AI for Advisors

Mark Heynen, James Cantwell

Exploring the intersection of AI & money.

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October 19 · 55 min
The Hardest Part of AI Is Knowing What to Ask: Dirk Pearson & Kelly Fitzpatrick @ Advyzon
Most of the AI conversation in wealth management is about capability: which model, which connectors, which platform can do the most. But advisors using these tools keep running into a different wall. They don't know what to ask. When Advyzon launched its AI, a handful of users asked for a list of everything they could ask it. The honest answer was that the list would be a hundred pages long. That changed how the team builds. Less focus on what the AI can do, more on how advisors find their way to it. James Cantwell and Mark Heynen sit down with Dirk Pearson, COO of Advyzon, and Kelly Fitzpatrick, VP of Product, to talk about what that means for an all-in-one platform in a world of MCPs, Claude for Financial Advisors, and agents that can navigate almost any system on their own. WHAT YOU'LL LEARN - What Dirk, Kelly, and James expect to change most for advisors in the next 12 months, from how firms are staffed to firms that run around the clock - Why Advyzon's decade-old bet on one platform and one data model looks different now that AI depends on context - How Kelly's background as a CFP shapes the way she models advisor workflows, and why "simple" actions are hard to automate - Why Advyzon built its AI around the client record first, starting with meeting prep - How Advyzon thinks about Claude for Financial Advisors, data security, and whether to become a connector - Whether any platform can stay closed when agents can work through a browser - Dirk and Kelly's prediction for how advisors will split time between chat and traditional screens in two years - The one question every RIA should ask an AI vendor before handing over client data KEY TAKEAWAYS The bottleneck is discoverability, not capability → Advisors who don't know what to ask won't get value from even the best AI. Advyzon saw more adoption by building prompts into familiar workflows than by adding capabilities. Context matters more than model choice → Kelly calls it overrated to assume a better model means a better experience. In advice, the value comes from understanding the client, the firm, and the data underneath. Simple-looking actions carry hidden context → Sending one email can depend on what the client said last time, their risk profile, an RMD coming due, and a change in their plan. That's what makes advisor work hard to automate well. Chat won't fully replace the screen → Dirk and Kelly expect a 70/30 split between chat and UI in two years. Visual tools still matter, partly because heavy AI users already feel chat fatigue. Openness may no longer be a choice → If agents can operate a browser, people will reach the data whether a vendor offers an API or not. That changes the open-versus-closed debate for every platform. CHAPTERS 00:00 Will AI kill us all? An SNL detour 01:10 Welcome Dirk Pearson and Kelly Fitzpatrick 02:29 What changes most for advisors in the next 12 months 04:35 One platform, one data model: the all-in-one bet in the AI era 12:05 From CFP to product: why simple advisor actions are hard to model 14:14 Giving AI the right context, starting with meeting prep 20:31 The all-in-one vs. Claude for Financial Advisors 25:50 How open should a platform be? 32:05 Beyond the usual integration map 36:00 Will Claude for Financial Advisors succeed? 38:31 Tasks advisors should never have to do again 41:51 Chat vs. point-and-click: the 70/30 bet 45:00 Personal AI: fantasy football, kids' schedules, and agents that sell 52:55 Rapid fire: vendor questions, overrated vs. underrated
September 1 · 1 hr 2 min
Running a Company Through AI Agents: Ian Karnell @ VastAdvisor
AI has made building software nearly free. For most industries, that's the whole story — ship faster, iterate faster, done. In wealth management, it isn't. The moment AI touches anything client-facing, the question stops being "what can this do" and becomes "can you show a regulator exactly what it did, and why." Ian Karnell has spent the last few years living on both sides of that line. He's co-founder and CEO of VastAdvisor, which he built after co-founding and selling Truelytics to Envestnet. But this conversation isn't really about VastAdvisor's product — by the hosts' own admission, they barely get to it. It's about what Ian has built inside his own company: a roughly 40-agent internal AI system, segmented into its own board of directors, executive functions, and departmental "guilds," handling everything from live code fixes to compliance review. Along the way, Ian makes the case for why governance and telemetry — not features — are becoming the real differentiator for anyone deploying AI in a regulated industry, and why he thinks loyalty to any single AI model won't mean much in a couple of years. What You'll Learn How VastAdvisor's holding-company structure (VastAssembly) separates core IP ownership from the operating businesses built on top of it Why Ian moved off month-to-month contracts once he had proof of product-market fit, and how his earliest customers got locked into legacy pricing for staying early The internal structure of VastMind, VastAdvisor's ~40-agent system, including its "board of