AI-generated notes hit the most universal pain point in advice.Moor Studio/iStockPhoto / Getty Images
Advisors know the real work starts after the client meeting: capturing decisions, updating their customer relationship management (CRM) profile and writing the follow-up. The quality of that “second meeting” varies wildly based on how busy you are, and clients feel it.
That’s why one category of technology is changing advisor workflows faster than anything in years: artificial intelligence meeting notes.
In the U.S., AI note-taking platforms have already raised tens of millions of dollars, according to financial planning publication Kitces.com, and the tools are expanding quickly from transcription into the broader meeting lifecycle, including CRM updates, recap e-mails, and pre-meeting agenda support.
Kitces.com estimates that around 18 per cent of U.S. advisory teams are already using some form of AI meeting notes tool – a notable foothold for a category that barely existed two years ago.
There are already various players. Transcription software Otter is ubiquitous, but not tailored for the advice industry, while advisor-specific tools Jump closed a US$20-million Series A funding round in early 2025 and Zeplyn raised US$3-million in a seed round in late 2024.
Meanwhile, Microsoft Corp.’s Copilot may be lagging niche players so far, but many firms use Teams, and adoption can move surprisingly fast once a firm’s management decides it’s safer to enable a governed option than to fight shadow usage.
So, why is notes adoption moving faster than technologies that are arguably more strategic, such as portals, financial planning tools, CRM rebuilds and data projects?
Because AI-generated notes hit the most universal pain point in advice while plugging into existing platforms, so no major software upheaval is required. Every advisor has meetings. Every meeting creates administrative drag. Reduce that drag and advisors free up time for the work that actually differentiates them: judgment, empathy and thought leadership.
Unlike initiatives in which value arrives months after making the investment, the initial return on investment from AI meeting note-taking apps can show up immediately: clearer follow-through, fewer dropped balls, faster recaps, and smoother handoffs to assistants and service teams.
When U.S. adoption moves this quickly, Canada isn’t far behind. Canadian advisors tend to lag on big platform modernization, but they’re faster in adopting tools that offer obvious productivity and service wins.
Proceeding with caution
If this feels familiar, it should. Advisors’ social media use was resisted, at first, because of concerns around reputational risk and questions about supervision. Then, wealth management firms built guardrails, and advisors’ use of platforms such as LinkedIn and YouTube became mainstream.
AI notes will likely follow the same pattern, but with higher stakes. Unlike a LinkedIn post, note-taking tools can capture sensitive client details, which raises the bar on consent, disclosure, retention, storage and access controls.
U.S. regulators have been explicit that existing obligations around supervision, communications, record-keeping and fair dealing apply to generative AI use. And Canadian securities regulators have been increasingly direct that firms should think about AI systems across their lifecycle (governance, controls and accountability), not just the shiny “use case.”
Canadian wealth management firms will translate this into practical decisions: where meeting data lives, who can see it (including vendors), what gets reviewed and when, and what the client is told. Expect extra caution to be applied for privacy and security concerns.
Advisors shouldn’t outsource their understanding of AI to their firm’s management or a vendor. They need to be using these tools in everyday life in low-risk contexts to develop intuition about the platforms’ strengths and failures, and how to use them well. Advisors who build those muscles now will be the ones shaping their firm’s policy rather than reacting to it.
Over the next year, expect more vendors, more pilots and faster integration. Mainstream firms will run pilots with “approved” tool lists; platform and CRM providers will push meeting notes and tasks deeper into their ecosystems; and the winners will be the solutions that combine workflow value with enterprise-grade governance.
If your firm is exploring a pilot, put your hand up to participate.
Trying it out vs. doing it right
The following three questions separate firms that are trying AI from those that are doing it right:
- What’s the approved use case? Is it for notes only, or for notes plus follow-ups and CRM updates? And will the outputs integrate into your firm’s broader data and workflows rather than sitting as a standalone transcript? Firms and their advisors will get more value when the meeting notes become structured, reusable data that’s usable for everything from client follow-ups to advisor supervision.
- Where does the data live and who can access it? Storage, retention and vendor permissions matter because that’s what determines whether you’re creating a compliant record or a liability.
- What’s the approach to disclosure and consent? It should be clear, consistent and repeatable, so advisors can explain it to clients easily.
AI meeting notes are being adopted quickly, but advisors still have the opportunity to be early, not reckless, and to help define what that adoption looks like at firms before it happens without their input.
Kendra Thompson is founder and principal of Epok Advice, a Toronto-based consulting firm for the wealth management industry.