Mortgage Tech Talks

In this episode, Tom Hall breaks down the hidden competition between major AI companies that most people don't see. Discover why programming has become the dominant use case for AI models—accounting for 50% of all API usage—and why Anthropic (Claude) is quietly dominating with 60% of this massive market. 📊 Key Insights: Token usage has grown 14x in the past year Programming went from 11% to 50% of all ChatGPT/Gemini usage in just 6 months Anthropic controls 30% of the entire AI market through programming dominance Google, OpenAI, and other competitors are playing catch-up 📌 Timestamps: 0:00 - Opening statement 0:28 - Introduction 1:38 - The problem: What's driving AI growth? 1:55 - How AI companies make money (subscriptions vs. API) 2:46 - Understanding tokens and APIs 4:19 - Shocking token usage data (500B → 7T) 5:29 - Analyzing prompt vs. completion growth 7:31 - Which use cases are driving growth? 8:32 - Programming reveals itself as the leader 11:38 - 50% of AI usage is programming 12:10 - Anthropic's surprising market dominance 13:35 - Market share breakdown 14:18 - The strategic choice for AI CEOs 15:00 - Implications for the next 2-3 years 16:11 - Bold predictions 17:30 - Closing

What if the biggest threat to mortgage brokers over the next decade isn’t AI replacing your job — but something far more subtle? In this episode of Mortgage Tech Talks, we break down a 4-step scenario that has already played out in other financial industries… and could reshape the mortgage landscape in the next 5–10 years if we’re not careful. This isn’t fear-mongering. It’s a realistic look at how technology adoption, lender expectations, and regulator pressure could quietly divide the industry into two branches — one that thrives, and one that slowly gets left behind. You’ll hear: The two “branches” brokers will fall into as AI becomes standard Why trust at scale could create a massive performance gap How lenders and regulators might tighten requirements What happened in the home & auto insurance industry (and why it matters now) The one thing brokers can control to prevent the mortgage channel from losing innovation If you care about the long-term health of this industry — and your place in it — this is a conversation you should hear. Timestamps 00:00 – Why the future of the broker channel may split into two branches 01:14 – The real risk facing the industry (it’s not job loss) 02:03 – Step 1: The new technology wave begins 03:27 – Step 2: Tech adopters vs. non-adopters 08:48 – Step 3: How lenders & regulators might elevate one branch 13:18 – Step 4: What happens if non-adopters fall behind 17:36 – The insurance industry example — and the warning it gives us 19:00 – The silver lining and how brokers can protect innovation

Should mortgage brokers stick with ChatGPT — or is it time to explore the new AI tools that are suddenly outperforming it? In this episode of Mortgage Tech Talks, we break down whether brokers should consider switching to alternatives like Google Gemini 3, Grok 4.1, and Claude, all of which are now ranked above ChatGPT in real user preference tests. We cover what’s changed, why these new models matter, how the AI landscape is shifting, and what this means for your daily workflow as a mortgage professional. If you want to stay ahead of the curve and get the most out of AI in your business, this episode is worth your time. Timestamps 00:00 – Why brokers are questioning ChatGPT’s dominance 01:26 – The major AI competitors you should know 03:43 – How new models like Gemini and Grok are performing 08:21 – The shocking ranking: ChatGPT drops to fourth 14:48 – Lessons from past tech giants and what it means for AI today

In this episode, I break down a trend that caught me off guard at the Canadian Mortgage Conference — and honestly, I didn’t fully believe it until I dug into the numbers myself. Technology isn’t just supporting Canadian lenders… it’s becoming the core reason they’re getting acquired, merging, or expanding their reach. From the Neighborhood x Fisgard deal, to NSO acquiring CMS, to Alta West merging with Premier — the pattern is undeniable. And if you're a broker choosing lender partners or a lender trying to stay competitive, understanding this shift is critical.

AI in mortgages that actually saves time, not hype. On this episode of Mortgage Tech Talks I sit down with Lucas Scheer, co-founder of Purelend. We dig into what AI can do today for brokers, why trust still wins in real estate and lending, and how document collection, usable income, and down payment verification can be automated without losing the human touch. What you’ll learn The real advantage for brokers who use AI vs those stuck in manual review How Purelend structures down payment checks, stated income analysis, and doc organisation for lenders and brokers Where full automation fails and why a copilot model makes more sense Accuracy, hallucinations, and how to combine human review with AI to raise overall quality Practical privacy and workflow considerations when rolling AI into your shop Chapters 00:00 AI will not replace you. People using AI will 00:26 Set up for the episode 00:40 Intro and guest welcome 01:01 What Purelend does for brokers and lenders 02:24 Lucas’ background, NEO Financial, and the path to Purelend 03:10 The 60,000 km motorcycle detour and lessons 04:10 Building applied AI before ChatGPT 05:13 Pre-2020 AI adoption vs the post-ChatGPT shift 06:19 Focusing on outcomes over buzzwords 07:33 Media hype, fear, and what actually matters to a brokerage 08:28 Useful analogies for explaining AI to clients 09:03 Common fears brokers raise 10:11 Two brokers, two results. Why leverage wins 11:26 Excel analogy and why AI is the new table stakes 12:07 Privacy, data, and realistic risk 12:46 Will AI do prospecting and client calls 13:39 Why trust and emotion keep humans in the loop 15:14 Where automation helps and where it breaks 16:20 Purelend elevator pitch 16:46 Duplicate effort across brokers and lenders 17:46 Speed, cost basis, and winning deals 18:10 Why this only became feasible recently 19:18 Feature set: down payment, usable income, organising docs 20:02 Stated income launch and common gotchas 21:06 Borrower alerts without adding friction 21:39 Full auto vs copilot. Drawing the line 24:12 Specific knowledge that AI cannot replace 25:38 Borrower portal vision and UX tradeoffs 30:44 Accuracy, hallucinations, and safeguards 32:27 Probabilistic vs deterministic and hitting 92 to 96 percent 35:04 Benchmarking against human accuracy 38:50 Supervisors, different error patterns, and combined accuracy 40:38 Where to learn more 40:55 Close

There’s no magic button for AI in the mortgage industry — and that’s exactly what I talk about in this episode. In this week’s Mortgage Tech Talks, I share my full recap of the National Mortgage Conference — what I saw, what I learned, and why so many brokers are still chasing shortcuts instead of building real systems that last. I also unpack the biggest question I kept hearing: “What’s the one AI tool I should be using?” The truth? There isn’t one. But there are ways to use AI that actually move the needle — and I walk through a few real examples of that in action. You’ll also hear my thoughts on privacy, security, and how tech is making a real comeback in the mortgage space right now. If you’re a mortgage broker who’s tired of surface-level “AI hacks” and wants to understand what’s actually working in our industry — this one’s for you. Timestamps: 00:00 – There’s no magic button for AI 00:23 – Welcome back to Mortgage Tech Talks 00:39 – National Mortgage Conference recap 01:04 – Why this topic matters now 01:15 – Key takeaways from the event 02:24 – PSA: There’s no silver bullet 03:09 – The myth of the “Use AI” button 05:07 – Why brokers still want the easy answer 06:00 – Trust as a broker’s real edge 06:34 – How to choose the right AI tools 07:09 – The “one tool” question 07:27 – Real examples: AI note-takers and OCR 09:27 – The danger of “magic button lite” talks 10:09 – Why most brokers fall into the same loop 11:18 – A call to focus on solving real business problems 11:53 – Revisiting privacy and security concerns 13:19 – Regulation, risk, and gray areas 14:32 – Tech perception vs. regulatory precedent 15:10 – Mortgage tech is making a comeback 15:28 – Shoutout: Penalty Mentor 15:43 – Shoutout: Ownwell 15:58 – Shoutout: BrokerBot 16:48 – Shoutout: PureLend 17:19 – Final thoughts and outro

In this episode of Mortgage Tech Talks, Tom Hall shares a special pre-conference breakdown of the Canadian National Mortgage Conference — including what to expect, which sessions to prioritize, and his own upcoming keynote, “If AI is Already Here, Why Does My Job Feel Exactly the Same?” Tom covers three major highlights — from economic forecasts by CIBC’s Benjamin Tal, to Doug Adams’ new book on scaling your brokerage, to his own deep dive into the real state of AI in the mortgage industry. Whether you’re attending the conference or following from afar, this episode gives you a quick, insightful preview of the ideas shaping the future of mortgages, technology, and business in Canada. ⏱️ Timestamps 00:00 – If AI is already here, why does my job feel exactly the same? 00:53 – Welcome to Mortgage Tech Talks 01:37 – Overview: What to expect at the National Mortgage Conference 02:14 – Highlight #1: Benjamin Tal, CIBC Chief Economist 03:12 – Canada’s weak economy and rate predictions 04:18 – Inflation insights: Why slowing inflation doesn’t mean lower prices 05:02 – The shift toward rental demand and what it means for brokers 06:15 – The rise of commercial financing and industry implications 07:11 – Highlight #2: Doug Adams’ session on The Business of Brokering 08:06 – How systems and CRMs are shaping modern brokerages 09:08 – Highlight #3: Tom Hall’s keynote — If AI is Already Here, Why Does My Job Feel Exactly the Same? 10:58 – Why most AI presentations miss the point 11:43 – How technological revolutions actually unfold 12:20 – What AI really means for mortgage professionals 12:45 – Closing thoughts and conference invite 👉 Subscribe for weekly conversations on mortgage technology, automation, and the future of the Canadian mortgage industry. 🎙️ Host: Tom Hall 📍 Presented by: BluMortgage #MortgageTechTalks #MortgageBrokers #AIMortgage #CanadianMortgages #MortgageTechnology #BluMortgage #MortgageConference #RealEstateCanada #Fintech #MortgageAutomation

