Show Notes: Heartwired – Emotionally Intelligent Leadership

Episode Title: The Last 20%: How a CFO Uses AI, Reads Rooms, and Tells Clients What They Don't Want to Hear

Host: Dr. MJ

Guest: Jay Kaplan, Co-Founder & Principal, Tuross Group

Episode Summary

In this episode of Heartwired, Dr. MJ sits down with Jay Kaplan — co-founder and principal of Tuross Group, an outsourced financial operations firm serving complex businesses across the U.S. — for a conversation that turns out to be as much about emotional intelligence as it is about finance.

With 15 years embedded in the real world of small and mid-sized businesses, Jay brings the grounded perspective of someone who has sat at the table when the numbers reveal hard truths — and had to decide what to do with them. He shares how his team uses AI to compress hours of analysis into minutes, why he still insists humans own the last 20%, and what it actually takes to walk into a room with data that calls out the good, the bad, and the ugly — and say it out loud.

The conversation covers AI policy in regulated industries, the danger of yes-man AI, reading the room when you're the outsider delivering difficult news, and why the leaders who survive the AI wave will be the strategic thinkers — not just the technically skilled.

Key Takeaways

AI Handles 80% — Humans Own the Last 20%

Jay runs a 50-person financial firm where AI is deeply embedded in daily operations, and his rule is clear: AI takes you most of the way, but the final judgment, interpretation, and decision always belongs to a human. The models get things wrong. They hallucinate. They need a final set of eyes from someone who understands the context well enough to catch what doesn't add up.

AI Is a Yes-Man — You Have to Challenge It

If you ask AI what it thinks of your idea, it will tell you it's great. Jay's workaround: pit multiple models against each other, assign them specific expert personas, and actively prompt for conflicting viewpoints. Use the three outputs to inform your own judgment — don't let any one of them replace it.

Data Calls Out the Good, the Bad, and the Ugly

When a leadership team sees a real-time financial snapshot for the first time, the room shifts. The data highlights who's performing, where the margins are bleeding, and — often painfully — when a long-trusted employee is in the wrong seat. Jay's job is to surface that truth clearly. What happens next is always the client's call.

Don't Ask Questions You Don't Want Answered

Jay's quiet rule with clients: if you ask for an honest assessment, you're going to get one. His team takes emotion out of the numbers and calls it straight — not to be harsh, but because that's the job. The leaders who can receive that information and act on it are the ones who build durable businesses. The ones who can't often already know it, even if they don't say so.

Culture and Leadership Quality Show Up on the Balance Sheet

Financial data doesn't lie about organizational health. Inefficiency, the wrong person in a key role, founder's syndrome, middle management problems — all of it eventually surfaces in the numbers. Jay reads those signals in person, not over Zoom, because the most important information in a room is often what the data alone can't show you.

Sensitive Data Has Hard Lines — Even with Enterprise AI

Jay's firm uses enterprise-level AI with full security controls and normalizes data before it ever enters a model. But his line is firm: personal identifying information, social security numbers, and protected health data under HIPAA do not go in. Security features help, but they don't eliminate risk — and in regulated industries, that distinction matters.

Crawl, Walk, Run — Especially When Things Look Good

Jay's advice for leaders who suddenly have clarity: don't race ahead. Build reserves, diversify your client base, keep your financials current within 24 hours, and think horizontally — not just about what you're making, but when it actually arrives and whether you can stay afloat while you're waiting. Most small businesses are three to six months from insolvency at any given time. Clarity is a tool, not a green light.

Strategic Thinking Is the Job That Won't Get Automated

In finance and law alike, the routine work is already being compressed by AI. What remains — and what will grow in value — is the ability to sit on top of these tools, challenge them, interpret their output, and translate it into action with full business context. The professionals who can do that will thrive. Those who can't will be the first to be automated out.

Memorable Quotes

"Don't ask us a question you don't wanna hear the answer to."— Jay Kaplan

"A good leader takes all the blame and gives all the credit to everybody else — and that's hard for a lot of people to recognize."— Jay Kaplan

"That would've taken me hours to do in the past. It took minutes — but because I have the creativity and the strategic knowledge on top of it, I can talk intelligently about what it produced."— Jay Kaplan

"If you're worried about how you're gonna feed your family this week, all the forward-planning stuff doesn't resonate."— Jay Kaplan

About Our Guest

Jay Kaplan is Co-Founder and Principal of Tuross Group, an outsourced financial operations and advisory firm serving complex, highly regulated businesses across the United States. He operates as an embedded CFO, leading finance functions for companies ranging from early-stage operators to multi-entity businesses generating up to $50MM in annual revenue.

At Tuross Group, Jay leads a global team of 50+ professionals delivering financial data that is consistently no more than 24 hours current — covering accounting, payroll, AR/AP, inventory, and reporting. His firm is deeply embedded in the cannabis industry, with expertise in 280E mitigation, cost accounting, multi-entity structuring, and building lender- and investor-ready financials. His focus: helping operators move from survival mode to scalable, disciplined businesses.

Connect with Heartwired

Email: [email protected]

Website: drmjheartwired.com

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