设计与多媒体

next-best-action

joellewis/finance_skills

Design and implement next-best-action engines that surface proactive, prioritized recommendations to advisors based on portfolio, life, market, and compliance events. Use when the user asks about building event-driven advisor alerts, designing trigger logic for portfolio drift or large cash movements, prioritizing competing actions across a book of business, routing NBA recommendations to the right team member, measuring NBA acceptance rates, or automating compliance-driven actions like annual review reminders. Also trigger when users mention 'next best action', 'advisor nudges', 'proactive outreach', 'what should I do for this client', 'event-driven triggers', 'action queue', 'client contact gap', 'RMD reminder', or 'advisor productivity tool'.

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安装命令

npx skills add https://github.com/joellewis/finance_skills --skill next-best-action

SKILL.md

Next-Best-Action — Event-Driven Advisor Recommendations

Core Concepts

Next-Best-Action Framework

Next-best-action is an advisor productivity and client service methodology that analyzes client data across systems to surface the single most valuable action an advisor should take for each client at any given time. The concept originates in CRM and marketing automation — industries that have long used event-driven recommendation engines to guide customer-facing personnel toward high-value interactions — but its application in wealth management addresses a distinct set of challenges: advisors managing hundreds of client relationships cannot manually monitor every portfolio, life event, compliance deadline, and practice touchpoint across their entire book of business.

NBA differs fundamentally from traditional task management. Traditional task management is reactive and manual: advisors create their own to-do lists, respond to inbound client requests, and rely on memory or periodic reviews to identify outreach opportunities. NBA is proactive and data-driven: the system continuously monitors client data across custodial feeds, CRM records, financial plans, compliance calendars, and market data, automatically identifying situations that warrant advisor attention and recommending specific actions with supporting context.

The core components of an NBA system are:

  • Event detection — Continuous monitoring of data sources to identify triggering events (portfolio drift, large cash movement, life milestone, compliance deadline, market dislocation).
  • Action identification — Mapping detected events to a catalog of recommended actions (schedule review, propose rebalancing, discuss tax-loss harvesting, update beneficiaries).
  • Prioritization — Scoring and ranking competing actions across all clients to ensure advisors focus on the highest-value activities given limited time.
  • Routing — Directing each action to the appropriate person based on role, expertise, relationship, and availability.
  • Delivery — Presenting recommendations through the channels advisors actually use (dashboard, mobile notification, email digest, CRM task).
  • Tracking — Recording action outcomes (accepted, deferred, rejected, completed) to close the feedback loop and improve future recommendations.