A focused course, tailored for you
Building Modern Wealth Management AI Strategy for Independent Advisory Practice (Advisor Productivity + Client Insight + Compliance + Tech Stack + Growth)
Build the modern wealth management AI strategy for independent advisory in 10 weeks. Advisor productivity + client insight + compliance + tech stack + growth.
Independent wealth advisory practice competes with mega-RIAs and the captive private banks on AI-augmented client experience. AI for advisor productivity, real-time client insight, compliance under SEC + state + EU rules, tech-stack modernisation, and AUM-growth strategy under wealth-transfer dynamics all need to land at the principal level. Advisors who build the modern practice take the next-generation client base. Here is the 10-week build.
Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.
Why this course
Independent wealth advisory practices (solo RIAs, boutique multi-family offices, mid-cap RIAs, fee-only advisors, fiduciary-only practices, hybrid practices) now compete with mega-RIAs (Edelman Financial Engines, Mariner Wealth Advisors, Mercer Advisors, Captrust, Hightower, Wealth Enhancement, Cerity, Mission Wealth) and captive private banks on AI-augmented client experience.
AI for advisor productivity (call preparation, meeting summary, follow-up drafting, proposal drafting, planning-discussion preparation), real-time client insight (life-event detection, market-event triggers, tax-loss harvesting opportunities, gift-planning triggers, business-succession triggers), compliance under SEC Regulation Best Interest, DOL fiduciary, FINRA Rule 2111, state insurance DOI for affiliated products, EU AIFMD where European clients (where applicable), EU AI Act where European clients, tech-stack modernisation (CRM, planning, portfolio management, client portal, communications), AUM-growth strategy under great-wealth-transfer dynamics (women-as-decision-maker, next-generation, multicultural, business-owner, executive-client segments) all need to land at the principal level.
Advisors who build the modern practice take the next-generation client base. Advisors who stay on classic patterns watch AUM share shift to mega-RIAs and to AI-native practices.
This course teaches the 10-week build of modern wealth management AI strategy for independent advisory: advisor productivity framework, client insight framework, compliance posture, tech-stack modernisation plan, AUM-growth strategy, and the practice engagement model. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific practice and client mix.
What you walk away with
- A documented AI-augmented advisor productivity framework.
- A real-time client insight framework.
- A compliance posture under SEC Reg BI + DOL fiduciary + FINRA Rule 2111 + state DOI.
- A modern wealth-tech stack architecture.
- An AUM-growth strategy under wealth-transfer dynamics.
- A practice engagement model.
- A 10-week build plan.
The 12 modules
How this addresses your situation
Specific modules that map to what you said you are dealing with.
What you get with this course
- The 12-module course delivered as text plus downloadable templates.
- Templates and worked examples for AI-augmented advisor productivity, real-time client insight, compliance posture, modern wealth-tech stack, AUM-growth strategy, client experience modernisation, investment and planning strategy, trust/estate/philanthropy, practice economics, talent and succession.
- A hand-built implementation playbook generated for your specific practice and client mix.
- Three worked examples of modern wealth management AI strategies at peer independent practices.
- Scripted talking points for the practice growth and succession conversations.
What you will have in hand by Day 1, Week 1, Month 1
Day 1: AI-augmented advisor productivity framework scaffold drafted.
Week 4: Real-time client insight + compliance posture designed.
Week 8: Modern wealth-tech stack + AUM-growth strategy + client experience operational.
Week 10: Modern strategy in operation.
Before and after
Your independent practice runs classic advisory patterns. AI-augmented advisor productivity is talked about but not deployed. Wealth-tech stack lags mega-RIA platforms. Compliance posture under AI is unclear. AUM-growth under wealth-transfer dynamics is reactive. Senior client work goes to mega-RIAs and AI-native practices.
A modern wealth management AI strategy is in operation. AI-augmented advisor productivity framework, real-time client insight framework, compliance posture, modern wealth-tech stack architecture, AUM-growth strategy, client experience modernisation, investment and planning strategy, trust/estate/philanthropy, practice economics, talent and succession are all designed.
What happens if you do not address this
Independent practices without the modern strategy lose AUM share to mega-RIAs and AI-native practices. SEC AI scrutiny under Reg BI is increasing.
Who it is for
For independent RIA principals, multi-family-office partners, fee-only advisors, fiduciary-only practitioners, and hybrid-practice principals.
How it arrives
Text-based course via LMS, plus downloadable templates and worked examples and the hand-built implementation playbook.
Time investment. Roughly 18 hours of reading and 60 to 120 hours of principal effort across the 10-week build.
Why $199 is the right number
External wealth-practice consultants (specialist firms like FA Insight, Cerulli Associates, ECHELON Partners, DeVoe & Company, FP Transitions) charge $200K-$1M for practice-modernisation programmes. Big4 wealth advisory engagements run $500K-$3M. AI-vendor implementations (Jump AI, Zocks, Nexa, Salesforce Einstein) run $50K-$500K/year. $199 buys the focused playbook plus the implementation document for your specific practice.
FAQ
30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.