directors" and function-specific guilds How the team catches and fixes production code errors in real time, with human review calibrated to the severity of the fix Why Ian considers AI telemetry and observability — not marketing-content compliance — the harder unsolved problem for regulated AI deployments How VastAdvisor manages token costs across enterprise and individual AI subscription plans Ian's take on whether loyalty to any one AI lab or model will still matter in two to three years Key Takeaways Governance is becoming the product. → In a regulated industry, proving what your AI did — and why — is starting to matter as much as what the AI can do. Product-market fit is a spending decision, not a talking decision. → Ian's advice to founders is blunt: paying customers, not user interviews, are the real signal that something works. The agent swarm isn't a demo — it's the org chart. → VastAdvisor runs internal functions like compliance review and code fixes through a segmented system of dozens of AI agents, not a single assistant. Token spend is a strategic line item, not overhead to minimize. → Ian treats AI costs the way most companies treat payroll: something to lean into, not shrink. Nobody is fully loyal to one model anymore. → VastAdvisor is built to be LLM-agnostic on purpose, because the labs themselves are moving too fast to bet the company on just one. Why This Episode Matters Most AI conversations in wealth management are about customer-facing tools — chatbots, portfolio commentary, marketing copy. This episode is a reminder that the bigger shift may be happening behind the scenes, inside the companies building those tools. When a 25-year veteran of the space says his own company runs largely through an agent swarm, and that the harder problem isn't building the AI but proving it behaved correctly, that's a signal about where scrutiny — from regulators and from clients — is heading next. For advisors and wealthtech leaders evaluating AI vendors, that reframes the diligence question. It's less "what can this do" and more "can you show me that it did that."
August 20 · 1 hr 8 min
What Comes After the AI Note-Taker: Aaron Klein @ Contio, Tom Fields @ Fynancial
AI note-takers promised to fix advisor meetings. Adoption is nearly universal — and yet client retention hasn't meaningfully improved, and most advisors still walk into reviews without a real game plan. So what did the industry actually solve? Aaron Klein, who spent 12 years building Riskalyze into a category before starting over, argues the note-taker wave started at the wrong end of the problem: capturing conversations is easy, turning them into decisions and follow-through is the actual job. His new company, Contio, is built as an operating system layer rather than a standalone app — meant for partners to build on top of, not to lock advisors into. That's exactly what Tom Fields did. As the first partner built on Contio's MeetingOS, his company Fynancial takes that meeting data and turns it into the always-on mobile experience advisors' clients already expect from every other app on their phone. Together, they make the case that the real unlock isn't smarter transcription — it's open data, faster meeting prep, and giving clients a channel that isn't buried in email. What You'll Learn: Why Aaron Klein calls AI note-taking "starting at the wrong end of the problem" The difference between an "operating system" and a "platform" — and why Contio deliberately chose OS How Tom Fields built Fynancial as the first partner on Contio's MeetingOS, and what that partnership actually does for advisors Why locking up client data is a losing long-term strategy, even if it's tempting short-term Why older clients default to their phone as their primary computer — and what that means for advisor tech decisions Why meeting prep should happen a week or two out, not 30 minutes before The rapid-fire debate on the most overrated and underrated AI technology in wealth management right now Key Takeaways: AI note-takers solved the wrong problem. → Recording a meeting was never the bottleneck — turning what gets said into what gets done was. An operating system beats a platform. → Contio isn't trying to maximize time in its own app. It's built so partners like Fynancial can build entire products on top of its data layer. Locking up data is a losing strategy. → Firms that don't expose clear APIs or MCP access will lose customers to those that do — full stop. Speed is a relationship advantage, not just an efficiency one. → In a trust-driven business, how fast you respond to a client is itself part of the service. Meeting prep should happen days before the meeting, not minutes before. → The easier prep gets, the more tempting it is to do it last-minute — which defeats the point. Why This Episode Matters: The AI note-taker wave made it easy to believe the meeting problem was already solved. This episode makes the opposite case: recording a meeting was always the easy part. The advisors and platforms that win from here will be the ones that treat meeting data as fuel for faster decisions and open ecosystems — not another walled garden. Aaron Klein and Tom Fields are building from opposite ends of that same idea, and the partnership between their companies is a live example of what an open, decision-first approach to meeting AI can look like in practice.
