AI for your role

AI for Wealth Managers

Spend less time on prep and more time with your clients.

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The shift

How AI is changing the Wealth Manager role

In 2026, AI handles much of the routine work behind client meetings, including drafting portfolio review summaries, transcribing and noting client calls, and pulling together market commentary. It also speeds up compliance documentation and the first draft of financial plans. The result is that Wealth Managers spend more hours on relationship work and judgment, less on writing and data gathering.

What AI can take off your plate

  • Transcribing client meetings and producing notes and action items
  • Drafting first versions of portfolio review summaries and client letters
  • Summarizing market news and fund research into short briefings
  • Pulling performance data and formatting it for client reports
  • Filling in CRM records and follow-up tasks after calls

What stays distinctly human

  • Building trust and reading a client's true comfort with risk
  • Making judgment calls when a client's life and goals change
  • Holding steady conversations during market fear or family events
  • Taking responsibility for advice and its consequences
  • Tailoring a plan to values and priorities a model cannot see
Tools

Five AI tools for Wealth Managers

ChatGPT
A Wealth Manager drafts plain-language explanations of portfolio changes and rephrases technical concepts for clients.
Try it →
Microsoft Copilot
Used inside Outlook and Word to summarize long client email threads and draft meeting follow-ups within the firm's environment.
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Otter.ai
Records and transcribes client meetings so the manager gets searchable notes and action items without writing during the conversation.
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Morningstar Direct
Pulls fund research and performance data, with AI features that summarize holdings and generate portfolio commentary.
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Jump
An AI meeting assistant built for advisors that produces notes, CRM updates, and follow-up tasks after each client call.
Prompts

Five prompts to try today

Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.

1. Client review summary
Summarize this portfolio performance data into a one-page client review for [CLIENT NAME], who has a [RISK PROFILE] risk tolerance and a goal of [GOAL]. Keep the tone calm and avoid jargon. Data: [PASTE DATA].
2. Explain a market move
Explain in plain language why [ASSET CLASS OR MARKET] moved [DIRECTION] over the past [TIME PERIOD], in three short paragraphs a non-expert client can understand. Avoid predictions.
3. Meeting prep brief
Create a meeting prep brief for my client [CLIENT NAME]. Account value is [VALUE], goals are [GOALS], last meeting covered [TOPICS]. List three talking points and three likely questions they may ask.
4. Reframe a hard conversation
Help me draft talking points for a client who is anxious about a [PERCENT] portfolio drop. They are [AGE] and saving for [GOAL]. Keep it honest, reassuring, and focused on their long-term plan.
5. Compare two strategies
Compare [STRATEGY A] and [STRATEGY B] for a client with a [TIME HORIZON] horizon and [RISK PROFILE] risk tolerance. Lay out the trade-offs in a simple table, and note what I should verify independently.
The playbook

Every AI play for Wealth Managers

Your full AI playbook for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.

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A day in your inbox

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Your PlaybookReport digest
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1

Go to notebooklm.google.com, sign in with a free Google account, start a notebook, and upload the report PDF (or paste its text) as a source.

2

Ask it to pull the parts that matter to you, so the answer stays grounded in the document:

Summarize this report in 8 bullet points a busy [my role] needs to know. Then list the 3 decisions or risks it raises. Quote the exact sentence behind each point and cite the page.
3

Follow up on anything unclear instead of rereading:

Where does this report talk about [topic or number]? Give me the exact lines and the page.

You get the real content and its sources in minutes, instead of skimming and hoping you caught the important part.

Your role, all in one place
  
Tools, prompts & tricks
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Your playbook
Every entry, building each week.
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How AI is changing your role
Where your work is heading.
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