Wealth management firms have long been at the mercy of software vendors, waiting for features that may never arrive. Two technology providers are now handing them the keys to build their own tools—no coding required.
AdvisorCRM and Zeplyn have each rolled out platforms that allow advisory firms to create custom applications, workflows, and AI agents using plain-language instructions. The moves come as a cross-sector AI risk coalition gains momentum, with roughly 95% of financial services and wealth management professionals planning to increase AI investment over the next three years, according to MSCI's Wealth Trends 2026 report. Yet the same research found many firms still struggling to translate that appetite into practical deployment.
AdvisorCRM's new offering, called AdvisorCRM Studio, gives firms a single environment to describe what they need—whether it's a custom report, a client onboarding tool, or a workflow—and have the system generate it. Advisors can preview the tool using their firm's actual data before deploying it, rather than adapting their processes to fit rigid, pre-built software. The platform centralizes data across all custom tools, aiming to eliminate fragmented records and duplicate data entry that come from stitching together disconnected systems. Each firm operates within its own dedicated database, structurally separated from others, so issues in one environment don't affect another.
Studio launched with a limited release at this week's Future Proof Festival, with the first 50 participating firms working directly alongside AdvisorCRM's team to get to grips with the system. “Advisors should not have to force their business into software that was built for someone else,” said Ryan Borer, managing partner at AdvisorCRM. “When you can build almost anything, the hard part is knowing where to begin.”
Zeplyn, which describes itself as an AI operating system for wealth management, took a similar approach with the launch of its Agent Studio and a companion model context protocol (MCP) server. Agent Studio lets firms define, using plain-language instructions, how an AI agent should operate, what information it draws on, and what its output looks like—whether that's an annual review brief, a meeting recap, or a client email drafted in the firm's own voice. The MCP server extends those custom agents beyond Zeplyn's own interface, giving AI applications that support the protocol—including Claude, ChatGPT, Copilot, and Slack—governed access to agents built in Agent Studio, along with Zeplyn's client intelligence and more than 60 wealth-specific tools.
In practice, an advisor working inside a separate AI application could pull recent meeting summaries, CRM data, financial planning details, and current holdings for a client household without switching platforms or maintaining a separate integration for each tool. Other wealthtech providers have launched new capabilities with MCP integrations this year, including Zocks, Jump, CAIS, and Morningstar, as wealthtech integrations target advisor efficiency across portfolio, content, and account opening.
Zeplyn said both of its newly launched capabilities operate within its existing governance framework, which includes role-based access controls, audit trails, personally identifiable information redaction, configurable data retention, and human review. The company also said client data isn't used to train the underlying AI models. “Every wealth firm has expertise that shapes how it serves clients, and AI should help put that expertise to work at scale,” said Era Jain, co-founder and CEO of Zeplyn.
The push toward firm-built AI tools comes as regulators sharpen their focus on how advisers govern the technology. The SEC's Division of Examinations has named artificial intelligence among several priorities for its 2026 examination cycle, with a particular eye on disclosure of AI use in investment advice, supervision of AI-generated outputs, and marketing claims about AI capabilities. More recent staff guidance has urged advisers to keep up a living inventory of every AI tool in use, document who owns each one, and show the human-review step for anything reaching clients.
As AI-driven consolidation in wealthtech continues, these no-code platforms could help firms move from AI experimentation to production. By putting the power to build in advisors' hands, they may also shift the balance of power away from software vendors and toward the firms themselves.
