Merrill’s AI Saves 4 Hours Per Meeting. Here’s What Comes Next.

Bank of America just announced that its AI-Powered Meeting Journey is saving advisors up to four hours per meeting.

Across Merrill Wealth Management and Bank of America Private Bank, the tool handles meeting prep, note-taking, and follow-up automatically. You can read the full announcement here.

More than 1,500 advisors used it in beta. It saw the fastest adoption rate of any tool the firm has rolled out in years.

That is not a marginal gain. Across millions of client meetings annually, it is a structural shift in how advisor time gets used.

And it is one data point in a pattern that has become impossible to ignore.

What the industry is building
In the last few months: Citi launched an always-on AI for wealth clients, Citi Sky. Standard Chartered committed S$15 million to an AI research lab, partnering with A*STAR. OCBC doubled adviser appointments through generative AI training,.

Now Bank of America is saving advisors four hours per meeting.
The direction is clear. Every major institution is deploying AI to make advisors faster, more prepared, and more productive.

This is exactly the right instinct. But there is a distinction worth naming, because it separates the institutions that will win from the ones that will plateau.

Faster preparation is not the same as better institutional intelligence.

The gap that still needs closing
That gap is not primarily a technology problem. Most institutions have access to the same models, the same vendors, the same infrastructure.

The gap exists because deploying AI at scale inside a regulated wealth institution requires something most have not yet built: a single governed layer where the institution’s house views, suitability frameworks, product eligibility rules, and compliance positions live in a form every AI surface can read.

Without that layer, an advisor who walks into a client meeting with four hours of prep saved is still drawing on AI that has no live house view. No governed product shelf. No current suitability framework for that client’s profile.

They arrive prepared. The AI behind them is still guessing.

Bank of America put the boundary clearly. AI “cannot replace the valuable judgment, empathy, understanding and personal connection advisors bring to clients.” Exactly right. The advisor’s judgment is not what AI should be replacing.

What AI should be carrying is the institution’s judgment, its house views, its approved positions, and its duty of care standards, expressed consistently at every touchpoint, for every client.

What winning actually looks like
The institutions pulling ahead are not the ones deploying the most AI tools. They are the ones connecting those tools to a single institutional intelligence layer so the AI always sounds like the institution.

The advisor arrives at the meeting faster and better prepared. The AI behind them knows the current house view, the approved product shelf, and the suitability constraints for that client’s profile. Every channel the client touches reflects the same institutional position.

One institution. One voice. Every client.

The next step is making sure the intelligence behind the preparation is as strong as the preparation itself. And when a regulator, a board, or a client asks whether it is, that the institution can show them.

That is exactly what Nextvestment is built to do. If you are curious what it looks like when the AI behind your advisors actually knows what your institution thinks, request a 15-minute demo with us.