From quick wins to transformation: Implementing AI use cases in asset servicing

Financial institutions are identifying a growing number of AI opportunities across operations and client servicing, but turning pilots into scalable, enterprise level impact remains a major challenge.

  • Prioritise AI initiatives across quick operational gains and longer-term transformation programme
  • Examine practical lessons from AI driven document processing and automated client reporting
  • Manage governance, legal and quality control risks as AI moves into client facing environments
  • Set realistic expectations for near term efficiency gains versus longer term strategic value

Panel discussion: Evaluating the wealth management model: Deciding when to build or buy

  • Can firms outsource their data analytics and product transformation to third parties vs building in-house?
  • What are the real-world impacts on innovation, agility and customer service excellence?
  • How are talent strategies affected, as many firms balance tech build vs third-party investment?

Moderator: Adil Bundeally, Transformation Director, Risk Advisor & Interim Executive, Lloyds (Former)

Case study: How digital strategies, AI and data can drive growth

Wealth managers face mounting pressure to deliver operational excellence, enhance client experiences, and retain relevance in an evolving marketplace. As firms embrace AI, CRM enhancements, and advanced data strategies, how can they ensure their investments deliver sustainable value rather than costly transformation failures?

  • How are firms leveraging AI integration and data insights to enhance efficiency and deliver superior client outcomes.
  • The role of digital tools in today’s competitive landscape.
  • Overcoming organisational and cultural resistance to digital change.
  • Future-proofing your firm’s digital strategy in the era of intergenerational wealth transfer

Tech Spotlight: How AI is reshaping user workflows: recent applications and insights

As AI tools become embedded across wealth management platforms, firms must rethink how advisers, operations teams and analysts interact with systems and data in their day-to-day workflows

  • How AI is being integrated into adviser, operations and client servicing workflows
  • Where automation and AI copilots are reducing manual processes and improving productivity
  • Practical examples of AI driven workflow transformation across wealth platforms
  • Lessons from early deployments and what firms should prioritise next