Larry Shumbres is the Founder and CEO of Archive Intel, an AI-powered compliance solution designed to streamline the archiving of electronic communications for financial institutions. Under his leadership, Archive Intel secured $1.5 million in seed funding to enhance its AI-driven compliance solutions. ​Larry is a seasoned fintech entrepreneur with over 20 years of experience in the financial technology sector, having held positions at leading firms such as Charles Schwab, Morningstar, and New York Life Investments. He founded and successfully exited Totum Risk, a pioneering risk tolerance platform acquired by TIFIN Wealth in 2020.

Legacy compliance software in the financial industry is outdated, expensive, and inefficient. Firms often struggle with manual processes, high rates of false positives, and a lack of visibility into their data — sometimes even being charged to retrieve it. Why are so many companies still stuck with tools that fail to meet the demands of today’s fast-paced, data-driven world?

Larry Shumbres, a fintech entrepreneur and expert in compliance and AI, offers a fresh take on modernizing the regulatory space. Drawing on decades of experience, he outlines how to replace tedious manual reviews with AI-powered agents that automate flagging, auditing, and proactive messaging. By focusing on intuitive design, customer feedback, and realistic AI implementation, Larry shares how firms can reduce false positives by up to 98% while cutting manual tasks by 85%. He also emphasizes the importance of staying personally involved with customers and regularly listening to their pain points to keep innovation alive.

In this episode of The Customer Wins, Richard Walker interviews Larry Shumbres, CEO of Archive Intel, about transforming compliance with AI in the fintech industry. Larry discusses building customer-first technology, challenges with legacy vendors, and why staying connected to users matters. He also covers the role of AI agents, proactive compliance, and the cost of outdated workflows.

​Patrick Hannon is the Vice President of SaaS Commercialization at Fidelity Labs, where he develops and implements go-to-market strategies for innovative financial technology solutions. With over 12 years in the WealthTech industry, he has held significant roles at companies such as Nitrogen (formerly Riskalyze) and Advicent (now part of InvestCloud), gaining deep expertise in enterprise wealth management. Patrick is recognized for his commitment to mentorship, actively guiding young professionals in their career development. He is also a thought leader, focusing on integrating technology into financial planning and compliance to enhance advisor workflows and client experiences. ​

Navigating innovation in the financial services industry can feel like a tightrope walk — balancing compliance, customer trust, and speed-to-market. Many fintech startups struggle to become enterprise-ready while serving advisors effectively and efficiently. How can emerging technologies gain traction in a highly regulated space while solving real problems for advisors and clients?

Patrick Hannon, a SaaS commercialization expert with over a decade in WealthTech, offers a blueprint for aligning startup agility with enterprise-grade expectations. He shares how leveraging proprietary data and maintaining a customer-centric mindset leads to stronger, more scalable solutions. By melding AI with the power of human relationships in advisor-client interactions, startups can solve compliance, marketing, and operational pain points. Patrick also dives into the importance of giving new talent room to fail safely as a method of cultivating leadership and innovation.

In this episode of The Customer Wins, Rich Walker interviews Patrick Hannon, VP of SaaS Commercialization at Fidelity Labs, about accelerating innovation in financial services. Patrick explores how AI-driven solutions help solve real-world advisor challenges, discusses startup incubation, the value of proprietary data, and balancing speed with regulatory compliance.

Ryan Eisenman is the Co-founder and CEO of Arch, a fintech company that automates the administration and management of private investments. A Houston native, he graduated from Vanderbilt University with a degree in Human and Organizational Development, along with minors in Corporate Strategy, Financial Economics, and Economics. Before founding Arch in 2018, Ryan gained experience in business development and analysis through roles at firms such as Deloitte and Techstars. Under his leadership, Arch has grown to serve over 270 clients, managing more than $100 billion in alternative investments. ​

Managing private market investments is often a tedious, time-consuming process. Advisors and investors must sift through countless emails, log into multiple portals, and manually extract key information from financial documents. Is there a way to streamline this workflow and free up valuable time for more strategic decision-making?

Ryan Eisenman, an expert in investment management technology, recognized these inefficiencies and co-founded a solution to automate them. He explains how AI and automation can eliminate manual document processing, allowing investment professionals to access structured data and pre-built dashboards instantly. He shares how leveraging AI to summarize lengthy financial reports can drastically improve efficiency and decision-making. Ryan also discusses the importance of balancing automation with a managed service approach to ensure accuracy when dealing with unpredictable document formats.

In this episode of The Customer Wins, Richard Walker interviews Ryan Eisenman, CEO of Arch, about using AI to simplify private investment management. Ryan explains how automation helps investment professionals manage their portfolios more effectively. He also covers the evolution of his company’s technology, the importance of customer feedback in product development, and strategies for building a scalable, customer-focused business.