The AI race is on. Continuum is betting client context decides who wins
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AI is only as good as the client context behind it. The advisors who capture that context today will be the ones whose AI actually delivers tomorrow
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THE RECORD shows that a client is moving $10,000 into a TFSA; it does not show that the money came from shares they liquidated, or that the account is a down payment fund for a house they have not told anyone else they are considering. The reason is the part that lets an advisor open the next meeting by asking whether they found the place.
That context is about to matter more than ever. AI is only as good as the client context behind it, and most firms lose much of theirs after every meeting. “Every meeting you don’t capture is context you will never get back,” says Alex Dashefsky, co-founder at Continuum. The advisors building that context today will have years of client history for their AI to work with. Those who wait will be starting from scratch.
For clients, The difficulty is rarely a shortage of information. Plenty of clients follow economic news and understand enough about the markets to form sensible views of their own. Objectivity is harder. It tends to deteriorate as the consequences become more personal.
A client who could spot the weakness in somebody else’s retirement plan may spend two years circling a decision about their own because it involves shares they have held for a decade, cash they may need for a house, or money spread across accounts with different tax consequences.
Continuum is an AI-powered client intelligence platform built for Canadian financial advisors. It captures and summarizes meetings online, in person or by phone, without adding a bot to the call. Advisors can use those conversations to draft follow-ups, update CRM records, and build richer client profiles over time. With Pages, advisors turn meetings and documents into polished, interactive deliverables clients can explore and ask questions about. Continuum helps advisory teams scale high-touch service without scaling headcount. Headquartered in Toronto, Continuum is SOC 2 Type II certified, PIPEDA-compliant, and Canadian data resident. Learn more at oncontinuum.com.
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“You can build 12 tax strategies in five minutes. Cool. What do you do with the 12?”
Daniel Asper,
Continuum
Published Oct 19, 2026
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“If AI gives you a highly capable teammate, put it to work making the client experience radically better”
Alex Dashefsky,
Continuum
Continuum's three co-founders came to that problem from different directions. Daniel Asper and Matthew Tory became interested in it after leaving Shopify, where Asper worked in product management and Tory was a lead engineer. What began as their side project, One Place, was supposed to give families and advisors somewhere better to work through financial decisions together. Alex Dashefsky, who had built a direct-to-consumer business and worked in venture capital, got involved after his own family began testing an early version. He moved from the US to Toronto, and the three built Continuum together.
The product changed once they watched people use it. Advisors were responsible for roughly 90 percent of the engagement. Clients wanted a clear way to consume the information; advisors were doing the work of keeping it current, returning to earlier conversations, and figuring out what had to happen next. The founders started spending more time with advisors and visiting their offices. What they found was less a software problem than an odd mismatch between the job advisors were doing and the machinery underneath it.
The context that never makes it into the CRM What the founders observed in advisory offices was that the role had become broader than the systems built to support it.
Advisors, Asper says, are expected to be “the quarterback of a relationship over your entire financial life,” drawn by default into tax and estate matters, financial planning, and insurance. Often the advisor is expected to recognize that these discussions should happen before the client thinks to raise
The founders heard a version of this from an executive at a firm managing roughly $50 billion. When he asks his best advisors why their practices continue to grow, clients rarely point to investment performance. They talk about the advisor who remembered their children’s names or brought up an education savings account before they had thought to ask. The relationships that endure tend to be built on that kind of attentiveness. The longer that understanding compounds, the harder it becomes to replicate through a one-off recommendation or a purely transactional service.
The difficulty is that the understanding tends to be a personal asset rather than a firm one. Asper estimates more than half the industry is over 50, which puts a large number of books into transition, and context held in one advisor’s memory does not transfer with a client list.
New associates often inherit a CRM with gaps in the client record, the natural result of years of manual upkeep across many households, and then spend months reconstructing through observation what the system was never able to fully capture. Dashefsky says firms using Continuum have brought assistants up to speed in days rather than months, because they can query an exhaustive client record and have a conversation with it instead of shadowing the advisor.
