What does it really take to close a deal? And when AI can handle the cold calls, the follow-ups, and the qualification questions — what’s left for humans to do?
In a recent episode of The Human Code, host Don Finley sat down with Jarod Bowersett, a 15-year sales veteran and co-founder of HeyRafi, an AI-powered outbound sales platform. What followed was one of the most candid, wide-ranging conversations about the intersection of technology, human relationships, and the future of entrepreneurship we’ve had on the show.
Whether you’re a founder trying to scale your sales process, a salesperson wondering if AI is coming for your job, or just someone trying to make sense of where all this technology is taking us — this episode has something for you.
The Unsexy Truth About Sales
Jarod has spent the better part of his career building high-ticket sales teams and closing multi-million dollar deals — the kind that take years and involve $25M to $50M contracts. But when asked what the real secret to sales success is, his answer was refreshingly simple.
“Really what sales is, is just following up with somebody like 500 times.”
Not the negotiation tactics from Chris Voss. Not complex behavioral psychology or elaborate CRM workflows. Just relentless, disciplined follow-up. Jarod jokes that when he figured this out, his first thought was: “I’m not the smartest guy, but I can do this.”
And that insight — that the fundamentals of sales are profoundly unsexy — became the philosophical backbone of what he would eventually build with HeyRafi.
What Is HeyRafi, and Why Does It Matter?
HeyRafi is an AI platform that makes outbound calls, sends texts, and manages email outreach on behalf of businesses. In essence, it functions as an AI replacement for the prospecting and qualification work that traditionally falls on human salespeople.
But Jarod is quick to clarify what this means in practice — and what it doesn’t mean. HeyRafi doesn’t replace the relationship. It handles the grind so the relationship can flourish.
“We can take all the really just uneffective things that most salespeople have to do… weaponize some technology to do all those things for us. We sit back in an armchair and we can make 10X, 40X, 100X than what we used to.”
The vision is a salesperson who wakes up each morning to a full calendar of warm, qualified discovery calls — no cold outreach required. Their entire day becomes the part of sales they actually love: building relationships, understanding pain points, and closing deals.
Will People Actually Talk to an AI? The Data Is Surprising
One of the most compelling segments of the episode revolves around a question Jarod hears constantly from prospective clients:
“What happens if somebody thinks it’s an AI?”
His answer, backed by real data: “Nobody cares.”
HeyRafi’s average phone call — across the good, the bad, and the ugly — runs about one minute long. And the key insight Jarod shares is that consumer frustration with automated systems has never really been about the technology itself. It’s about being underserved.
“The reason that you get pissed off on your call with Verizon isn’t because you’re talking to a robot. It’s because you’re not being served as the consumer fast enough or in a way that’s meaningful for you.”
AI changes that equation. A well-built AI agent has full context immediately, can handle any question in any order, and moves the conversation forward without hold music, department transfers, or scripted stalls. People adapt quickly when the experience is good.
The Qualification-First Paradigm
Jarod uses the term “adjudication” to describe what his AI does inside a call flow: moving a prospect efficiently from Point A to Point B by quickly determining fit and intent.
This flips the traditional sales funnel on its head. Instead of salespeople spending 80% of their time on prospecting and qualification, those tasks are handled before the human ever enters the picture. The salesperson arrives at the conversation already knowing the prospect’s needs, objections, and level of intent.
Don puts it well: “We can get all the qualification stuff done beforehand. We can ask questions, we can have the questionnaires through, we can figure out pain points even before you go.”
The result is a sales process that’s faster for the buyer, less exhausting for the seller, and more likely to end in a genuine connection rather than a transactional exchange.
The Future of SaaS: From Seat Licenses to Usage-Based Models
The conversation takes a fascinating detour into the evolving economics of software. Jarod poses a question about whether micro-SaaS is dying — and Don’s response is nuanced.
His take: micro-SaaS products are the most vulnerable to displacement by AI agents, precisely because they solve narrow, well-defined problems that a capable agent can now replicate on demand. Larger platforms survive because they offer something harder to replicate: reliable data storage, deeply integrated schemas, and years of accumulated user behavior.
But the bigger shift Don sees is in how SaaS companies will charge for their products. He points to Atlassian — the company behind Jira — which recently reported its first-ever decline in enterprise seat sales. Microsoft and Salesforce are making similar pivots.
