Jump, the Salt Lake City-based artificial intelligence platform for financial advisors, has begun testing an AI-driven account opening service that completes Schwab and Fidelity applications in real time during client meetings. The company says the workflow, which includes live validation and e-signature, can compress a process that typically consumes two hours of manual effort spread over eight to fifteen days into roughly ten minutes.
The limited beta, launched on September 14, 2026, covers Schwab Advisor Services and Fidelity, with the Fidelity integration running through onboarding provider Dispatch. Parker Ence, Jump's co-founder and chief executive, said the expansion marks a shift from passive notetaking to what he calls "agentic AI"—software that executes multistep tasks on behalf of advisors, subject to compliance oversight.
"Supporting account opening across Schwab and Fidelity is an important milestone in our expansion across the full client relationship," Ence said in an interview. "Advisors often work with multiple custodians, so helping them move from a client conversation to a reviewed application sent for signature within one meeting addresses a practical challenge in growing their businesses."
According to research cited by Jump from Dispatch, a single account opening can involve more than 150 data points. Independent firms can enable the beta directly, while enterprise firms require home-office approval and configuration. The company is positioning the tool as a way to reduce administrative burden and accelerate revenue generation, but it also raises questions about how compliance teams will govern software that acts rather than merely listens.
Jump was founded in 2023 by Ence and Tim Chaves, now president and chief operating officer. The company raised an $80 million Series B round in February 2026 led by Insight Partners, bringing total funding to $105 million. At that time, 27,000 advisors were using the platform. Enterprise clients include Focus Financial Partners, which rolled out Jump AI to 800 advisors after a pilot in January.
The company's origins were not in wealth management. "Our initial idea focused on creating liquidity for structured note holders, but when that went nowhere, we focused on solving a different problem: saving the world from having to manually type data into a CRM!" Ence said. The pivot came after a financial advisor friend complained about the time spent documenting client meetings for compliance, calling compliance notes "the bane of my existence."
Jump's product suite, marketed as Meet, Grow, and Onboard, now ties meeting insights to onboarding, ongoing service, and business development. The data generated is also intended for home offices. "Enterprises also use the data created by Jump to make strategic decisions and help their teams be more successful," Ence said. On September 25, 2026, Jump published an AI Maturity Model that grades firms in four stages—Experimental, Operational, Strategic, and Transformational—based on adoption, governance, integration, and business outcomes. The model is part of Jump's effort to court large wealth management enterprises and asset managers.
The move into agentic AI raises compliance stakes. The Financial Industry Regulatory Authority reminded member firms in Regulatory Notice 24-09 in June 2024 that existing securities rules apply to generative AI. Some firms have built their own controls around notetakers, as recent market reactions to AI assistants have shown. Jump says it has in-house privacy, compliance, and security teams to help firms configure controls. "Satisfying compliance and AI safety requirements is a core pillar of our product development process," Ence said, adding that specifics would be shared when features ship.
Whether Jump can scale beyond the demo room depends on two factors: how the Schwab and Fidelity beta performs in real-world settings, and whether compliance teams are ready to let software act, not just listen. The company's growth will also be tested against custody minimums that are reshaping the RIA landscape, as well as the broader push for efficient onboarding tools across the industry.
