Bloks. The Un-CRM.
The AI Virtual Assistant for Financial Advisors: Ask Bloks
You are twenty minutes from a review meeting. The client asked about their daughter’s tuition plan last spring, and you remember the conversation but not the number. So you open the CRM, then the email thread, then a PDF you saved in March. Fourteen minutes gone. Ask Bloks removes that search entirely. You ask a plain language question, and your own book of business answers it with cited answers drawn from the client conversation itself.
Capture and recall
What an AI Assistant for Financial Advisors Actually Offers
An AI assistant for financial advisors does two jobs that look similar and are not. The first job is capture: meeting notes, client emails, documents, calls. The second job is recall. Most AI assistants in wealth management stop at capture and hand the financial advisor a transcript, summaries and more admin work. Virtual assistants built for sales teams scale worse, because an advisory practice runs on recall.
Ask Bloks is the recall layer of the AI platform, and it sits inside the full Bloks platform alongside capture, note-taking, follow-up emails, coaching and document creation. One feature feeds the other. Zero data entry, no forms, nothing typed twice.
From CRM Search to a Plain Language Question
Your CRM answers the question you knew how to ask. Your CRM returns records that match fields, so the query only works if you already know where the client data lives. A natural language question works differently. You ask Bloks “which clients mentioned selling a business this year,” and the AI assistant reads across every client conversation, email and document it has captured, then returns the matching client profiles and the moment each one said it.
That changes when you ask, too. Financial advisors query most often in the ten minutes before a client meeting, which is why pre-meeting context matters and the AI-powered virtual assistant connects directly to meeting prep software for advisors and assembles full context in under 60 seconds.
Ask Bloks · whole book
3 matches
Which clients mentioned selling a business this year?
SL
Sara Lecavalier
“We’ve had an offer on the clinic.” · June 4 call
Cited
MT
Marcus Thorne
Buyer lined up for the shop · Email, May 21
Cited
HF
Harris family
Selling the family business in the fall · March 12 review
Cited
Each name arrives with the moment it was said.
The Hours Advisors Lose Looking for What They Already Know
Search is invisible admin work, and no CRM removes it. Documentation, data entry and back-office retrieval already take the advisor’s evenings. The client data exists. The advisor captured it. Retrieval is the tax, and the advisory practice pays it in time that never reaches a client relationship.
Bloks removes the tax by making relationship history and client conversations queryable:
Client conversations captured from Zoom, Microsoft Teams and in-person client meetings
Client emails, calendar and scheduling context from Outlook and Gmail
Uploaded documents, KYC forms, financial plans and legacy PDFs
Client profiles, portfolio notes and relationship history that update themselves after every client conversation
Your book of business
Ask Anything Across Your Book of Business
You can ask anything. Ask Bloks answers questions about one client, a segment, or the entire book of business, in plain language, with no query syntax and no report builder. A question about a single household returns a single answer. A question about the whole advisory practice returns a client profile list you can act on this afternoon. Every answer carries its source.
Bloks
One way in, just ask.
Cited Answers, Source-Backed to the Original Client Conversation
Cited answers are what separate a useful AI assistant from a confident one. Bloks returns source-backed answers that link to the client conversation, email or document the claim came from, with the date, the speaker and the audit trail attached. You verify in one click, which is how advisors find answers inside client histories without taking the machine’s word for anything.
The illustrative case is small and it is the point. Ask “what is the name of his dog,” and Bloks answers, and shows you the minute of the April call where the client said it. Trust in an AI assistant gets built on the trivial question first, then on the compliance answer.
Ask Bloks · Marcus Thorne
Answered
What is the name of his dog?
“Biscuit. He turns twelve in June.”
Marcus Thorne · April 14 call · 23:41
Source
Transcript and audio linked
Date, speaker and audit trail attached
Verified
One click from the answer to the minute it was said.
Book-Level Analysis Across Every Client Profile
Book-level analysis is where recall turns commercial. Ask which clients have held-away assets, which have an RRSP contribution gap, which mentioned a liquidity event, or which have no documented client conversation in eleven months. The AI assistant returns the matching client profiles, and each name arrives with its cited answers and relationship history attached.
1
Ask the natural language question in plain language
2
Review the matched client profiles and their cited answers
3
Send the outreach, tracked through advisor client follow-up software
Advisors ask Bloks for the same book-level analysis every quarter: held-away assets by household, clients with no documented client conversation in twelve months, KYC gaps, prospects who went quiet, and the assets under management sitting one question away from a referral. Reporting that used to need an analyst now takes one sentence. Growth opportunities surface from client conversations you already had, without a report builder or a new AI tool. AUM follows the advisor who remembers.
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14 days, every feature, no credit card. Connect your client emails and calendar, and the AI assistant reads 12 months of relationship history before you ask anything.
Self-updating
How the Virtual Assistant Builds and Updates Its Own Answers
A virtual assistant is only as good as what it knows. Bloks builds self-updating profiles from client conversations you are already having, so the answers stay current with zero data entry and no maintenance. No fields. No forms. The Un-CRM position is literal here: the AI platform does the admin work, the financial advisor does the relationship.
Self-Updating Profiles From Meetings, Emails and Documents
Self-updating profiles assemble from four inputs: meetings, emails, calls and documents. Botless capture records the client meeting without joining it, so no recording bot appears in the participant list, and the AI notetaker for financial advisors structures what was said into meeting notes, action items and a meeting summary. Client data enters the client profile automatically, in real time, with no data entry.