August 13 · 1 hr 1 min
Why AI Adoption Fails: Vineet Mohan @ FastTrackr AI, Frantz Widmaier @ Altitude CRM
Every advisor who's changed firms knows the drill: a blank intake form, a client asked to re-explain a hundred data points they've already given someone else, and a 90-day scramble that leaks 10-20% of assets out the door along the way. The tools to fix this have existed for a while. What's actually been missing is someone willing to own the entire mess — not just the data pipes, but the paperwork, the tracking, and the hundred spreadsheets nobody can find. This week, Mark and James talk to two founders tackling that exact problem from opposite directions. Vineet Mohan spent 14 years at HSBC before building FastTrackr AI, which handles advisor transitions end-to-end rather than just connecting data sources. Frantz Widmaier inherited a 45-year-old consulting firm, Bill Good Marketing, and is turning it into Altitude, an AI-native CRM built around an assistant called Pathfinder. The conversation keeps circling back to the same tension: the technology to move faster is already here. What's slow is getting advisors — and their clients — to trust it. What You'll Learn: - Why advisor transitions still take up to 90 days and why that delay costs firms real assets - The three distinct reasons advisors change firms — demographics, M&A, and breakaways — and why the "unlock" AI offers differs for each - Why "plug and play" is a myth for multi-step, edge-case-heavy workflows, even if it works fine for something like meeting assistants - What happened when Altitude's users pushed back against a better, but different, CRM interface - Why building AI features fast can outpace your users' ability to accept the change - How Salesforce going headless and MCP-friendly changes the build-vs-integrate calculus for CRM startups - Why the "harness layer" — the logic sitting between the model and the system of record — may be the more durable asset than either the model or the CRM - How advisor and client attitudes toward AI security are shifting Key Takeaways: Adoption fails on change management, not capability. → The tools already exist. The bottleneck is trust. Advisor transitions leak real money, not just time. → 10-20% of assets fall away during a firm change due to a slow, impersonal process. Plug and play works for narrow tasks, not messy workflows. → A meeting assistant can be plug and play; a multi-step transition still needs a human in the loop. Speed of building doesn't equal speed of adoption. → Shipping fast can backfire without walking users through the change in phases. The application layer is becoming the durable asset. → As models and CRMs commoditize, the "harness layer" between them may hold the real advantage. Why This Episode Matters: Most AI-in-wealth-management conversations focus on what the technology can now do. This one is more useful because it focuses on what still gets in the way after: users resisting a redesigned CRM, clients quietly more comfortable with AI than advisors assume, and a transition process that's slow less because of missing data than a poor experience. The practical takeaway for advisors: ask less about what a tool can do, and more about how a vendor plans to walk your team and clients through the change.
August 6 · 1 hr 4 min
Will AI Replace the CRM?: Thomas Clawson @ Slant
Most firms think AI changes software. The bigger shift is that AI changes workflows. As AI becomes the primary interface for getting work done, it's forcing firms to rethink a fundamental question: does the CRM still matter—or is it becoming obsolete? In this episode of AI for Advisors, James Cantwell and Mark Heynen sit down with Thomas Clawson, Co-Founder of Slant, to explore why AI-native software looks fundamentally different from legacy CRM platforms, what advisors actually need from a system of record, and why the future may be less about adding more technology and more about making existing workflows disappear. Why AI-native CRM isn't just legacy software with a chatbot attached Whether AI agents will replace CRMs—or make them even more important Why advisors still need a trusted system of record How AI is changing client expectations before they ever meet an advisor The tradeoffs between building specialized tools versus all-in-one platforms Why customer experience has become a competitive advantage for advisor technology How Slant went from marketing automation to one of wealth management's fastest-growing AI-native CRMs The CRM isn't disappearing → AI changes how advisors interact with software, but firms still need a trusted source of truth. AI shifts the focus from software to workflows → The goal isn't more tools—it's fewer manual processes. Great advisor technology reduces operational complexity → The best platforms eliminate spreadsheets, disconnected apps, and repetitive work. Clients are arriving more informed than ever → AI isn't replacing advisors—it changes the conversations clients expect to have. Relationships remain the competitive advantage → AI can automate tasks, but trust is still built between people. The real question isn't whether AI replaces the CRM. It's whether today's CRM is designed for the way advisors will work tomorrow. As AI takes over more operational work, the firms that succeed won't necessarily have the biggest technology stack. They'll have systems that connect information, automate routine tasks, and help advisors spend more time where they create the most value: with clients. That's the conversation this episode explores.
