Skip to content

VP of Wealth Management

Drive digital capabilities and client portal experience

Enhances◐ 1–3 years

What You Do Today

Build and enhance digital tools for both advisors and clients — client portals, mobile apps, digital onboarding, account aggregation. Balance technology investment with the high-touch service model.

AI That Applies

AI-enhanced client portals that provide personalized insights, proactive alerts, and intelligent recommendations based on the client's complete financial picture.

Technologies

How It Works

The system ingests client's complete financial picture 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 — personalized insights — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Clients get 24/7 access to personalized financial insights, reducing the volume of routine inquiries and freeing advisors for high-value conversations.

What Stays

High-net-worth clients choose advisors based on the personal relationship, not the technology. Digital tools enhance the advisor relationship but don't replace it.

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 drive digital capabilities and client portal experience, understand your current state.

Map your current process: Document how drive digital capabilities and client portal experience works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: High-net-worth clients choose advisors based on the personal relationship, not the technology. 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 Addepar 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 drive digital capabilities and client portal experience 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 board chair or lead independent director

If we automated the routine parts of drive digital capabilities and client portal experience, what would the team do with the freed-up time?

They shape expectations for how AI appears in governance

your CTO or CIO

What would have to be true about our data quality for AI to work reliably in drive digital capabilities and client portal experience?

They own the technology infrastructure that enables AI adoption

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.