In this episode of Mortgage Tech Talks, we put AI to the test in a live phone call simulation. We set up an AI assistant to act as a mortgage broker’s team member, following up with a client, and then break down the results.
How natural was the conversation? What can mortgage brokers actually use this technology for today? And what are the risks and future implications as AI-powered calls become more common?
Tune in to hear the full call, my breakdown, and the opportunities—and challenges—AI phone calls present for the mortgage industry.
Timestamps:
00:00 – Intro: Setting up the AI phone call
01:05 – Why this experiment matters for mortgage brokers
01:25 – Building the AI assistant (tools + setup)
02:48 – How the AI call works (voice & prompt setup)
03:45 – The call script and goals explained
05:29 – Live AI phone call demo
07:16 – Immediate takeaways from the conversation
08:18 – What AI can do well (and what it can’t)
09:21 – The importance of “specific knowledge” in brokering
11:07 – Efficiency gains for brokers using AI assistants
12:03 – Potential downsides: will calls get commoditized?
13:31 – The future of communication (calls, texts, proof of humanity)
17:12 – Blockchain, identity, and trust in calls
18:29 – Social networks as the new trust system
19:37 – Final thoughts + what’s next for brokers
If you’re a mortgage broker, lender, or financial professional looking to understand how AI will impact your business, this episode is for you.
👉 Don’t forget to like, subscribe, and comment below with your thoughts on AI-powered calls. Do you see this as the future—or a problem waiting to happen?
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19:52
E87: AI Tools for Mortgage Brokers...Where Are They?
In this episode of Mortgage Tech Talks, we set out to uncover AI tools built specifically for mortgage brokers. But what started as a simple research mission turned into a much bigger realization: there aren’t really standalone AI tools just for brokers—and maybe that’s the point.
Instead, we explore how brokers are actually using tools like ChatGPT, Fathom, and voice AI dialers, and why the future of AI in the mortgage industry might be less about new standalone apps and more about embedding AI capabilities into existing platforms like Velocity and BluMortgage.
If you’ve ever wondered “What AI tools should I actually be paying attention to as a mortgage broker?”—this is the episode for you.
⏱️ Timestamps
0:00 – Why AI still needs context (it’s not end-to-end, it’s “middle-to-middle”)
0:17 – How mortgage brokers actually fit into AI workflows
0:33 – Why standalone “Mortgage AI” apps don’t make sense
0:54 – Introduction to today’s episode
1:20 – Looking for AI tools built specifically for mortgage brokers
2:04 – The search: are there broker-only AI tools?
3:00 – Google search results and first impressions
4:07 – Testing ChatGPT for broker-specific AI recommendations
5:22 – Four main categories of AI tools brokers are using
6:01 – ChatGPT as a thought partner, not just a search engine
6:36 – Note-taking AI tools like Fathom, Fireflies, and Otter
7:15 – AI dialers and voice tools (Voiceflow, Blend)
7:52 – OCR/document reading tools for income and docs
8:18 – Why none of these tools are truly “broker-only”
9:00 – Why ChatGPT is good enough to replace niche tools
11:06 – How ChatGPT might eat up other use cases
12:25 – Why AI growth may be slowing down (deceleration vs acceleration)
14:10 – The limits of AI: still needs context and human oversight
15:20 – The future: AI embedded in existing broker tools
16:21 – Final conclusions and takeaways
👉 If you found this discussion valuable, don’t forget to like, subscribe, and drop a comment with your thoughts on AI in the mortgage space. Do you think we’ll see broker-specific AI tools, or will ChatGPT and existing platforms be enough?
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16:46
E86: Industry Update- New Accolades, New Positions, and Big Acquisitions
In this episode of Mortgage Tech Talks, we dive deep into the latest developments shaping Canada’s mortgage, real estate, and business landscape. From how top influencers are dominating both social media and deal volume, to surprising leadership moves at Quest Mortgage, to Brookfield’s $2.9B acquisition of First National — we go beyond the headlines to explore what these changes really mean for mortgage professionals.
Whether you’re a broker, lender, or real estate pro, you’ll walk away with insights on market dynamics, influencer strategy, and the forces shaping Canada’s largest financial players.
Timestamps:
00:00 – Shopify as Canada’s biggest non-quasi government company
01:16 – Why we go deeper than the headlines in industry updates
02:03 – Ron Butler named #1 mortgage & real estate voice in Canada
03:28 – How influencer rankings work (and why they matter)
05:24 – Discovering the top mortgage influencers in Canada
06:20 – The “feast or famine” reality of mortgage social media success
08:07 – Keys to building an influential presence: education & authenticity
09:34 – Leadership move: Bucky Mendieta joins Quest Mortgage
11:13 – The rise and pause of Quest Mortgage’s operations
13:30 – Why Quest’s “pause” might be a strategic reset
14:27 – First National’s $2.9B acquisition by Brookfield & Birch Hill
16:17 – How government policy shifts impact private mortgage lenders
17:06 – Is Canada’s business environment a cartel?