July 17 · 46 min
The Future of AI Agents in Wealth Management: Freedom Dumlao @ Vestmark
AI is quickly becoming more than just a productivity tool—it's becoming a teammate. Mark Heynen and James Cantwell welcome Freedom Dumlao, CTO and Chief AI Officer at Vestmark, to discuss how AI agents are reshaping wealth management. Drawing on his experience at Amazon and Vestmark, Freedom shares how firms can safely deploy AI, why governance matters as much as capability, and what the future looks like as AI begins taking on real operational work. From AI employees and local models to advisor workflows and infrastructure, this episode explores what it takes to bring AI into regulated financial services responsibly.
July 9 · 48 min
Why Advisors Should Stop Managing Portfolios: Jeff Coyle @ Libretto
What if advisors have been approaching financial planning the wrong way all along? In this episode of AI for Advisors, James Cantwell and Mark Heynen are joined by Jeff Coyle, Founder & CEO of Libretto, to discuss why advisors should be managing total wealth—not just investment portfolios. Jeff explains how his experience serving ultra-high-net-worth families led to a new planning methodology that goes beyond traditional risk questionnaires and Monte Carlo simulations. The conversation also explores how AI is streamlining client onboarding, enhancing advisor expertise, and making more sophisticated financial planning accessible at scale. If you're curious about where financial planning is headed—and how AI can help advisors deliver more meaningful advice—this episode is for you.
July 2 · 1 hr 11 min
AI Won't Replace Advisors—But It Will Change Them: Mike Barrasso @ WealthReach, Matt Halloran @ Zocks & Derrick Kinney @ Success for Advisors
AI is reshaping financial advice—but not in the way many expected. Mike Barrasso of WealthReach and Matt Halloran of Zocks join Mark Heynen and James Cantwell to discuss what advisors are actually doing with AI today, why branding matters more than ever, and how AI assistants are moving beyond simple note taking. Midway through the episode, Derrick Kinney makes a surprise appearance to share his perspective on authentic communication, client trust, and why human connection remains an advisor's greatest advantage. A practical conversation about AI adoption, advisor growth, and where the industry is headed next.
June 23 · 1 hr 1 min
Private Markets Are Finally Scalable: Logan Henderson @ Gridline
Private markets are becoming more accessible—but the infrastructure supporting them hasn't always kept pace. James Cantwell and Mark Heynen are joined by Logan Henderson, Founder & CEO of Gridline, to discuss how AI and modern technology are transforming alternatives operations, due diligence, and reporting. They explore the challenges RIAs face when implementing private market programs, where AI can create real efficiencies, and why the future of alternatives may depend more on infrastructure than access.
June 9 · 1 hr 12 min
The Human Edge in AI-Driven WealthTech | Jason Quinn @ Advisor360° & Dr. Joshua Wilson @ Neubefi
In this episode of AI for Advisors, Mark Heynen and James Cantwell sit down with Jason Quinn @ Advisor360° and Dr. Joshua Wilson @ Neubefi to talk about where AI is really taking advisor technology.The conversation explores how AI may reshape the wealthtech stack, why firms may move away from fragmented point solutions, and how AI-native operating systems could change the way advisors work.Jason shares how Advisor360° is thinking about unified data, workflows, and infrastructure, while Dr. Joshua Wilson breaks down why trust, identity, emotional resonance, and human connection may become even more important as AI tools become more common.They also discuss whether AI can help advisors scale relationships, why generic AI content is not enough, and how firms can stand out when everyone has access to the same technology.Topics include:AI-native operating systems for advisorsThe future of the wealthtech stackWorkflow automation and advisor productivityTrust and differentiation in an AI-driven marketHuman connection as a competitive edgeFavorite AI tools like Claude, Claude Code, and WhisperFlowAs AI raises the baseline, the real winners may be the firms that combine smarter technology with a stronger human signal.
June 5 · 53 min
Digital Employees are Already Here: Alex Schlesinger @ SS&C 
AI is moving from hype into infrastructure. In this episode of AI for Advisors, Mark and James sit down with Alex Schlesinger of Advent to discuss what it actually looks like to build AI inside a large enterprise WealthTech organization — and why most firms are still approaching AI the wrong way. The conversation explores the tension between innovation and legacy systems, how large firms think about AI adoption, and why the future may belong to flexible AI platforms instead of one-size-fits-all solutions. What we cover: • Building AI inside large WealthTech enterprises • Why “AI-first” thinking often fails • AI infrastructure vs AI products • MCP, orchestration, and digital employees • Operational efficiency in wealth management • The future of advisor technology stacks Chapters: 00:00 – Dogs, tracking tech, and digital employees 07:00 – OpenClaw, AI agents, and orchestration 24:00 – Alex’s background and Advent journey 31:00 – Building AI inside large organizations 45:00 – Why most AI implementations fail 57:00 – The future of AI platforms in wealth management About AI for Advisors: Conversations exploring how artificial intelligence is transforming wealth management, advisor workflows, and the future of financial services.
