Fintech Impact

In this episode of FinTech Impact, Jason Pereira sits down with Cien Solon, founder of Launch Lemonade, to explore how domain experts can build custom AI tools without writing code. Solon explains how the platform acts as an AI marketplace, allowing industry experts to package their knowledge into specialized AI "agents" that businesses can safely deploy.The conversation highlights how Launch Lemonade solves low corporate AI adoption by providing a secure, audit-friendly environment that supports over 100 language models. By combining flexible model options with natural-language workflow tools, the platform allows regulated businesses to automate complex tasks while ensuring complete data privacy and compliance.Be sure to give this episode a listen to discover how custom AI agents are helping experts monetize their knowledge and giving businesses a safer way to adopt AI.Episode Highlights:00:00 Welcome and Guest Intro00:30 What Launch Lemonade Does01:12 Origin Story and Branding02:24 Why Generic AI Fails04:15 Expert Built Agents and Security05:50 Defining Agents and Harnesses08:38 Multi Model Strategy and Costs16:13 Building and Running Workflows18:41 Customers and Use Cases21:46 Roadmap Payments and Collaboration25:00 Founder Q and A Wrap Up29:55 Final Thoughts and OutroResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorLaunch LemonadeLinkedIn - Cien Solon’s LinkedIn Hosted on Acast. See acast.com/privacy for more information.

Connecting fragmented advisor data into a unified, AI-driven workflow is the central theme of this episode, as Jason Pereira sits down with Boris Rankov, Head of AI for Wealth at InvestCloud. Rankov breaks down how InvestCloud—a wealthtech giant supporting $8 trillion in assets—is evolving its SMART AI and PM Plus capabilities to make wealth management more accessible and efficient.Listeners will get an inside look at how InvestCloud builds secure, enterprise-grade AI using semantic layers, guardrails, and deterministic tools to guarantee accuracy in regulated markets. Rankov highlights how these agent-orchestrated workflows simplify advisor operations by surfacing real-time insights, automating meeting prep and CRM follow-ups, and expanding research access—all while keeping human advisors firmly in the loop to maintain client trust.Be sure to give this episode a listen to discover how enterprise AI is reshaping advisor workflows and laying the groundwork to democratize wealth management.Episode Highlights:00:00 Welcome to Fintech Impact00:36 Meet InvestCloud01:18 SMART Platform Flywheel02:37 Adapting to GenAI04:52 Semantic Layer and Data05:27 Reliability and Eval Harness07:42 Agent Orchestration Explained10:47 Validation and Release Testing17:51 Advisor Wins and Workflow20:05 Client Portal and Trust21:35 Rapid Fire Questions25:36 Closing and SponsorResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorInvestCloudLinkedIn - Boris Rankov’s LinkedIn Hosted on Acast. See acast.com/privacy for more information.

Host Jason Pereira interviews Bruno Teixeira, founder of Aegis AI Analytics, about helping mid-sized firms strategize and implement AI in workflows. Teixeira, with 20 years in analytics across banks in Brazil and Canada and experience on CPP Investments’ gen AI team, explains that smaller firms can adopt AI faster due to less bureaucracy but must avoid treating AI like a “genie” or automating broken processes. He emphasizes change management, hands-on enablement (hackathons, office hours, champions), and aligning workflow and incentives rather than simply distributing tools like Copilot. Success should be measured by meaningful productivity and output gains, not prompt counts, using team-appropriate metrics and incremental automation targets (e.g., reducing validation work hours). He advises not to wait for new frontier models and to improve outcomes through clearer context and reverse-engineering desired outputs.Episode Highlights:00:00 Welcome and Guest Intro00:31 Bruno’s Background in AI02:28 Why Mid-Sized Firms Struggle04:21 Picking the Right Use Case06:09 AI and the Workforce Reality08:47 Adoption Programs That Work10:10 Hands-On Training and Champions12:45 Deployment Checklist and Measurement14:39 KPIs and Automation ROI16:44 Common Pitfalls and Prompting21:58 Getting Started and Final Q&A26:33 Wrap-Up and Sponsor MessageResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorAegis AI & AnalyticsLinkedIn - Bruno Texeira’s LinkedIn Hosted on Acast. See acast.com/privacy for more information.

Host Jason Pereira interviews Max Lane, CEO of Flourish, a wealth tech platform aiming to bring private bank-like banking and lending experiences to independent RIAs. Lane explains Flourish’s origins in 2017 out of a New York asset manager serving RIAs, launching Flourish Cash in 2018 and recently Flourish Lending for residential mortgages and refinancing. He describes how advisors use Flourish Cash to bring held-away client cash into view, offering a single 3.25% APY, elevated FDIC pass-through insurance via 40+ program banks (up to $7.5M individual, $15M joint), and advisor tools like “Notable Transfers” for planning opportunities. Flourish Lending provides advisor-centric origination, rate scanning, dedicated loan officers, and refi monitoring alerts to help retain clients and compete with private banks’ relationship pricing; monetization comes from cash spread and mortgage commissions.Episode Highlights:00:00 Welcome and Guest Intro00:19 What Flourish Does00:50 Origin Story and Products02:35 Why Advisors Need Banking03:47 Cash and Lending Value07:53 Cash Balances Reality Check09:44 Flourish Cash Workflow13:50 Flourish Lending Workflow18:24 How Flourish Makes Money20:38 FDIC Coverage Explained22:54 Three Closing Questions26:38 Wrap Up and Call to ActionResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorFlourishLinkedIn - Max Lane’s LinkedIn Hosted on Acast. See acast.com/privacy for more information.

Eliminating repetitive paperwork is the driving force behind Dispatch, a platform acting as a neutral data translation layer—a "Plaid for wealth management." CEO Rob Nance explains how Dispatch solves the industry's biggest operational headache by automatically syncing client data across CRMs, custodians, and financial planning software without requiring firms to replace their existing tech stack.By building a standardized data connection, the platform streamlines "revenue-critical" moments like digital account opening and advisor transitions—highlighted by a recent case where a firm migrated $500 million and 3,300 accounts in just 2.5 weeks. As Dispatch expands its deep integrations and opens its API to other fintechs, it aims to eliminate redundant data entry, reduce form errors, and help wealth management practices unify their operations.Give this episode a listen to discover how modern data layers are eliminating redundant data entry and unifying wealth management practices.Episode Highlights:00:00 Welcome and Guest Intro00:34 Dispatch Origin Story01:06 Revenue Critical Data Moments03:37 Client Data Focus and Planning05:06 Plaid for Wealth Management06:34 Standardization and Translation Layer09:28 Network Effects and Deep Integrations13:55 Neutral Pipes in an AI OS Race18:03 Next Frontier Advisor Transitions19:44 Transition Complexity and Case Study22:06 Rapid Fire Closing Questions25:07 Wrap Up and Sponsor MessageResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorDispatchLinkedIn - Rob Nance’s LinkedIn Hosted on Acast. See acast.com/privacy for more information.