How AI-Native CRM Can Help Financial Advisors Serve Clients Better with Thomas Clawson (Ep. 14)

Financial advisors want to give every client thoughtful, personal attention, but outdated systems often consume the time needed to provide it.

What could change when your CRM starts helping you recognize needs, complete routine work, and stay connected?

In this episode, James Knapp speaks with Thomas Clawson, Co-Founder of Slant CRM, about building an AI-native client relationship management platform for financial advisors. Thomas explains how advisor feedback shaped Slant, why useful AI needs access to the system of record, and how automation can reduce repetitive back-office work. They also examine data protection, document generation, annual review tracking, money movement, and the human relationships that remain at the center of financial advice.

Thomas discusses:

• Why AI becomes more useful when client data, documents, tasks, and team workflows are connected in one place
• How advisor feedback helped Slant address annual reviews, compliance tasks, money movement, and onboarding
• Where automation may complete much of a multi-step process while keeping the advisor involved in key decisions
• How job changes, family events, and client records can create timely opportunities for thoughtful advisor outreach
• Why technology should give advisors more time to provide attentive service and build lasting client relationships
• And more!

Connect with us!

• Boyum Wealth Architects
• LinkedIn: James Knapp, CFP®
• LinkedIn: Boyum Wealth Architects
• [email protected]
• Subscribe to the podcast here!

Connect with Thomas Clawson:

• LinkedIn: Thomas Clawson
• Website: Slant CRM
• [email protected]  

About Our Guest:

Thomas Clawson is the Co-Founder of Slant CRM, an AI-native client relationship management platform built specifically for financial advisors. Before launching Slant, he worked at high-growth technology companies including Podium and Whatnot, where he gained experience building products that scale around customer needs. Guided by a philosophy of listening closely to users, Thomas focuses on creating technology that reduces administrative work, strengthens client relationships, and helps advisors spend more time delivering meaningful advice. His work centers on combining artificial intelligence with practical workflows that improve the everyday experience of financial advisory firms.