Large language models are designed to be helpful and accommodating, but more information is not necessarily the same as better judgement. An advisor has a different obligation. Someone expecting to advise the same family for another 10 or 20 years has to be willing to disagree when the facts warrant it, listen closely to the client, and work with them to choose the right path forward. That means taking real ownership of the decision together, not simply generating an endless set of possible strategies − particularly when the client may not know which questions to ask in the first place.
With a general-purpose AI tool like ChatGPT, “you can build 12 tax strategies in five minutes,” Asper says. “Cool. What do you do with the 12?”
What six months of context looks like The first and more practical use of tech stacks is reducing the amount of attention consumed by everything that surrounds advice.
Asper points to what has happened in medicine. AI scribes are increasingly being used to handle some of the documentation generated during patient visits, allowing doctors to spend less of the appointment typing into a computer.
“In a lot of these industries, the technology is just something that takes the cognitive burden off the back-end admin part of the person’s job and allows you to focus on your client,” he says.
Advisors do not generally complain that they lack things to discuss with clients. Their complaint is admin time. Meetings produce notes, tasks, compliance requirements, follow-ups, and changes that have to be entered into systems that often do not communicate particularly well with one another.
Dashefsky recalls asking advisors what they wanted most from technology. The answer was not especially complicated. “It’s the easiest one. ‘I want more time.’ Who doesn’t want more?”
The question for Continuum was what that extra time should be used for. Saving an advisor 20 minutes has limited value if the result is simply another 20 minutes of administration elsewhere.
“If AI gives you a highly capable teammate, put it to work making the client experience radically better,” Dashefsky says.
The objective is to automate enough of the surrounding work that the advisor can do more of the part clients are actually paying for.
In practice, that could mean arriving at a meeting already knowing which commitments from the previous conversation remain outstanding. It could mean surfacing an RESP conversation because a child is approaching the relevant age or bringing forward an estate-planning issue that has been postponed twice.
Where Continuum sees the gap
Continuum was built around
the advisor after advisors drove roughly 90% of engagement with its early product
The platform connects conversations, decisions, and tasks instead of leaving them scattered across systems
Its AI is designed to work from accumulated client history rather than isolated prompts
Client knowledge can remain usable as assistants join, teams grow, or advisors retire
The product was built around Canadian dealer structures rather than adapted from a US RIA model
Where Continuum sees the gap
The reason behind a financial decision is often harder to recover than the decision itself
Important tax, estate, or education conversations can remain unresolved across several meetings
Family changes and future plans rarely fit neatly into a CRM field
Advisors accumulate knowledge about how clients react to risk, uncertainty, and trade-offs
When an advisor retires, much of that context can leave with them
them. The problem is that the knowledge needed to do that develops gradually, in pieces, and much of it remains scattered across an organization − living in people’s heads rather than being captured in the software.
An advisor finishes a meeting and then has to manually update tools like the CRM and task management systems, often while moving straight into the next client interaction. In that environment, updates can be inconsistent or notes can become less detailed over time simply because of the effort required to capture everything by hand. The financial plan is updated if the conversation warrants it, followed by email and whatever else needs to happen before the next client arrives. Across five conversations a day, plus email, much of the substance and nuance critical to highly personalized relationships never survives the trip.
For the founders, that also meant resisting the familiar idea that some white knight from the US technology market would eventually arrive with the answer. Canada is a distinct market with its own needs and operating realities, and that distinctiveness extends to account structures, dealer relationships, compliance requirements, and approval processes. A product designed elsewhere and retrofitted later was unlikely to solve the problem they were seeing in advisors’ offices.
So they set out to build that answer themselves, in Canada and for Canada. Continuum’s team is here, client data stays here, and the product was designed from day one around Canadian dealer structures, Canadian compliance requirements and the tools Canadian advisors already use, rather than adapted from a US model after the fact. For the founders, it is also a bet that Canadian advisors deserve technology built with the same ambition as anything coming out of Silicon Valley.