18:52 – Shopify CEO on breaking through Canada’s corporate mold
20:15 – Final thoughts & key takeaways
If you found this valuable, please share it with your colleagues and peers in the industry. It helps us grow the Mortgage Tech Talks community and continue delivering relevant, no-fluff insights.
#MortgageIndustry #CanadianRealEstate #MortgageBroker #RealEstateCanada #IndustryUpdate
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20:38
E85: ChatGPT's Agent Mode- What Does it Mean for Brokers?
In this episode of Mortgage Tech Talks, we explore one of the most exciting new AI advancements — ChatGPT’s Agent Mode — and why it’s a potential game-changer for mortgage brokers, real estate professionals, and anyone in the housing industry.
You’ll see a live demo where Agent Mode goes beyond just answering questions — it literally opens a virtual desktop, clicks through RBC’s affordability calculator, uses Ratehub, researches home prices, and even starts booking appointments with mortgage brokers and real estate agents… all on its own.
We’ll break down:
What Agent Mode actually is
How it works (live example)
The opportunities and risks for mortgage brokers
Why human trust will always be irreplaceable
How to position yourself so AI chooses you in the future
Whether you’re tech-curious or already deep in AI tools, this is a must-watch to see where the industry is headed.
Timestamps:
00:00 – Live demo: ChatGPT Agent Mode opening a virtual desktop
00:17 – Navigating RBC’s affordability calculator
00:33 – Using Ratehub to compare mortgage options
00:49 – Episode intro & what to expect
01:08 – Explaining Agent Mode & “AI agents”
01:26 – Simulating a first-time homebuyer scenario
02:14 – How Agent Mode bridges research and action
03:03 – Example mortgage financing prompt setup
03:20 – Asking AI to find homes & book appointments
04:02 – How to enable Agent Mode in ChatGPT
05:13 – Inputting financial details for a real example
05:55 – Watching Agent Mode research in real time
07:12 – Why this tech has the industry buzzing
08:11 – Potential for AI-to-AI interaction
08:51 – AI booking appointments with mortgage brokers & agents
09:18 – Official ChatGPT breakdown of Agent Mode features
10:17 – Future use cases & possibilities
10:52 – AI filling out contact forms automatically
12:12 – Affordability results & neighborhood suggestions
13:04 – AI presenting real appointment slots from broker websites
14:06 – Why human trust still matters in mortgage decisions
15:38 – How client acquisition will change in the AI era
17:21 – Final thoughts on adapting to AI-driven search
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17:37
E84: Mortgage Industry Update – Summer's Not So Slow After All
MORTGAGE TECH INDUSTRY UPDATE – Summer's Not So Slow After All 🚨
In this episode of Mortgage Tech Talks, we’re diving into the latest movements shaking up the Canadian mortgage technology space. From Pineapple Financial’s dramatic stock rebound to M3 Tech’s broker-first narrative and Pine’s continued success with a borrower-first approach — this one is full of insights and analysis you don’t want to miss.
We revisit past stories, assess how they’ve played out, and challenge some of the industry’s assumptions around whether building great tech is really enough to win in today’s market.
📌 Key Themes Covered:
Is "great tech" enough for brokerages?
M3’s broker-first claims – marketing or mission?
Pineapple’s stock surge – real growth or financial maneuvering?
Pine’s Properly tool vs. HouseSigma – feature-by-feature breakdown
Strategic bets: should platforms serve brokers, broker-owners, or borrowers?
⏱ Timestamps
00:00 – The problem with relying only on great technology
00:43 – Welcome to this week’s industry update
01:20 – Why every story today is a follow-up with new data
01:56 – M3 Tech's broker-first narrative under the microscope
04:30 – Who are tech companies really building for? Brokers, borrowers, or broker-owners?
06:06 – Is M3 Tech’s adoption data telling the full story?
07:20 – Pineapple Financial surges 180%… but why?
09:32 – The real reason behind Pineapple’s stock rebound
10:43 – Great tech, weak results? A deeper look at Pineapple One
12:06 – DLC vs. Pineapple: Same market, different outcomes
13:19 – Did Pineapple build backwards?
14:36 – Why tech can’t be the foundation of a brokerage
15:03 – Pine’s borrower-first strategy and $1B in managed mortgages
16:24 – Pine’s path in a collapsing digital mortgage space
17:07 – Pine vs. HouseSigma: Which real estate tool is stronger?
20:24 – Why Pine chose to focus on fewer features
21:01 – Lessons in product design and platform adoption
22:07 – Final thoughts – what this all means going forward
📣 If you’re in mortgage tech, you need to watch this.
Don’t forget to like, comment, and subscribe so you never miss an update.
#mortgagetech #brokeragegrowth #canadianmortgage #fintechnews #mortgagebroker
Join Tom Hall (@Mortgage_Tech_Tom) in discovering the latest in the world of mortgage technology.
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