AI for Advisors

Mark Heynen, James Cantwell
  • 0.0 (0)
  • TECHNOLOGY
  • UPDATED DAILY

Exploring the intersection of AI & money.

  1. 2D AGO

    Your Messaging is Broken: Allen Darby from Alaris Acquisitions

    In this episode of AI for Advisors, Mark and James sit down with Allen Darby, Founder and CEO of Alaris Acquisitions, to discuss how AI is beginning to reshape the future of RIAs, M&A, and wealth management operations. Allen shares insights from years of advising RIA transactions, including how buyers evaluate firms, why cultural fit matters more than price alone, and how AI could eventually impact valuations, staffing, growth, and advisor-client relationships. The conversation also explores the rise of AI note takers, automation in advisory workflows, and whether AI-powered firms could eventually command a premium in the market. What we cover:• The state of RIA M&A today• Why younger advisors are selling earlier• How Alaris uses AI for buyer-seller matching• The role of culture and compatibility in acquisitions• AI’s impact on advisor operations and staffing• Whether AI-ready firms could command higher valuations• The future of advisor-client relationships in an AI world Learn more about Alaris Acquisitions:https://www.alarisacquisitions.com

    1h 14m

  2. MAY 8

    Growth Without Losing Trust: Eden Ovadia from Finny

    Most AI conversations in wealth management focus on efficiency. This one is about something harder: growth without breaking trust. In this episode of AI for Advisors, Eden Ovadia, founder of FINNY, shares how he’s building a modern, AI-native experience for financial advice — while staying grounded in the reality that trust is still the product. The conversation explores why most AI growth strategies feel inauthentic, how younger users actually want to engage with financial advice, and why the next generation of advisor experiences may look completely different from today’s model. If you’re thinking about AI purely as a productivity tool, you may be missing the bigger shift. Key Takeaways: • AI doesn’t replace trust — it amplifies it (or destroys it) • Growth in financial services is shifting from distribution → experience • Younger users expect real-time, contextual engagement • Most advisor tech is built for firms — not end clients • The winners will balance scale + authenticity Chapters: 00:00 – Intro & Eden’s background 04:12 – What FINNY is building 09:30 – Why most AI in finance feels inauthentic 15:05 – The real role of trust in AI-powered advice 21:40 – How younger users want to engage 28:10 – Scale vs personalization 35:25 – Why advisor tech misses the end user 42:50 – What good AI experiences feel like 50:15 – The future of financial advice 57:30 – Closing thoughts Learn more about FINNY: https://finny.ai

    59 min

  3. APR 28

    Advisor Tech is Solving the Wrong Problem: Churni Bhattacharya @ Amplify

    Most advisor technology isn’t broken because it lacks features.It’s broken because it’s solving the wrong problem. In this episode of AI for Advisors, Mark Heynen and James Cantwell sit down with Churni Bhattacharya, Chief Product Officer at Amplify, to unpack why so much wealthtech fails to deliver real impact—and how AI is forcing a rethink of how advisor platforms should actually be built. Instead of chasing more tools, Churni makes the case for experience-first design, where the goal isn’t adding functionality, but removing friction across the advisor workflow. The conversation goes deep on: why advisors default to tools instead of outcomeshow growth creates hidden operational complexitywhy “all-in-one” platforms often fail in practiceand why AI will only work if the underlying system is designed correctlyIf you’re evaluating your tech stack—or thinking about how AI fits into your firm—this episode will challenge your assumptions. Takeaways: Most wealthtech is feature-driven, not outcome-drivenFirms adopt tools to solve narrow problems, but end up increasing complexity across the system.Growth breaks systems faster than technology can fix themAs firms scale, hidden inefficiencies compound—AI can’t fix broken workflows.“All-in-one” platforms often fail because they ignore real user behaviorAdvisors don’t operate in clean, linear workflows—platforms need to reflect reality.AI is not a solution—it’s an amplifierIf your process is good, AI makes it better. If it’s broken, AI makes it worse faster.The future is experience-first, not tool-firstWinning platforms will design around how advisors actually work—not how software is structured. Chapters: 00:00 — Intro & setupMark and James introduce Churni and frame the core problem in advisor tech. 04:30 — Why advisor tech feels fragmentedHow the industry ended up with tool sprawl instead of cohesive systems. 10:15 — The “wrong problem” in wealthtechWhy most platforms optimize for features instead of outcomes. 17:40 — Growth creates operational chaosWhat actually breaks inside firms as they scale. 24:10 — The myth of the all-in-one platformWhy consolidation doesn’t always solve complexity. 31:30 — Where AI fits (and where it doesn’t)Why AI won’t fix bad systems—and what it can do. 38:20 — Designing for real advisor workflowsWhat an experience-first platform actually looks like. 45:00 — Final thoughts & future outlookWhere wealthtech and AI are headed next.

