5 Things I Learned Scaling Revenue with AI

I remember the exact moment I realized we were screwed. We’d just closed a Series A for my last company, RemoteTeam, and the board was breathing down my neck to “pour gas on the fire.” The mandate was simple: hire more sales reps, close more deals, and show a hockey-stick growth curve. So that’s what I did. I hired ten new reps in three months. And our revenue flatlined.

It was a disaster. The reps were stepping on each other's toes, chasing the same junk leads, and morale was in the toilet. I had fallen for the classic founder trap: believing that more headcount automatically equals more revenue. It doesn’t. It just creates more chaos, unless you have a system.

That failure sent me down a rabbit hole of sales methodologies, and what I discovered was that the old way of doing things was broken. That’s when we started experimenting with AI. It wasn't about replacing our reps, but about making them smarter, faster, and more effective. Here’s what I learned.

1. Your Best Leads Are Already in Your CRM, You Just Can't See Them

We had thousands of leads in our CRM, but our reps were treating them all the same. They'd start at the top of the list and work their way down, regardless of whether a lead was a hot prospect or a tire-kicker. It was a massive waste of time.

We decided to build a simple lead scoring model. We looked at our best customers and identified their common attributes: company size, industry, technology they used, etc. Then we built a model that would automatically score new leads based on those attributes. It was a game-changer.

Suddenly, our reps knew exactly which leads to focus on. They were spending their time talking to prospects who were actually a good fit for our product. Our pipeline tripled in six months, and we didn't hire a single new rep.

For example, we discovered that our best customers were all using a specific type of payroll software. So we built a scraper that would identify companies using that software and automatically score them as hot leads. This was a goldmine. Our reps were having conversations with prospects who already understood the problem we were trying to solve. It was like shooting fish in a barrel.

We also found that prospects who had visited our pricing page more than twice in a week were almost certain to close. So we added that to our model. And we found that prospects who had downloaded our whitepaper on remote work were also highly likely to convert. So we added that too. Pretty soon, we had a powerful model that was surfacing the best leads in real-time.

2. Your Reps Are Lying to You (and Your CRM)

Okay, maybe they're not lying, but they're not telling you the whole truth. Sales reps are optimists by nature. They're always going to tell you that a deal is “just about to close,” even when it’s hanging on by a thread. This makes it impossible to forecast revenue accurately.

We started using a revenue intelligence tool that connected to our CRM and email. It used AI to analyze the content of our reps’ communications with prospects. It could tell the difference between a prospect who was genuinely interested and one who was just being polite. It looked at things like how quickly they responded to emails, whether they were asking buying questions, and whether they were looping in other decision-makers.

This gave us a much more realistic view of our pipeline. We could see which deals were on track and which were at risk. We could also see which reps were sandbagging and which were overly optimistic. It was like having a truth serum for our sales team.

I remember one deal in particular. Our top rep had it forecasted to close for $100,000. But our revenue intelligence tool was flagging it as high-risk. The prospect was taking days to respond to emails, and their tone was becoming increasingly non-committal. We were able to intervene and save the deal, but it was a wake-up call. We couldn’t rely on our reps’ gut feelings anymore. We needed data.

Another time, the tool flagged a deal that a junior rep had marked as "lost." The AI had picked up on buying signals in the prospect 's emails that the rep had missed. I called the prospect myself, and it turned out they were still interested, but had been dealing with an internal fire. We ended up closing that deal for $50,000. That was a commission check the junior rep was very happy to get, and a great lesson for the whole team.

3. