Tag: Client Data

AI, Advisor Responsibility, and Client Data Safety with Lindsay Evans & Jesse Rosato (Ep. 22)

AI, Advisor Responsibility, and Client Data Safety with Lindsay Evans & Jesse Rosato (Ep. 22)

AI is changing how financial professionals work, but faster tools also raise new questions. 

How can advisors use AI while keeping judgment, review, and client care at the center?

In this episode, Andrew Evans and Lindsay Evans welcome Jesse Rosato, Chief Technology Officer at Nitrogen, for a conversation about AI, advisor workflows, data protection, and human review. Jesse explains why context matters more than clever prompts, how AI differs from traditional software, and why advisors remain responsible for client-facing work, even when AI helps speed up the process.

Jesse covers:

  • Why AI feels exciting for builders who want technology to solve real client and workflow problems
  • How consistent software outputs still matter when advisors rely on charts, analysis, and reports
  • Why generative AI can give different answers from the same prompt, even with the same context
  • How human review, testing, and ground truth help make AI output more useful for advisor teams
  • Why advisors remain responsible for client-facing work, even when AI supports the process
  • And more!

Connect with Rossby Financial: 

Connect with Andrew Evans: 

Connect with Lindsay Grace Evans: 

Connect with Jesse Rosato: 

About our Guest: 

Jesse Rosato is the Chief Technology Officer at Nitrogen, a leading wealth-technology platform powering tens of billions in assets for financial advisors. Over the past decade, he has led Nitrogen’s evolution from a seed-stage startup into a private-equity-backed industry leader, overseeing engineering, data, and AI strategy.

As CTO, Jesse spearheads Nitrogen’s AI transformation, embedding generative intelligence across both the company’s product and its internal engineering operations. Under his leadership, Nitrogen has cut development costs by 50% while improving customer NPS 17×, built an agentic-AI productivity framework adopted across engineering, and launched AI-powered products that help advisors prepare for client meetings, analyze portfolios, and extract insights from complex financial documents.

Recognized as one of the wealth-tech sector’s most forward-thinking engineering leaders, Jesse blends deep technical expertise with organizational design and product strategy. He is a frequent speaker on topics spanning AI transformation, engineering productivity, and the future of intelligent financial systems.

AI-Native CRM, Advisor Workflows, and the Future of Client Data with Thomas Clawson (Ep. 21)

AI-Native CRM, Advisor Workflows, and the Future of Client Data with Thomas Clawson (Ep. 21)

AI is changing how advisors manage client notes, workflows, and follow-up. 

But when does helpful automation become a better way to run the whole client relationship?

In this episode, Andrew Evans talks with Thomas Clawson, CEO of Slant, about why advisor CRM systems are being rebuilt around AI. Thomas shares how Slant grew from advisor feedback, why AI can remove workflow bottlenecks, how skills help advisors search and act on data, and why firms need to be careful when choosing AI software partners.

Thomas discusses:

  • Why advisor CRM systems often fail when relationship builders are forced into rigid data entry
  • How AI can catch client needs, create tasks, and move work forward without waiting on humans
  • Why Slant built an AI-native CRM around notes, relationships, workflows, and advisor data
  • How tokenizing and redacting client details can reduce what AI models see during use
  • Why advisors should choose AI vendors with technical discipline, clear guardrails, and real focus
  • And more!

Connect with Rossby Financial: 

Connect with Andrew Evans: 

Connect with Thomas Clawson: 

About our Guest: 

Thomas Clawson is the CEO and co-founder of Slant, an AI-native CRM built for financial advisors. With a background in building advisor-focused technology, Thomas is focused on helping firms simplify their workflows, strengthen client relationships, and use AI in practical, responsible ways. His work at Slant centers on making CRM less about manual data entry and more about helping advisors act on the right information at the right time.