“I think we’re gonna see a transition from per-seat license monthly billing to how much you can accomplish with some of these platforms.”
This compute-based, outcome-oriented pricing model aligns the incentives of the software company with the outcomes of the customer. You don’t pay for access — you pay for results.
Jarod connects this to HeyRafi’s own experiments. Rather than traditional SaaS licensing, they’re exploring usage-based distribution and even providing schema-level access to entrepreneurial users who want to build on top of their infrastructure — creating a developer ecosystem as a distribution channel.
Selling to Agents: The Next Frontier
As AI agents become the first point of contact in the buying journey, the nature of marketing and sales itself is shifting. Don describes asking Codex to find him a solution to a technical problem — and watching it independently compare three vendors, evaluate requirements, and make a recommendation.
This has real implications for how companies present themselves. Traditional marketing creates an emotional hook. But an AI agent doing vendor research doesn’t need to feel something — it needs structured, technical information it can evaluate against explicit criteria.
“What we’re doing is we’re ramping up our marketing so that it has more of a technical edge to it — more of a feature and functional kind of perspective — so that it does allow for a system to understand what our product does, how it does it.”
But Don is careful not to abandon the human dimension. Even in an agent-first discovery process, the human emotional experience still matters — especially when the deal gets large enough that someone has to sign a contract.
“If we’re doing multimillion-dollar deals, you know, seven, eight-figure deals, it’s going to involve a human. You’re not going to sign that contract without understanding — ‘I have somebody I can call for this.'”
The implication is that marketing will need to speak two languages simultaneously: one for the agents doing the research, and one for the humans making the final call.
Why Human Relationships Will Always Matter in High-Ticket Sales
Both Don and Jarod circle back to a core belief throughout the episode: at the highest levels of business, people still buy from people.
Jarod frames it beautifully: “I think people are still gonna wanna buy from people. Like especially for higher-ticket services — there’s still gonna be this. People are still gonna want to be able to shake a hand, so to speak.”
Don draws on a powerful metaphor from how he coaches his own sales team. The salesperson, he argues, is never the hero of the story — that’s the customer. The salesperson is Morpheus. Their job is to prepare the hero for the journey ahead, not to make the sale about themselves.
“You are not Neo in the story. You’re Morpheus. This is not your journey — it’s their journey. You have to get them ready for where they’re going.”
This philosophy becomes even more important as AI handles the top of the funnel. When a human finally enters the conversation, their entire value is in the relationship — not the information.
AI, Time, and the 50% Net Margin Future
On a personal level, Jarod is most excited about what AI gives back: time. Time with family. Time to build. Time to think.
He paints a compelling picture of where business economics are heading: “I would be shocked if we didn’t find the average business in the next 10 years with a net margin of 50% plus, where the vast majority of overhead is infrastructure on technology — not headcount.”
Don reinforces this with data: two years ago, the average tech company generated roughly $100,000–$150,000 of revenue per employee. For AI-first companies today, that figure has jumped to $600,000–$750,000 — with no proportional increase in labor costs.
This isn’t just good news for large companies. For the solo entrepreneur or small team, it means the ability to build a business at a scale that previously required dozens of people — and to do it while still having a life outside of work.
The Jobs We Can’t Imagine Yet
One of the most thought-provoking exchanges in the episode comes when Don asks what’s next for the nature of work itself. He points out that “content creator” didn’t exist as a job category when he and Jarod were growing up — and wonders what the equivalent will be for the generation entering the workforce now.
Jarod takes it further. He references an idea he once heard — perhaps from a TED Talk — about the aspiration that everyone could be an entrepreneur. Not because everyone wants to be one, but because the tools and support to do it might finally exist for the first time.
“What if people had so much technology they could do those things? Think of all the goods and services that could potentially exist.”
Don layers in a reference to Sacred Economics — a book that challenges the commoditization of everything by money — and suggests that as intelligence becomes commoditized through AI, what becomes truly scarce and valuable is the authentic, irreplaceable human experience.
Closing Thought: Be Curious
When Don asks Jarod what he’d like to leave the audience with, the answer is simple and sincere:
“Be curious.”
In a world changing this fast, curiosity isn’t just a nice personality trait — it’s a competitive advantage. The people who stay curious, stay open, and stay willing to rebuild their assumptions are the ones who will find opportunity in the chaos.