Real time matters less than completeness, and no headcount gets added to keep the records current. A client profile that updates after every interaction is a profile you can query in six years, after two associates have left and the book has transferred twice. Institutional memory stops walking out the door with the client profile, the relationship history and the CRM login.
What the AI assistant reads to build client profiles:
1
Meeting notes, transcription and the meeting summary from every client conversation, produced by AI
2
Client emails, calendar entries and scheduling context from Outlook and Gmail
3
Uploaded documents, KYC forms, KYP letters and financial plans
4
Action items and follow-up emails already tracked in your workflows, including form fill and onboard clients steps
Client profile · Harris family
Updated today
Annual review
Meeting notes, transcript and summary · March 12
Added
Re: RESP contribution
Client email · Outlook
Added
Financial plan 2026
Uploaded document · KYC on file
Read
Send the beneficiary form
Action item · Due Friday
Tracked
Zero data entry. Updated after every client conversation.
Zero Data Entry, Standalone or Synced With Salesforce, Wealthbox and Equisoft
Zero data entry is the design constraint. Bloks runs standalone, or it two-way syncs with the CRM your practice already uses: Salesforce, Wealthbox, Equisoft and Laylah are confirmed integrations, and advisors running Redtail, Zoho, Maximizer or eMoney keep their planning tools in place. Financial planning software stays where it is, the integrations run two ways, and no client data gets migrated on day one. Bloks does not automate the advisor out of the relationship, it automates the filing.
Manual CRM updates are the habit this replaces, and advisors who eliminate manual CRM updates stop maintaining a CRM that was never designed to answer questions. Data entry falls to zero. The integrations do the reconciliation, the client data stays consistent across planning tools and CRM, and the advisory practice keeps one source of record.
Security and privacy
Security, Privacy and Compliance: AI Software Built for Regulated Advisors
AI software for a regulated advisory practice carries a higher bar than AI software for a sales team. Compliance is the first question every head office asks, and the compliant answer has to be specific: security controls, privacy commitments, audit trails and client consent. Security, privacy and client consent are not settings in Bloks. They are the architecture.
Compliant by Design: SOC 2 Type II, PIPEDA and Canadian Data Residency
Bloks is independently audited under SOC 2 Type II, and the security review is available before you connect a CRM. Client data stays under Canadian data residency, governed by PIPEDA, with encryption at rest and in transit and audit trails on every record. U.S. practices under SEC and FINRA supervision are supported, and Canadian financial institutions under CIRO oversight operate inside the same controls. The compliance guide for Canadian advisors walks through what an examiner actually asks for.
Documentation is a compliance asset here, not a byproduct. A KYP letter generated from the client conversation traces back to the meeting that produced it.
The fixed compliance proof set every advisor and compliance officer asks about:
SOC 2 Type II attestation, independently audited
PIPEDA governance and Canadian data residency for all client data
Encryption at rest and in transit, with audit trails on every record
Flexible client consent, recorded per meeting
Client data never used to train AI models
SEC, FINRA and CIRO supervision supported for every advisory practice
Your Client Data Is Never Used to Train AI Models
Your client data never trains an AI model. That is a flat commitment, not a configuration option, and it holds whether your firm is an RIA, an MGA or a two-advisor wealth management practice. A CFP working remotely gets the same controls as an enterprise team. Client consent is flexible and recorded per client conversation, and the audit trails hold. The privacy-first advisor makes the fuller argument for why this matters before you connect anything.
Security review
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Bring your compliance questions, not only your calendar. A real person walks your head office through the security controls, the audit trails, data residency and the client consent model.
Before you start
FAQ: Using an AI Assistant in an Advisory Practice
Four questions financial advisors and compliance officers ask about AI assistants before they start.
Is an AI virtual assistant the same as an AI meeting assistant?
No. The AI meeting assistant for financial advisors, Bloks Meeting Intelligence works during the meeting: it captures the conversation, writes the notes and drafts the follow-up. Ask Bloks works afterward, across everything already captured, from meeting preparation notes to last year’s documents. One records the client meeting, the other answers questions about it. Bloks does both, and they stay separate features for a reason.
Does Ask Bloks replace my CRM?
It can, and it does not have to. Bloks is the Un-CRM because the AI assistant feeds itself instead of demanding data entry, and many financial advisors run it standalone. Firms that keep Salesforce, Wealthbox or Equisoft get two-way sync with their planning tools, and a named person handles CRM migration for free if the firm later drops the CRM entirely.
How do I verify an answer Bloks gives me?
Every answer links to its source. Click the citation and you land on the client conversation, email or document, at the point the client data was said or written, with the date attached. Verification of any answer takes one click, and the audit trail behind those cited answers satisfies documentation and compliance requirements.
Does it work in French for Quebec practices?
Yes. The AI platform, onboarding and support are bilingual, and Quebec financial advisors work entirely in French if they choose. Client meetings are supported in 80 languages, which covers cross-border and multilingual advisory practices without separate configuration.
Just ask
One Way In, Just Ask
Financial advisors do not need another AI tool to open. They need one question to ask, and one AI assistant to ask it. Ask Bloks is one input box over everything your advisory practice already knows, with every plan including every feature. In 2026 Bloks was named one of Canada’s Top 100 AI Startups at ALL IN, and cofounder Marc Gingras joined Mila as Founder in Residence.
Save Time on Every Client Question You Ask
Every answer you no longer dig for is time handed back to the relationship. Productivity shows up as presence, not as a dashboard. You walk into the client meeting knowing the tuition number, the dog’s name, and the follow-up you promised in March.
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Every client, your only client.
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