Zeplyn adds AI coaching layer for wealth management advisors

Zeplyn has launched Advisor Coaching, a new enterprise feature for wealth management firms that evaluates advisor-client meetings and turns them into performance data for managers. The company did not disclose pricing, adoption targets or expected revenue contribution from the product.

The launch pushes Zeplyn beyond meeting capture and summarization into a more operational layer: scoring conversations, flagging coaching opportunities and letting supervisors query performance patterns across teams. That is a familiar move in sales software, where call intelligence has long been used to monitor rep behavior, but it is still a more sensitive proposition in wealth management, where client trust, compliance habits and advisor consistency are tied to revenue retention.

Advisor Coaching analyzes client and prospect meetings against a scoring rubric set by the firm. The system rates each conversation against that firm’s criteria and attaches coaching suggestions to specific parts of the discussion. Managers do not need to join calls or read full transcripts to review an advisor’s performance.

The product also connects to Ask Zeplyn, which is powered by Zeplyn Agent Nexus. Managers can use it to request reports across date ranges, individual advisors or teams, with the goal of identifying recurring performance trends that would otherwise require manual review.

Janise Brooks, president of PAX Financial Group, said the feature gives managers a way to see whether firm priorities are being reflected in client conversations and where advisors may need more guidance.

For advisors, the product includes preparation tools as well as post-meeting review. Advisor Coaching can use meeting notes and emails to assemble a profile for a specific client, then let an advisor practice a difficult conversation, such as a fee change or annual review, with AI playing the role of that client. After the role-play, the advisor can request structured feedback and a downloadable briefing sheet for the actual meeting.

Era Jain, Zeplyn’s CEO, framed the product as a way for wealth management leaders to measure advisor performance at scale, arguing that large firms have lacked the same kind of conversation-level visibility that sales organizations use to manage pipelines.

The Advisor Coaching product for wealth management is enabled at the organization level and is available now to existing Zeplyn customers.

Zeplyn describes itself as an AI operating system for wealth management. The company was founded by former Google AI engineers and says its platform pulls client intelligence from meetings, emails, documents, CRM systems, custodians and planning tools. It also says it has more than 50 wealth-focused AI agents and over 30 integrations, including Salesforce, Schwab, SS&C, Redtail and Wealthbox.

The announcement is another data point in the shift from AI assistants that produce notes toward AI agents that monitor work, structure manager reviews and influence revenue-team behavior. In regulated services, that shift will depend less on broad AI claims than on whether firms can make the scoring rubrics useful, auditable and aligned with how their advisors are actually managed.