    51 min

  4. APR 28

    AI Isn't Ready for Production: Haik & George from Arqa and ZBP

    In this episode of AI for Advisors, Mark and James sit down with Haik Sahakyan and George Guidotti from Arca to talk about the reality of deploying AI in production environments. While the hype cycle continues, this conversation brings a grounded perspective on what actually works—and what doesn’t. What we cover: Why AI struggles in productionReal-world deployment challengesWhere AI delivers value todayWhat breaks at scaleHow to think about AI realisticallyChapters: 00:00 Intro06:00 Production challenges14:00 What works22:00 Failures and lessons30:00 Future outlook

    1h 4m

  5. APR 23

    Advisors Are Using AI Wrong: Derek Notman @ Couplr

    In this episode of AI for Advisors, Mark Heynen and James Cantwell sit down with Derek Notman to tackle one of the biggest unanswered questions in wealth management today: Where should advisors draw the line with AI? As AI tools make it easier than ever to generate content, automate outreach, and scale communication, the line between authentic and artificial is getting blurry. Derek brings a strong point of view: most advisor marketing is already broken—and AI risks making it worse if used the wrong way. The conversation explores the tension between efficiency and trust, and whether advisors should be leaning into automation—or doubling down on being human. Along the way, they unpack why cold outreach still dominates the industry, why it often fails, and how a shift toward matchmaking and alignment could reshape how advisors grow their businesses. This is a sharp, opinionated episode for advisors thinking about how to use AI without losing what actually matters: trust, connection, and credibility. Takeaways Authenticity is crucial in content creation, especially with AI.AI can be a tool for enhancing human creativity, not replacing it.The line between AI-generated and human-generated content is often blurred.Human connection is essential in financial advisory relationships.People prefer to control their engagement with financial advisors.The matching process in financial advisory should focus on personal traits.Behavioral science can enhance the client-advisor matching process.Technology should facilitate, not commoditize, human relationships.AI tools can help streamline processes but should not replace human input.The consumer experience should be prioritized in financial services. Derek Notman has around 1800 advisors on his platform.A proof of concept in South Africa showed a 500% conversion improvement.Direct-to-consumer models are challenging and require significant funding.The 90% failure rate of startups is a real concern for founders.Advisors need to modernize their practices to stay relevant.AI can enhance the advisory process but should not replace human interaction.Personal branding is crucial for financial advisors in today's market.Only 1% of LinkedIn users create content, presenting a unique opportunity.Compliance issues with AI usage in financial services are a growing concern.Rethinking CRM systems is essential for capturing ongoing client relationships. Chapters 00:00 Authenticity in Content Creation 01:16 AI as a Tool for Content Generation 04:00 The Dichotomy of AI Usage 06:29 The Emotional Impact of AI in Media 08:41 Exploring Claude Bot and Its Capabilities 17:14 The Challenge of Financial Advising 20:08 The Evolution of Client Matching 24:05 Innovative Approaches to Client Engagement 29:18 Behavioral Science in Financial Matching 32:30 Global Expansion and Market Adaptation 37:08 The Realities of Startup Life 41:45 Balancing Technology and Human Connection 45:10 Navigating AI in Advisory Practices 47:23 The Role of Compliance in AI Usage 50:17 Innovative AI Tools for Advisors 54:47 Rethinking CRM for Modern Advisors 01:03:03 Lightning Round: Insights on AI and Branding Keywords AI, authenticity, content creation, financial advisory, human connection, Claude Bot, matching problem, behavioral science, technology, podcast, financial advisory, AI, CRM, startup challenges, proof of concept, South Africa, direct-to-consumer, compliance, personal branding, technology in finance

