AI in wealth management: scaling intelligence while preserving trust

As artificial intelligence moves from experimentation to implementation, wealth managers are redefining the role of technology and the private banker.

Artificial intelligence is rapidly becoming part of the day-to-day reality of wealth management. But while AI can automate research, summarise information and support investment analysis, one conclusion is becoming increasingly clear: the more intelligence scales, the more trust matters.

This was one of the key messages from the latest ABBL FinTech & Innovation Forum, organised in partnership with Indosuez Wealth Management, which brought together banking leaders, FinTechs and innovation experts to discuss how AI is reshaping private banking.

From experimentation to implementation

Opening the event, Olivier Carcy, Olivier Carcy, CEO of Indosuez Wealth Management (Europe), described AI as a structural transformation rather than another technology trend.

For financial institutions, the challenge is no longer whether to adopt AI, but how to deploy it responsibly and at scale, with the right infrastructure, governance, cyber resilience and talent.

For Luxembourg’s financial centre, this transition is particularly significant.

Ananda Kautz, Member of the Management Board of the ABBL, highlighted that maintaining Luxembourg’s leadership in wealth management will depend on banks’ ability to move beyond experimentation and accelerate the responsible deployment of artificial intelligence.

She also highlighted the ABBL’s ongoing initiatives supporting the sector, including dialogue with the CSSF, practical AI use-case workshops, the recently established Innovation Cluster bringing together C-level executives, and the Association’s broader contribution to positioning Luxembourg as a leading hub for responsible AI.

AI will change the work, not the relationship

One of the evening’s strongest messages came from Lydie Percier, Global Chief Innovation Officer at Indosuez Wealth Management Group.

She compared AI to electricity: an enabling technology that will increasingly become part of every financial institution’s operating model.

Research, reporting, portfolio analysis and meeting preparation can all be accelerated through AI. Yet wealth management extends far beyond processing information.

Clients seek guidance on long-term objectives, family situations, succession planning and complex personal decisions. In this environment, the role of the private banker is evolving rather than disappearing.

Instead of acting primarily as an information provider, tomorrow’s relationship manager will increasingly become an interpreter and trusted adviser, capable of understanding AI-generated insights, challenging them when necessary and ultimately remaining accountable to the client.

Governance is becoming a competitive advantage

The panel discussion, moderated by Melanie Moos, Vice-Chair of the ABBL FinTech & Innovation Forum, brought together Vincent Manuel, Liévin Tshikali, Frédéric Gielen et Geoffrey Dezoppy to discuss one recurring challenge: moving from promising pilot projects to large-scale implementation.

Speakers agreed that successful AI adoption depends on strong data quality, clear governance and robust operating models from the outset.

Rather than slowing innovation, governance was presented as a key enabler of trust. Confidentiality, explainability, data protection and human oversight remain fundamental to the client promise in private banking.

The discussion also showcased practical applications already emerging across the sector, including AI assistants supporting back- and middle-office teams, automated monitoring of regulatory developments and tools helping relationship managers improve productivity while preserving the quality of client interactions.

From ideas to practical applications

Alongside the strategic discussions, participants also discovered practical solutions developed by members of Luxembourg’s FinTech ecosystem.

Three companies presented concrete AI use cases for wealth management:

• Abbove, demonstrating how structured wealth data can support AI-powered advisory;
• Leexi, presenting a secure European solution for automatically generating meeting notes and summaries;
• Sopiad, showcasing new approaches to transforming portfolio reporting into more engaging client communication.

These examples illustrated how AI is already delivering tangible value across different stages of the wealth management value chain.