝐭𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲, and measurable outcomes