    1h 10m

  6. APR 22

    Compliance is the Real AI Opportunity: Larry Shumbres @ Archive Intel

    In this episode of AI for Advisors, Mark Heynen and James Cantwell sit down with Larry Shumbres, founder and CEO of Archive Intel, to talk about one of the most urgent and underappreciated areas in wealth management AI: compliance. The conversation starts with the SEC’s recent enforcement actions and the growing pressure on firms to properly capture and supervise off-channel communications. Larry explains why older archiving systems have struggled, why texting and WhatsApp created such a mess for firms, and how Archive Intel is trying to reduce both compliance risk and operational burden. They also dig into where AI is actually useful in compliance today: reducing false positives, automating random reviews, improving supervision workflows, and eventually making compliance more proactive instead of purely reactive. Along the way, the episode explores whether meeting transcripts, ChatGPT histories, and other emerging data sources may eventually become part of the formal books-and-records conversation. This is a practical episode for advisors, compliance officers, and wealthtech builders trying to understand where regulation, communication, and AI are colliding next.   What this version gets right It matches the actual guest and company.  It reflects the real themes: SEC enforcement, text archiving, WhatsApp, AI compliance review, and future monitoring.  It avoids promising topics that belong to the Focal / John Connell episode.A few sharp topic bullets SEC off-channel communication finesWhy advisors still end up with two phonesArchiving iMessage, WhatsApp, LinkedIn, and moreUsing AI to reduce false compliance flagsWhether meeting transcripts and chat histories should be archivedThe future of proactive compliance toolingData lakes and AI agents for compliance intelligence

    1h 4m

  7. APR 21

    From Meeting Notes to Agentic Action: John Connell @ Focal

    In this episode of AI for Advisors, Mark Heynen and James Cantwell sit down with John L. Connell, co-founder and CEO of Focal, to explore where AI in wealth management is actually headed. The conversation starts with some humor and quickly gets into the big questions shaping the category: What does agentic AI really mean? How is it different from simple generative AI or meeting summaries? And where will advisors see the biggest gains first? John shares the origin story behind Focal, including how the company evolved around a simple but persistent problem: advisors spend too much time on manual work before, during, and after client meetings. From note-taking and CRM updates to form filling and workflow automation, Focal’s vision is to move AI from passive assistant to active operator. The group also digs into some of the deeper industry questions. Are PDFs and email going away, or are they just becoming invisible infrastructure? Are AI companies “dashboards” or “pipes”? Why has robotic process automation taken so long to hit the mainstream? And how should advisors think about the next 12–24 months as AI adoption in wealth management accelerates? One of the most interesting parts of the conversation centers on advisor coaching. John explains why some advisors initially dismiss performance feedback, only to find that coaching becomes the most valuable feature once they see how they actually perform. The episode closes with a rapid-fire discussion on overhyped AI buzzwords, underrated trends, and what tools John personally uses outside of Focal. This is a sharp, practical conversation for advisors, wealthtech builders, and anyone trying to separate real AI leverage from market noise. What we cover What “agentic AI” actually means in practiceWhy meeting notes are only the starting pointHow AI can automate manual advisor workflows across tools and systemsWhy PDFs and email may persist longer than people thinkThe “dashboards vs. pipes” framework for AI companiesWhy performance coaching may be more valuable than efficiency aloneWhere RPA and browser-based automation are finally becoming usefulWhat’s overhyped and underhyped in AI right nowWhy compliance-first AI matters in wealth managementNotable themes AI that does things, not just summarizes thingsBetter advisor performance, not just faster admin workHuman-in-the-loop systems as the path to practical automationThe gap between AI hype and real operational valueThe coming shift from standalone tools to embedded intelligenceApproximate chapter markers 00:00 Intro banter and mistaken identity with John O’Connell01:09 Welcome and guest introduction04:08 John Connell’s background and Focal overview07:09 John’s origin story and the early thesis behind Focal09:48 Fundraising, differentiation, and positioning in a crowded market11:40 What advisors can do with agentic AI that they can’t do with basic tools13:12 PDFs, forms, and why legacy workflows still persist16:00 Email, interfaces, and whether the protocol ever really dies22:41 Dashboards vs. pipes and where AI products fit29:01 RPA, browser automation, and why robustness matters33:14 Where advisors should start with AI adoption36:35 Proactive vs. reactive AI and coaching insights40:22 Measuring advisor performance and what “best” actually means48:51 War stories from the front lines of selling AI to advisors52:55 What’s next in AI for wealth management in 2026 and beyond58:34 Rapid fire: CRMs, hype cycles, favorite tools, and final thoughts

