Artificial intelligence is no longer a distant ambition for the wealth management industry — it is rapidly becoming a practical necessity.
According to WealthTech platform fincite, as many as 70% of advisory tasks could be supported by AI by 2030, and the institutions that begin building the necessary infrastructure today are best positioned to benefit tomorrow.
The challenge, however, is not simply adopting a capable AI model. Many banks remain held back by fragmented systems, manual processes and siloed data that make meaningful AI integration difficult.
Fincite’s platform, known as cios, was designed to address this directly — embedding AI into the advisory workflow from the outset rather than layering it on top of existing processes. The company draws on over 11 years of wealth management expertise and works in partnership with Microsoft.
The platform centres on four distinct AI use cases, each targeting a specific pain point in day-to-day advising. The first, Voice to Action, tackles a problem familiar to almost every adviser: the sheer volume of manual data entry that dominates client meetings.
Research cited by fincite suggests that 40% of every advisory meeting is currently spent capturing data, with advisers frequently pulled away from genuine conversation with clients in order to fill in forms. Voice to Action transcribes meetings in real time, automatically identifies assets and liabilities as they are mentioned, and suggests follow-up questions to deepen the client picture, leaving the adviser to review and confirm entries with a single click.
The second use case is the CIOS Copilot, an AI assistant integrated directly into the adviser dashboard. The tool pulls together portfolio performance data, generates pre-meeting executive summaries, flags compliance gaps across the entire portfolio, and surfaces potential cross-selling opportunities, all without requiring advisers to manually gather information across multiple systems. Custom prompts can also be configured to accommodate workflows that fall outside standard templates.
Fincite’s third offering, Trusted Advisor, targets the MiFID II profiling process, which the company notes currently exceeds 45 minutes in nine out of ten sessions. The tool guides advisers through regulatory profiling, suggests questions aligned with compliance requirements, and produces a structured investor profile encompassing a client’s knowledge score, risk capacity and full investment profile — all documented in a format ready for regulatory use.
The fourth use case addresses client reporting, which fincite describes as one of the most time-intensive tasks in wealth management and simultaneously one of the most powerful drivers of client retention. Its hyper-personalised reporting tool automatically generates individual reports based on each client’s portfolio, goals and prior activity, producing consistent, on-demand documentation that can be shared directly from the platform.
Fincite is keen to distinguish cios AI from broader, generic AI tools, arguing that off-the-shelf solutions lack the domain-specific understanding required for wealth management. The platform is built around wealth-specific data models covering mandates, suitability and investment proposals, and includes enterprise-grade governance features such as audit trails and role-based access controls. The firm positions its approach as human-first, with AI handling repetitive tasks while advisers retain decision-making authority.
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