In this episode, we break down a McKinsey report on how global organizations are adopting AI—and what it means for mortgage brokers right now. From marketing and sales to compliance and service operations, we explore where AI is already transforming financial services and how you can leverage it to futureproof your business. You’ll also hear about Rob Macalister’s take on “vibe coding” and why AI may soon make developing your own tools as common as using email. If you’ve ever wondered whether AI will replace jobs or actually create more opportunities, this episode gives you a clear look at both the risks and the upside. Timestamps 00:00 – Why mortgage brokers need to develop new skills 00:40 – Introduction and overview of the McKinsey AI report 01:26 – Who McKinsey is and why their data matters 02:36 – Breaking down the first chart: AI use in financial services 05:11 – What brokers actually do (sales, service, legal, marketing, IT) 07:06 – How to start using AI in day-to-day broker activities 08:38 – Report data: hiring challenges in AI-related roles 11:17 – Why this matters for mortgage brokers (Rob Macalister’s article) 13:52 – How AI unlocks opportunities for brokers to build tech 15:35 – The job loss question: what the survey really shows 18:28 – Which roles and functions will actually grow with AI 20:27 – Where brokers should focus to futureproof their careers 21:17 – Final thoughts and call to action Listen if you’re a mortgage broker who wants to: Understand how AI is reshaping the industry Learn which skills will be critical in the next 3 years See how to apply big-picture trends directly to your business 👉 Don’t forget to like, comment, and subscribe for more insights on mortgage technology and the future of the industry. #MortgageBroker #AI #MortgageTech #RealEstate #FutureOfWork

AI Clones for Mortgage Brokers? How This Tech Could Change the Industry In this episode of Mortgage Tech Talks, we dive into a futuristic—but very real—idea: AI clones. Imagine a digital version of you that clients can interact with online, ask questions, and even hear your voice respond back. We’ll cover what AI clones are, how they work, and how mortgage brokers and financial advisors can use them today for lead generation, nurturing, and building client trust. This isn’t sci-fi. People in the Canadian financial space are already using this technology. ⏱ Timestamps 00:00 – Intro: What’s an AI clone? 00:23 – Why mortgage brokers should care 01:04 – How the idea came about 01:22 – What an AI clone actually is 01:58 – Example: Delphi AI and how it works 03:11 – Real-world example with Balaji (ex-CTO of Coinbase) 04:12 – How suggested questions work for clients 05:11 – Exploring blockchain Q&A with an AI clone 06:20 – Voice cloning: live phone calls with AI 07:22 – Using an AI clone for lead generation 08:29 – Training your AI clone with content 08:48 – Business applications for mortgage brokers 09:57 – AI clones as nurturing tools 11:04 – Privacy, compliance, and risk considerations 12:27 – Who’s already using this in Canada 13:45 – Addressing the “Will AI replace me?” question 15:24 – Where human expertise always wins 16:13 – The legacy and future of AI clones 16:38 – Final thoughts and wrap-up 👉 If you’re a mortgage broker, financial advisor, or just curious about how AI is reshaping client relationships, this episode is packed with insights you can’t ignore. 🎧 Listen to Mortgage Tech Talks on YouTube or wherever you get your podcasts.

In this episode of Mortgage Tech Talks, I dive into one of the most common questions I hear at conferences and panels: “Should mortgage brokers be worried about client privacy when using AI tools like ChatGPT?” Instead of giving the usual surface-level answer, I take a contrarian approach and unpack why many of the fears around AI privacy are more about perception than legal reality. From comparing ChatGPT to Gmail, to breaking down Canadian compliance laws, this 15-minute rant is all about challenging the myths that keep brokers from adopting powerful technology. Whether you agree or disagree, this episode will push your thinking and hopefully unlock new opportunities for how you use tech in your business. Timestamps 00:00 – Privacy concerns as a crutch for avoiding tech adoption 00:37 – Why this rant started: the Canadian Mortgage Summit panel 02:13 – The big audience question: “Should I be concerned about privacy?” 03:37 – Compliance realities in a regulated industry 05:06 – What I would have answered differently 06:00 – Comparing ChatGPT risk vs Gmail risk 08:03 – Separating legal compliance vs industry comfort 10:08 – Why practical risk feels higher with AI tools 11:27 – Do Canadian laws really require data to stay in Canada? 13:00 – The myth of “data must stay in Canada” explained 14:18 – AI as just another tool: it’s how you use it 15:29 – My closing thoughts: stop using privacy concerns as an excuse 👉 If you found this useful, subscribe to Mortgage Tech Talks for more unfiltered conversations on mortgage technology, compliance, and growth.

