AI meeting notes and CRM update for wealth advisors

Merrill Wealth Management and Bank of America Private Bank rolled out an AI meeting solution at full scale in March 2026. It consolidates client relationship insights and recent activity into meeting preparation material, takes notes in virtual meetings with client consent, and turns the decisions into a summary, tasks and documentation afterwards. The bank says the capability can save advisors up to four hours per meeting; it presents this as potential, not as a measured result, so it is not recorded as a metric here.

Morgan Stanley Wealth Management launched AI @ Morgan Stanley Debrief in June 2024. With client consent, the tool takes notes in client meetings, surfaces action items, summarizes the key points, drafts a follow up email for the advisor to edit and send at their discretion, and saves a note into Salesforce. The release quotes advisors on the time saved on note taking (one cites about half an hour per meeting) but gives no firm wide measurement.

Korhorn Financial Group, a registered investment advisory firm founded in 2001 with close to 1 billion US dollars under management, adopted the AI notetaker Zocks to capture meeting details and update its Zoho CRM and eMoney records automatically instead of by hand. Founder Kevin Korhorn and Systems and Operations Manager Summer Hathaway built templates and prompts so the tool performs data entry across the firm's practice areas and drafts client emails.

Post meeting admin time dropped from 20 to 30 minutes to five minutes per meeting, a saving the firm says adds up to more than eight hours per advisor each week, which it reallocates into about five additional client meetings a week, or capacity for 36 new clients per advisor a year.

Osaic Advisors Fort Lauderdale, Managing Partner Neal Slafsky's practice with roughly 150 clients and 1.14 billion US dollars in assets under advisement, adopted the AI notetaker Zocks to capture meeting notes with speaker attribution and sync more than 370 data fields automatically into its eMoney planning software, alongside its Practifi CRM, instead of by hand. The practice, aiming to grow toward 2 billion US dollars without adding headcount, added 22 million US dollars in new assets under advisement in two months after adopting the tool, and reports the automated data entry it replaced added up to more than 2,000 hours of staff time a year, worth about 125,000 US dollars annually.

RFG Advisory, a wealth firm with more than 8 billion US dollars in assets under management, evaluated Jump, Fathom, Otter and other tools, as Vice President of Technology and Operations Jordan Hutchison describes, and chose the AI notetaker Zocks because, the case study says, it is built specifically for financial advisors and does more than take notes. Across more than 150 advisors, Zocks structures meeting data for two way integrations with the CRM and financial planning systems, fills out client forms and manages follow up workflows, so client information flows through RFG's tech stack and advisors act on it instead of manually transferring notes between systems.

Quilter, a UK wealth manager, rolled out Microsoft 365 Copilot and names meetings and transcriptions as its biggest use case. Microsoft reports that Quilter estimates Copilot will save more than 13,000 hours per month of post call admin time; an investment manager at Quilter Cheviot builds that estimate from an assumed 45 minutes saved per client meeting across 174 investment managers doing about 100 meetings each. Both figures are projections, not measured savings, so neither is recorded as a metric. Quilter also tested turning a portfolio manager interview transcript into an investment commentary: about 15 minutes of prompting and half an hour of editing instead of a few days, which it describes as a one off test.

SEB, a Nordic corporate bank, worked with Bain & Company to build an AI agent on Google Cloud for its wealth management division. The agent suggests responses during conversations with customers and generates call summaries afterwards. Google Cloud reports a 15% efficiency gain.

Commerzbank implemented an AI agent on Gemini 1.5 Pro that automates the documentation of client calls, a manual task for its financial advisors. Google Cloud reports a significant reduction in processing time, which lets advisors spend more time with clients, but gives no figure.

UniSuper, an Australian superannuation fund, uses Microsoft 365 Copilot to produce file notes that summarise the key details of each adviser conversation with a member held on Microsoft Teams. Microsoft reports advisers save roughly 30 minutes per client interaction; the fund also says the notes give it better visibility of interaction quality. The annual hours and extra members advised are projections and are not recorded.