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Wealth Advisor

Prospect and acquire new clients

Enhances✓ Available Now

What You Do Today

You network, get referrals, and present your value proposition to prospective clients — converting prospects into relationships through trust-building and demonstrated expertise.

AI That Applies

AI identifies prospect triggers (job changes, business sales, inheritance events), personalizes outreach based on prospect profiles, and scores leads by conversion likelihood.

Technologies

How It Works

The system ingests prospect profiles as its primary data source. The recommendation engine scores each option against the user's profile — behavioral history, stated preferences, and contextual signals — ranking them by predicted relevance. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

Prospecting becomes more targeted when AI identifies life events and financial triggers that indicate someone needs an advisor.

What Stays

The first meeting, building trust, and earning the right to manage someone's life savings — that's entirely about the human connection.

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 prospect and acquire new clients, understand your current state.

Map your current process: Document how prospect and acquire new clients 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 first meeting, building trust, and earning the right to manage someone's life savings — that's entirely about the human connection. 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 CRM AI 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 prospect and acquire new clients 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 our current capability gap in prospect and acquire new clients — and is it a people problem, a tools problem, or a process problem?

They're prioritizing which finance processes to automate first

your ERP or finance systems admin

What's the biggest bottleneck in prospect and acquire new clients today — and would AI address the bottleneck or just speed up something that's already fast enough?

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.