Feathery has launched a new AI-powered proposal generation solution designed to help wealth management firms deliver personalized client proposals at scale.
The tool, built around Feathery's AI assistant Robin, pulls together client data, financial planning documents, advisor expertise and firm-approved compliance templates from a single workspace. It integrates with widely used platforms across the industry including Salesforce, eMoney, Vanilla, Holistiplan, Addepar and Morningstar, to draft proposals tailored to each client's financial situation, goals and priorities, while preserving firm branding and required disclosures.
Advisors and their teams can collaborate on proposals in real time, using natural language to instruct Robin to make changes, with edits reflected directly in the document.
"Wealth firms know how to deliver personalization that's unique to each client's financial situation but doing so takes time and requires significant collaboration across different groups in an organization," said Peter Dun, co-founder and CEO of Feathery. "Feathery helps firms bring together their collective expertise and remove operational complexity so they can deliver more personalized experiences while reducing manual work."
The launch addresses a long-standing operational tension in wealth management: the tradeoff between speed and the depth of personalization that clients increasingly expect. By automating much of the data gathering and document preparation behind each proposal, Feathery aims to help advisory teams maintain consistency across their client base without a proportional increase in manual effort.
Proposal generation is the latest feature added to Feathery's broader platform, which is built to support the full client and policy lifecycle. The company has previously deployed automation tools for advisor onboarding, account opening, advisor transitions and repapering — workflows that have historically been time-consuming and coordination-heavy for wealth management operations teams.
The Feathery launch is part of a broader wave of AI tool introductions hitting the wealth management industry in 2026. Earlier this month, New York-based startup Astraeus launched a platform designed to unify fragmented client data, advisor relationships, accounts and regulatory through a single semantic layer, raising more than $10 million from investors including Fintech Collective and F-Prime in the process.
Meanwhile, Wells Fargo rolled out its AI Teammate tool to advisors across its wealth management channels in July 2026, embedding a chat-based assistant directly into its Advisor Gateway platform to help advisors quickly surface client information and prepare for meetings.
The momentum reflects a fundamental shift in how firms are thinking about technology adoption. Advyzon, a wealth management platform provider, unveiled what it calls an "all-in AI" operating model in July 2026 positioning its native agentic AI system as a replacement for the disconnected point solutions that have proliferated across advisory practices. The system draws on existing client data and workflow history to handle meeting prep, note-taking, document classification and financial planning tasks.
According to Orion's 2026 Wealthtech Survey, more than half of advisors believe AI and automation will have the biggest impact on firm success in the year ahead, a statistic that underscores why vendors across the space are accelerating their AI roadmaps.
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