A Zurich-based multi-family office believes artificial intelligence offers a clear opportunity to pull ahead of a wealth management industry that is adopting the technology more slowly than headlines suggest.
When Linvo announced that it had embedded AI across its asset management operations, it signalled a deliberate push to rethink how time is spent inside the firm. Management argues that AI can fundamentally rebalance staff workloads, sharply reducing administrative effort and freeing advisers to focus on clients.
Today, Linvo estimates that roughly 80 per cent of staff time is absorbed by administrative and compliance-related tasks, with only 20 per cent spent on client interaction. The firm’s stated ambition is to reverse that ratio. Speaking to WealthBriefing, AI solutions assistant Vadym Chernyshov said the goal is for advisers to devote the majority of their time to client-facing work. The publication also spoke with Linvo director Alexander Kogan.
According to the firm, its AI integration allows clients to access portfolio data, request services, and receive responses in real time. Linvo says it is among the first Swiss wealth managers to pursue end-to-end AI integration across both advisory and client-facing functions. Founded in 2014, the firm does not disclose its assets under management or the identity of its AI technology partner.
Chernyshov noted that much of Linvo’s internal infrastructure was previously built on legacy systems, creating inefficiencies across middle- and back-office operations. Given the firm’s heavy compliance obligations, AI is viewed as a lever for significant productivity gains, potentially improving operational efficiency by an order of magnitude.
Beyond efficiency, management believes AI strengthens client engagement by reducing the administrative burden on advisers. Kogan added that while AI is becoming more common across the sector, adoption remains cautious, creating room for firms willing to move faster. Linvo sees its relatively young and technology-oriented team as an advantage in this transition.
The firm also points to practical issues AI can address, such as incomplete task tracking. Client requests are not always fully captured in CRM systems, despite regulatory requirements. Linvo argues that AI can help close these gaps by supporting continuous documentation, immediate responses via messaging, and round-the-clock availability.
Additional use cases include analysing historical statements, income flows, and transactions, assisting with tax preparation, and supporting asset structuring and wealth planning. Over time, the firm believes these capabilities could enable a high degree of automation across its operations.