In this episode of Mortgage Tech Talks, we dive into three brand-new mortgage technology startups that recently hit the Canadian market. Each of these companies is tackling a different problem in the broker and consumer journey—from digital mortgage investing, to qualifying first-time homebuyers, to automating document management. If you’re a broker curious about how tech could change your business—or an entrepreneur looking to build something new in this space—you’ll want to tune in. ⏱️ Timestamps 00:00 – The ROI of tech for Canadian brokers 00:33 – Welcome and episode intro 01:19 – Startup #1: Mercado (mortgage investing platform) 03:42 – Industry leaders branching into new ventures 04:25 – Startup #2: Homie (app for homebuyers and brokerages) 06:36 – Features breakdown: buying power, down payment planning, rate alerts, and more 08:41 – Homie as a brokerage lead qualification tool 10:30 – Startup #3: PureLend (document management & compliance automation) 12:33 – Key features: doc organization, fraud detection, borrower portals 14:10 – Broker-focused pricing model and adoption challenges 16:45 – Partnering with deal submission platforms: the growth unlock? 18:58 – Final thoughts: why mortgage tech momentum is exciting right now 👉 If you enjoyed this episode, don’t forget to subscribe and hit the notification bell for more insights on mortgage tech, innovation, and the future of brokering.

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?

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?

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

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

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

In this episode of Mortgage Tech Talks, I sit down with Tyler Cameron, Founder & CEO of wrksourcing, to talk about the real path from chaos to clarity in entrepreneurship. We break down: Why being a visionary isn’t enough anymore The difference between a VA and a true integrator What brokers actually need to scale How to adopt tech (without getting lost in the noise) Why FOMO is hurting entrepreneurs more than helping Whether you're a solo mortgage broker or leading a growing team, this episode will help you understand when it’s time to stop doing everything yourself — and how to bring on the right kind of help to grow without burnout. 👇 Skip to the parts that matter most: Timestamps: 00:00 – Why Visionaries Need Integrators 01:00 – Meet Tyler Cameron of wrksourcing 02:00 – Tyler’s Entrepreneurial Journey 04:00 – From Ad Agencies to Startups 06:00 – Growing Up in a Family Business 09:00 – What wrksourcing Really Does 12:00 – Why “Virtual Assistant” Isn’t the Right Term 15:00 – The Real Problem Founders Need Solved 17:00 – What Makes a Great Entrepreneurial Client 20:00 – Visionaries vs. Executors: EOS Explained 23:00 – Why Process Comes First, Then People 26:00 – Choosing the Right Tech Stack 29:00 – Shiny Object Syndrome in Business 30:00 – Clarity Beats More Tools 33:00 – What AI Changed & Didn’t Change 36:00 – Staying Curious Without Overwhelm 38:00 – Networking, Masterminds & Real Connections 40:00 – How to Connect with Tyler and wrksourcing 📌 Like this episode? Subscribe, leave a review, and share it with a fellow entrepreneur or mortgage professional. Word of mouth is everything. 📞 Connect with Tyler: Website: https://www.wrksourcing.com

How Mortgage Brokers Should Use Summer to Get Ahead (And Avoid AI Overwhelm) In this solo episode of Mortgage Tech Talks, Tom Hall gets tactical on how mortgage brokers can use the slower summer months to reset, refocus, and retool. From confidently taking time off to building systems, cleaning up your business backend, and diving deep into AI (instead of chasing every new tool), this is the episode you didn’t know you needed. If you’re feeling the pressure to “keep up” with AI or wondering how to finally take a guilt-free vacation, listen up. 👇 FULL EPISODE TIMESTAMPS BELOW: ⏱️ TIMESTAMPS 00:00 – Why "going deep, not wide" with AI matters 00:36 – Tom kicks off the solo summer episode 01:13 – How to use summer intentionally as a mortgage broker 02:03 – The first thing: Take time off (and actually take it off) 04:00 – The power of a confident handoff when you're away 05:06 – Why process comes before tech 06:20 – Build your workflow BEFORE choosing tools or hiring 07:13 – Real tech automation examples to save time 08:39 – Task: Clean up your business (3 easy wins) 10:04 – Why brokers must own their own domains and emails 11:19 – Organizing client lists and files for long-term efficiency 12:15 – Build one habit that sticks (and it’s NOT using AI) 13:09 – The importance of self-contained habits 14:19 – Let’s talk AI: go deep, not wide 15:00 – Why most new AI tools might not be worth your time 16:50 – The difference between using Google and using ChatGPT 18:16 – Two deep resources to better understand how AI really works 20:06 – Final thoughts: reduce anxiety by understanding the unknown 21:19 – Recap: 3 things to do this summer as a mortgage broker  