May 19 · 56 min
Advisors Are Missing the Biggest Asset with Jason Early, Founder & CEO of RISR
Most advisors want to serve business owners — but many still lack the tools, data, and confidence to advise them well. In this episode of AI for Advisors, Mark Heynen and James Cantwell talk with Jason Early, Founder & CEO of RISR, about why business owners remain one of the biggest missed opportunities in wealth management. They discuss how advisors can move beyond rough business valuations, use better data to create deeper planning conversations, and help owners think through succession, exit planning, risk, and long-term goals. They also explore how AI is changing the advisor’s role, why relationship-building still matters, and why technology should support trust — not replace it. Featuring Jason Early, Founder & CEO of RISR.
May 14 · 1 hr 14 min
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
S1 · E27
May 8 · 59 min
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
S1 · E25
April 28 · 51 min
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 outcomes how growth creates hidden operational complexity why “all-in-one” platforms often fail in practice and why AI will only work if the underlying system is designed correctly If 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-driven Firms adopt tools to solve narrow problems, but end up increasing complexity across the system. Growth breaks systems faster than technology can fix them As firms scale, hidden inefficiencies compound—AI can’t fix broken workflows. “All-in-one” platforms often fail because they ignore real user behavior Advisors don’t operate in clean, linear workflows—platforms need to reflect reality. AI is not a solution—it’s an amplifier If your process is good, AI makes it better. If it’s broken, AI makes it worse faster. The future is experience-first, not tool-first Winning platforms will design around how advisors actually work—not how software is structured. Chapters: 00:00 — Intro & setup Mark and James introduce Churni and frame the core problem in advisor tech. 04:30 — Why advisor tech feels fragmented How the industry ended up with tool sprawl instead of cohesive systems. 10:15 — The “wrong problem” in wealthtech Why most platforms optimize for features instead of outcomes. 17:40 — Growth creates operational chaos What actually breaks inside firms as they scale. 24:10 — The myth of the all-in-one platform Why 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 workflows What an experience-first platform actually looks like. 45:00 — Final thoughts & future outlook Where wealthtech and AI are headed next.
S1 · E24
April 28 · 1 hr 4 min
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 production Real-world deployment challenges Where AI delivers value today What breaks at scale How to think about AI realistically Chapters: 00:00 Intro 06:00 Production challenges 14:00 What works 22:00 Failures and lessons 30:00 Future outlook
S1 · E22
April 23 · 1 hr 9 min
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
S1 · E21
April 22 · 1 hr 4 min
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 fines Why advisors still end up with two phones Archiving iMessage, WhatsApp, LinkedIn, and more Using AI to reduce false compliance flags Whether meeting transcripts and chat histories should be archived The future of proactive compliance tooling Data lakes and AI agents for compliance intelligence
S1 · E20
April 21 · 1 hr 4 min
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 practice Why meeting notes are only the starting point How AI can automate manual advisor workflows across tools and systems Why PDFs and email may persist longer than people think The “dashboards vs. pipes” framework for AI companies Why performance coaching may be more valuable than efficiency alone Where RPA and browser-based automation are finally becoming useful What’s overhyped and underhyped in AI right now Why compliance-first AI matters in wealth management Notable themes AI that does things, not just summarizes things Better advisor performance, not just faster admin work Human-in-the-loop systems as the path to practical automation The gap between AI hype and real operational value The coming shift from standalone tools to embedded intelligence Approximate chapter markers 00:00 Intro banter and mistaken identity with John O’Connell 01:09 Welcome and guest introduction 04:08 John Connell’s background and Focal overview 07:09 John’s origin story and the early thesis behind Focal 09:48 Fundraising, differentiation, and positioning in a crowded market 11:40 What advisors can do with agentic AI that they can’t do with basic tools 13:12 PDFs, forms, and why legacy workflows still persist 16:00 Email, interfaces, and whether the protocol ever really dies 22:41 Dashboards vs. pipes and where AI products fit 29:01 RPA, browser automation, and why robustness matters 33:14 Where advisors should start with AI adoption 36:35 Proactive vs. reactive AI and coaching insights 40:22 Measuring advisor performance and what “best” actually means 48:51 War stories from the front lines of selling AI to advisors 52:55 What’s next in AI for wealth management in 2026 and beyond 58:34 Rapid fire: CRMs, hype cycles, favorite tools, and final thoughts
S1 · E18
March 31 · 1 hr
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

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