CASE STUDY

Wealth Manager: Einstein Next-Best-Action for Advisor Productivity

A wealth manager deployed Einstein Next-Best-Action across 3,400 advisors. AUM growth from existing clients up 14%; advisor satisfaction with tooling up 28 points.

May 9, 2026 · 2 min read · By admin

At a glance

Industry: BFSI
Topics: Einstein AI · Sales Cloud · Salesforce
Published: May 2026
Headline outcome: 14% AUM growth from existing clients:…

Measured outcomes

What this programme actually delivered.

14%

AUM growth from existing clients: up 14%

+28

Advisor tool satisfaction: +28 NPS

The challenge

A wealth manager’s 3,400 advisors had varying levels of tech savviness. Top-performing advisors used CRM signals well; others didn’t. Outcome variation across the advisor population was driven by data-availability gaps, not skill.

What we built

Einstein Next-Best-Action surfacing client signals (life events, portfolio shifts, opportunity moments) to advisors at the right time. Recommendations are explainable (why this client now). Conversation logging feeds the model.

Outcomes

AUM growth from existing clients: up 14%
Advisor tool satisfaction: +28 NPS
Top-quartile advisor patterns now reproducible by mid-quartile
Compliance-driven explainability built in

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Wealth Manager: Einstein Next-Best-Action for Advisor Productivity

What this programme actually delivered.

The challenge

What we built

Outcomes

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