How is AI used in wealth and asset management?

The most documented AI use cases in wealth and asset management are AI knowledge assistant for wealth advisors and relationship managers, AI meeting notes and CRM update for wealth advisors and AI summaries of investment research and the house view, across 47 public deployments by 39 organizations in the Blits.ai AI Use Case Library. 2% of public deployments in wealth and asset management put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.

Data report

State of AI in wealth and asset management

What 47 documented AI deployments by 39 organizations in wealth and asset management say about who uses the AI, how far it acts on its own and how often the result is proven, set against the whole library.

Computed live from the library on 12 November 2026. By Len Debets.

Deployments

39 organizations in 13 countries

Face the customer

The AI works with customers directly; 31% across the library

43%

Agentic

The AI completes work itself; 63% across the library

68%

Disclose an outcome

A measurable result is public; 61% across the library

Who works with the AI

2% of public deployments in wealth and asset management put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.

Public deployments by who uses the AI

Employee facing
40
Back office
9
Customer facing
1

How far the AI acts on its own

43% of public deployments in wealth and asset management belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.

Public deployments by autonomy level

Copilot
32
Assist
11
Supervised agent
6

Where the deployments come from

64% of the public deployments in wealth and asset management are by organizations in North America. 70% date from 2025 or 2026, against 57% across the library.

Public deployments by region

North America
30
Europe
9
Asia Pacific
5
Global
3

How often the result is proven

68% of public deployments in wealth and asset management disclose a measurable outcome, against 61% across the library. Of the 25 reported metrics, 10 came from a vendor rather than from the organization itself.

Who made the claim (reported metrics)

Organization
15
Vendor
10

The most documented use cases in wealth and asset management

Ranked by the number of wealth and asset management organizations with a public deployment.

AI knowledge assistant for wealth advisors and relationship managers8 organizations
AI meeting notes and CRM update for wealth advisors8 organizations
AI summaries of investment research and the house view5 organizations
AI analysis of earnings calls and other text for investment signals4 organizations
AI next best action prompts for wealth advisors4 organizations
AI review and extraction of existing estate and trust documents4 organizations
AI generated client portfolio reports and commentary3 organizations
AI assistant for goal based financial planning2 organizations
AI assistant for investment suitability assessment and reports2 organizations
AI enterprise knowledge search for employees2 organizations

Frequently asked questions

How is AI used in wealth and asset management?: The most documented AI use cases in wealth and asset management are AI knowledge assistant for wealth advisors and relationship managers, AI meeting notes and CRM update for wealth advisors and AI summaries of investment research and the house view, across 47 public deployments by 39 organizations in the Blits.ai AI Use Case Library. 2% of public deployments in wealth and asset management put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.
How many AI deployments in wealth and asset management use AI agents?: 43% of public deployments in wealth and asset management belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.
How often do wealth and asset management organizations prove the results of AI?: 68% of public deployments in wealth and asset management disclose a measurable outcome, against 61% across the library. Of the 25 reported metrics, 10 came from a vendor rather than from the organization itself.

About this report

This report counts every public deployment by an organization in wealth and asset management, whatever the use case, and sets it against all 1921 public deployments in the library. The industry hub counts only the use cases tagged with this industry, so its totals can be lower. Every figure is computed with the rules on the methodology page, from the open data (CC BY 4.0). The sample reflects what organizations choose to publish, which skews toward large organizations and successful projects.