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Maybank introduces AI advisory platform for relationship managers

Maybank is launching an AI advisory tool after a 4.2% profit decline. It gives relationship managers portfolio insights, risk analytics, and conversation starters.

Maybank is introducing an AI-powered advisory tool to help its relationship managers deliver more data-driven wealth management advice, as the bank looks to steady its performance following a 4.2% profit decline partly tied to weaker trading income. The Malaysian banking group announced on June 29 the rollout of Advisor Assist, a platform developed by Evooq, a Swiss wealth technology provider.

The platform gives relationship managers access to portfolio insights, risk analytics, and recommended next steps for client conversations. It consolidates client portfolio information, investment opportunities, and actionable intelligence into a single advisory view.

Advisor Assist capabilities

The tool provides several data-driven features:

  • Portfolio insights and risk analytics
  • Recommended conversation starters based on client profiles
  • A consolidated view of holdings and investment opportunities

These capabilities reflect a broader shift toward AI for Finance across the industry. Banks are increasingly using automated insights to support relationship managers in client conversations without replacing their judgment.

A wider digital strategy

The Advisor Assist launch follows Maybank's earlier pilot in 2026 involving a tokenised ringgit for cross-border payments. The bank has been stepping up digital experimentation even as its latest results showed the profit dip. The wealth management push is part of an effort to generate more stable revenue streams by equipping advisors with tools that can speed up client service and deepen engagement.

Why this matters for management

For executives overseeing digital transformation, the rollout shows how AI for Management tools can sharpen decision support without sidelining human expertise. Advisor Assist gives relationship managers a unified view of client holdings, helping them shape advice quickly - a pattern that other service-led organisations can watch as they deploy AI systems that augment, rather than replace, frontline judgment.

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