Datos Insights survey data confirms what many executives suspect: 40% of practices run four or more disconnected platforms, 35% struggle with adoption across existing systems, and while 80% have deployed AI initiatives, only 33% actually understand the technology they’re using. Fragmentation like this works fine for point solutions that operate in isolation, but Agentic AI can’t operate that way. Bank wealth managers face this challenge acutely: holistic integrations must span core banking, lending, trust services, and wealth management simultaneously—and most firms don’t have it.
This report, the second in a series focused on implementing agentic AI in wealth management, examines the infrastructure barriers that prevent most firms from operationalizing agentic capabilities and identifies the conditions required for successful implementation. It draws on two Datos Insights surveys (the Q2 2025 Survey of Wealth Management Executives and the Q3 2025 Advisor Survey), industry implementations from major financial institutions, AI vendor partnerships, platform economics, and conducted conversations with technology leaders navigating agentic AI deployment.
Clients of Datos Insights’ Wealth Management service can download this report.
This report mentions AMD, Anthropic, AWS, Banco BV, Black Diamond, BlackRock, Broadridge, Calendly, ChatGPT, Cisco, ComplySci, Edward Jones, eMoney, Envestnet, Fidelity, GitHub, Global Infrastructure Partners, Global Relay, Google, Harvey, Holistiplan, KPMG, LangChain, LPL, Mascoma Bank, Meta, MGX, Microsoft, Microsoft Dynamics, NVIDIA, OneDigitalTrust, OpenAI, Orion, Outlook, Pentagon Federal Credit Union, Pulse360, Raymond James, Redtail, RightCapital, Riskalyze, Salesforce, Salesloft, Scale, Schwab, ServiceNow, Shaping Wealth, Smarsh, Tamarac, TIFIN, UBS, Uptiq, Vanilla, Wealthbox, Wells Fargo, xAI, and Zoom.
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