Zocks launched Client Queries on June 16, a new agentic capability that lets advisors ask questions like "Which clients have a 401(k) with a previous employer we could consolidate?" or "Which clients have a review due this quarter with over $500,000 in held-away assets?" - and receive a matching client list within seconds.

From there the platform automatically prompts next steps: a pre-drafted personalized email, a new CRM opportunity, or a meeting scheduling link. Answers draw from a continuously updated client profile built from every conversation, email, document, CRM record, financial plan, and data source connected to the platform.

The jump from reactive AI (summarize what happened in the past) to proactive AI (surface what I should do next, for which clients, right now) is the most meaningful workflow capability shift in the advisor AI category since meeting notes went automatic.

Separately, Hightower selected Zocks as its exclusive AI assistant across its national advisor network — meaning no competing AI assistant is offered to Hightower advisors. Enterprise-exclusive vendor commitments are rare in this category; they signal firms have moved from experimentation to standardization.

Jump’s AI Associate is now available on iOS - a conversational, mobile-native AI agent that lets advisors query client history, check portfolio allocations, identify missing documents, and take action across connected systems from their phone; every action requires explicit advisor approval before executing.

Jump added eMoney write-back support, allowing advisors to push planning data from a meeting directly into eMoney rather than logging in separately and re-entering notes manually. This capability closes the most common post-meeting friction point - the 15–30 minutes advisors spend re-entering meeting insights into their financial planning tool after every review.

This embedded-AI pattern - where AI lives where advisors work rather than asking them to open a new tab - is the design direction every major platform is converging on, and Jump is executing it faster than most. No advisor wants a whole new AI tech stack, and AI wealthtechs have heard that message.

TaxStatus partnered with Advice.ai to automatically surface personalized tax and planning strategies directly from IRS-verified client financial data - strategies including backdoor Roth conversions, capital loss carryforwards, DAF contributions, and more.

TaxStatus retrieves data directly from the IRS with client consent, rather than requiring clients to upload their own tax returns - eliminating the roughly 30% data gap CPAs estimate from clients who fail to provide all relevant documents when submitting manually.

AI-powered tax planning tools are only as accurate as the data they run on. The most common failure point in manual planning workflows is incomplete client document submission. IRS-sourced data removes that bottleneck.

Research firm GPTZero conducted a forensic review of a KPMG industry report and found that only 5 of the report's 45 citations correctly matched their claimed sources — the remaining 40 ranged from fabricated, to partially invented, to too vague to verify.

Any AI-assisted client deliverable produced without a formal human review workflow carries the same potential risk. A hallucinated statistic in a planning proposal, a fabricated holding reference in a portfolio commentary are all possible with AI - the phrase “human in the loop” is well-known but no less important.

Advisors should establish a written procedure for all AI-assisted client-facing content. At minimum: one human reads the full document before delivery; any data reference is verified against the actual client record; any external statistic or citation is checked at source before inclusion. The KPMG incident makes the case that even experienced operators with sophisticated tools and large teams get this wrong without a process.

The SEC's 2024 amendments to Regulation S-P took effect for smaller RIAs on June 3, 2026. Vendor oversight must now include contractual requirements to notify within 72 hours of a cybersecurity incident; and an expanded definition of protected information covering all nonpublic personal information in an RIA's possession, among other updates.

Every AI tool an RIA has adopted - Jump, Zocks, Hazel, ChatGPT for Business, Microsoft Copilot, any vendor with access to client data - is a potential covered service provider under the amended rules.

Advisors should review contracts for their AI vendors and verify 72-hour breach notification language exists - add it where missing; and update their approved vendor lists to accurately reflect AI tool now in active use.

Advisor Perspectives published a May 2026 analysis drawing on Kevin Hughes, president of financial planning at Advyzon, and other operators for an honest assessment of where advisor AI ROI actually stands.

“At the task level, AI is clearly giving time back.” Hughes noted, but at the workflow level, “tools are still operating as an additional layer in the tech stack rather than being integrated into core systems, which often adds extra steps."

Across the induustry, advisors who are “using AI” can truly get more done, but often report that they feel busier despite that, until AI rollout strategies deliver deeper workflow redesign. In other words, the highest ROI AI use cases eliminate manual steps entirely, rather than just making them faster.

The notetaker era is ending. Zocks Client Queries, Jump's AI Associate operating inside CRM and planning tools - the AI notetaker era is already ending and these firms seek to become business intelligence and growth layers over advisor relationships.

Hallucination governance is now a fiduciary requirement, not a future concern. The KPMG incident moved AI content risk from a chatbot problem to a professional integrity problem. Any AI-assisted output that reaches a client without human verification is carrying unreported risk.

The AI ROI challenge is structural, not a tool problem. Broad AI adoption with shallow ROI is not a model capability problem - it is a workflow design problem. The firms capturing real returns are the ones that redesign work around AI, not the ones that added tools to old workflows.