In this episode of Mortgage Tech Talks, I’m not just talking about AI... I’m showing you exactly how to use it. I walk you through three powerful ChatGPT prompts (plus a bonus fourth) that you can copy and paste today to actually grow your mortgage business. Most people are still using AI the way they used Google — and that’s a huge mistake. I’ll show you how to get way better results by treating ChatGPT like a business partner, not just a search engine. You’ll learn: How to generate new business in a tough market using AI The single most effective way to write ChatGPT prompts How to use different GPT models depending on your goals 5 time-saving ways to automate your workflow as a mortgage broker And how ChatGPT can help you structure complex deals like a pro If you’re in the mortgage industry and want to save time, close more deals, and finally get value out of these tools — this episode is for you. 📍 Timestamps: 00:00 – Intro: Why this is the most tactical episode yet 00:20 – Prompt 1: How to get new business fast using ChatGPT 02:00 – What makes a great AI prompt (tone, constraints, specificity) 06:00 – ChatGPT’s 6 strategies for mortgage brokers in a tough market 08:40 – Prompt 2: How to plan for long-term success using the GPT-4 "thinking model" 10:15 – What model you should actually be using in ChatGPT (and why it matters) 12:00 – Prompt 3: AI prompts to save hours in your mortgage workflow 14:00 – Deal structure brainstorm: ChatGPT as your second brain 16:00 – Why the same prompt can get you completely different (but valuable) results 17:00 – Final takeaways from the long-term planning prompt 18:00 – Niches to explore: Renewals, debt consolidation, equity release 19:00 – Recommended tools + skills to level up as a broker 21:00 – BONUS Prompt: Let ChatGPT help you structure a deal in real time 21:45 – Final recap + why the time to start using AI is right now If this gave you some ideas, let me know in the comments — or just try one of the prompts I shared and see what happens. Let’s stop talking about AI in theory… and actually start using it to grow our businesses. – Tom #MortgageBroker #MortgageTech #ChatGPT #AIforBusiness #GPT4 #MortgageMarketing #RealEstateTech

In this episode of Mortgage Tech Talks, host Tom Hall sits down with Rich Spence, President of Mortgage Centre Canada (part of the DLCG network), for a powerful deep dive into the past, present, and future of mortgage tech. Rich shares: His origin story launching Nexxa, the first web-based CRM for brokers The mindset and grind that helped scale to 7,000+ users How DLCG and Velocity are future-proofing the mortgage industry Why emotional intelligence is just as important as AI And how consumer expectations are forcing innovation faster than ever Whether you're a broker, lender, tech founder, or industry leader—this episode will challenge how you think about change, innovation, and what it really takes to stay relevant. 📍 Timestamps 00:00 – The future belongs to brokers who text 00:20 – The power of DLCG’s network and tech adoption 01:00 – Meet today’s guest: Rich Spence 02:00 – The untold origin story of Nexxa CRM 05:00 – How they scaled to 7,000 mortgage brokers 08:30 – Building software by hand—then hitting the phones 10:00 – What brokers can learn from DLCG's growth 14:00 – The evolution of Velocity and its rapid release cycle 18:00 – Why persistence and iteration drive tech success 21:00 – AI, cold calls, and the irreplaceable human touch 25:00 – How brokers need to adapt to Gen Z and tech trends 29:00 – What your clients expect (and how DLCG is building it) 34:00 – Why the right partnerships matter in 2025 and beyond 🔗 Connect with Rich Spence Instagram: @richspence3 LinkedIn: @richspence3 ✅ If you enjoyed this episode, subscribe for more insights from top minds in mortgage and financial tech. 💬 Leave a comment sharing your favourite insight or takeaway. #MortgageTech #DLCG #RichSpence #VelocityCRM #MortgageBroker #AIInMortgages #BrokerInnovation #CRM #MortgageIndustry #TechForBrokers