Canada has developed differently. “There’s layers of responsibility, where in the US there’s federal law that you have to comply with and then individual decision-makers,” Dashefsky says. An advisor can identify software that would improve the practice and still have little authority to adopt it. For a technology company, winning over the advisor is the beginning rather than the end; the firm, its technology group, and the dealer may all have a say.
Continuum decided to build inside those constraints rather than wait for products designed for the American market to work their way north. “We made a conscious choice to set up the team in Canada,” Asper says. “We’ve moved Alex from the US.”
That approach is resonating at the dealer level. Continuum has signed exclusive distribution agreements with Carte Financial, Sterling Mutuals, and Monarch Wealth, opening the platform to their advisor networks, with more dealers to follow. Advisors at nearly 500 Canadian firms managing over $150 billion, including IPC Wealth, iA Private Wealth, and Manulife Wealth, now use Continuum, which is SOC 2 Type II certified, keeps client data in Canada, and audit-logs client consent. “We view this as a tool for amplifying the human element of our advisors’ work,” says Richard S. Pyper, CEO of Monarch Wealth. “It moves beyond mere transcription by translating client conversations into actionable insights.”
The cost of waiting
The founders’ argument comes down to timing. AI models will keep improving, and the gap between tools will narrow. The gap between a firm with years of structured client history and one starting from scratch will not. Context that was never captured cannot be generated later. “The technology is getting better every month,” Asper says. “The firms that win will be the ones investing early in the data and client context that make AI more valuable over time.”
Continuum is trying to go a step further, so that the information around a client doesn’t just sit in a system but stays connected to the work being done.
The advantage is not a better CRM or another AI assistant. It’s maintaining a wealth practice that doesn’t lose what it knows about clients as it grows; where context doesn’t languish in an inbox, notes, or individual memory; and where that understanding can still be picked up and used even as teams change over time.
Advisors and firms can book a demo at oncontinuum.com/book-a-demo.
During the meeting, Continuum captures the conversation without a bot on the call, and client consent is audit-logged. Afterward, notes, tasks, and follow-ups sync to the CRM.
What separates Continuum from the growing number of platforms adding generative AI to existing workflows is not simply that it uses AI, but how it uses it. The proposition is that years of conversations, decisions, tasks, and client circumstances should become usable institutional knowledge. Asper’s description of advisors as “conversing with your business” is significant for that reason: the value of the conversation depends on how much of the business the system actually knows.
It also makes that attentiveness less dependent on one person having an exceptional memory. For an industry approaching a substantial succession problem of its own, the point extends well beyond AI. If the history behind the accounts is scattered between a retiring advisor’s memory, a partly completed CRM, and years of emails, the successor inherits the assets without necessarily inheriting the knowledge that kept them there.
Built for how Canadian firms buy
The mismatch between the job and the tools is particularly noticeable in Canada. An American independent who wants a tool can generally adopt it and clear it with their own compliance function. A Canadian advisor works through the firm, the firm’s IT function, and the dealer’s, a sequence that turns a decision into a campaign. “I may want the best technology and I may be out there finding it,” Dashefsky says of the independent’s position here, “but I’m fighting my dealer to be able to use it.”
Turning context into something clients see
The part Continuum sees as its core differentiator comes after the meeting. With Pages, advisors turn a conversation and their own documents into a branded, interactive deliverable for the client, such as a proposal, a financial plan or a meeting recap. Clients can explore it and ask its built-in AI questions, and advisors can see what was opened and what was asked before the next conversation.
The founders see Pages going further still: bringing in more sources of data, such as custodial and insurance carrier data, alongside everything Continuum already captures, and turning it into a single deliverable a client will actually read. It is already translating into results. Advisors using Pages say they are closing new prospects faster, because a prospect leaves the first meeting with something built around their own situation rather than a generic follow-up email.
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