Bank of America rolls out AI meeting tool across Merrill and Private Bank businesses

Bank of America is deploying its AI Meeting Journey tool across Merrill Wealth Management and its Private Bank, automating prep, notes, and follow-up tasks. The bank says it can save advisors up to four hours per meeting.

Categorized in: AI News Management
Published on: Mar 28, 2026
Bank of America rolls out AI meeting tool across Merrill and Private Bank businesses

Bank of America Rolls Out AI Meeting Tool Across Wealth Management

Bank of America has begun deploying its AI-Powered Meeting Journey tool across Merrill Wealth Management and its Private Bank division. The tool prepares client meeting materials, generates automated summaries, and organizes follow-up tasks for advisors.

This marks a broader shift across the banking industry to embed AI agents and automation into advisor workflows. The focus is on documentation, compliance support, and client communication-areas where large banks compete directly with JPMorgan, Morgan Stanley, and Goldman Sachs.

What the tool does

Meeting Journey automates meeting preparation and note-taking with client consent, then converts discussions into actionable tasks. Early users report workflow improvements, suggesting the system is already in live client settings rather than sitting unused.

The tool compresses administrative work into the background, freeing advisors to spend more time on complex planning conversations and relationship building. Bank of America claims the system can save up to four hours per meeting.

What matters for managers

For management teams, the key question is adoption. Will advisors actually use the tool beyond the initial 1,500 beta users? Broad adoption determines whether the claimed productivity gains translate into measurable business results.

The tool sits inside core advisory processes, not at the edge of the business. If it fails to gain traction or creates compliance rework, the efficiency benefits analysts expect from digital investment become harder to realize.

AI for Management professionals should understand that this type of deployment-embedding AI into existing workflows-requires careful attention to system integration, staff training, and accuracy monitoring.

Risks to watch

  • Higher automation in client meetings increases dependence on AI outputs. Errors, biased summaries, or data security issues could trigger regulatory or reputational pressure in a heavily supervised segment.
  • Integration with systems like Salesforce and Zoom could prove costly or disrupt advisor workflows, adding execution risk.
  • Competitors are investing in similar tools. If peers deploy superior technology, any competitive edge narrows quickly.

Potential upside

  • If time savings materialize at scale, advisors can handle more complex planning work, supporting deeper client relationships and fee-based mandates.
  • A firm-specific AI stack in wealth management helps Bank of America compete for high-net-worth clients where digital capabilities increasingly matter.

Signals to track

Watch for adoption metrics: How many advisors use Meeting Journey regularly beyond the beta phase? Monitor management commentary on advisor productivity, client satisfaction, and cross-business referrals tied to AI tools. Pay attention to how competitors respond with their own advisor technology. Finally, track risk disclosures related to AI use, including data privacy and compliance issues, which signal how aggressively the bank will roll out similar tools elsewhere.


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