    1h 4m

  8. MAR 31

    The Canuck Episode: Jason Pereira and Ken Lotocki on AI Adoption

    In this “Canuck episode” of AI for Advisors, Mark Heynen and James Cantwell are joined by Jason Pereira and Ken Lotocki for a distinctly Canadian perspective on AI in wealth management. From adoption and compliance to planning software and product design, they explain why the conversation north of the border is different — and where US firms may be getting distracted by hype. Jason brings the skeptical operator’s lens, arguing that most AI failures come from broken implementation, not broken technology. Ken brings the builder’s perspective from Conquest, sharing how auditable planning engines, next-best-action systems, and practical AI workflows are shaping adoption across Canada, the US, and the UK. Together, they unpack where AI is real, where it is table stakes, and where the industry is still fooling itself. 00:00 – Jar Jar, Star Wars, and the Machete cut (IYKYK) 03:55 – The Canadian Perspective on AI Adoption 06:40 – Why Most WealthTech AI Still Fails 10:40 – What Conquest Is Building Beyond LLM Hype 18:55 – Why “Next Best Action” Changes Planning 25:00 – MCP, Ask Sam, and Open Planning Systems 32:10 – Selling AI in Canada vs. the US vs. the UK 39:00 – Is Canada Really Ahead on AI Adoption? 45:15 – Privacy, Governance, and Compliance North of the Border 46:25 – The Big Nevis Raise and Silicon Valley in WealthTech 52:05 – Most Overhyped and Underhyped AI Use Cases 58:10 – Why Nobody Wants to Build a CRM 59:05 – Canada vs. America: Productivity and Hockey (NB: Recorded before the Olympics — Canadian pride remains intact.) Learn more about Jason Pereira | Woodgate Website: ⁠https://jasonpereira.ca⁠ LinkedIn: ⁠https://www.linkedin.com/in/jasonpereira⁠ Learn more about Ken Lotocki | Conquest Planning Website: ⁠https://www.conquestplanning.com⁠ LinkedIn: ⁠https://www.linkedin.com/in/ken-lotocki⁠ Learn more about Mark Heynen | James Cantwell | AI for Advisors Podcast LinkedIn: ⁠https://www.linkedin.com/in/markheynen⁠ Website: ⁠https://www.knapsack.ai/⁠ LinkedIn: ⁠https://www.linkedin.com/in/jamescantwell⁠ Website: ⁠https://www.wealthtechselect.com⁠ YouTube: ⁠http://www.youtube.com/@AIforAdvisorsPodcast⁠

    1h 1m
See All (27)

About

Exploring the intersection of AI & money.

Information

  • Creator
    Mark Heynen, James Cantwell
  • Years Active
    2K
  • Episodes
    27
  • Rating
    Clean
  • Copyright
    © Mark Heynen, James Cantwell
  • Show Website
    AI for Advisors

You Might Also Like