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Wealth Advisor

Conduct client review meetings and financial check-ins

Enhances✓ Available Now

What You Do Today

Present portfolio updates, discuss market outlook, review progress toward financial goals, and address client questions and concerns. Navigate market anxiety, life changes, and evolving financial priorities.

AI That Applies

AI prepares meeting agendas with client-specific talking points, generates visual reports, and surfaces relevant financial planning opportunities based on client profile changes.

Technologies

How It Works

The system ingests client profile changes as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — relevant financial planning opportunities based on client profile changes — surfaces in the existing workflow where the practitioner can review and act on it. The core value of wealth advice is the trusted relationship.

What Changes

Meeting preparation becomes more comprehensive, with AI identifying conversation topics the advisor might not have considered.

What Stays

The core value of wealth advice is the trusted relationship. Calming a panicked client during a market crash, celebrating milestones, and helping families navigate difficult money conversations are irreplaceable human skills.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for conduct client review meetings and financial check-ins, understand your current state.

Map your current process: Document how conduct client review meetings and financial check-ins works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: The core value of wealth advice is the trusted relationship. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support eMoney Advisor tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long conduct client review meetings and financial check-ins takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your CFO or VP Finance

What's the biggest bottleneck in conduct client review meetings and financial check-ins today — and would AI address the bottleneck or just speed up something that's already fast enough?

They're prioritizing which finance processes to automate first

your ERP or finance systems admin

What's the risk if we DON'T adopt AI for conduct client review meetings and financial check-ins — are competitors already doing this?

They know what automation capabilities exist in your current stack

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.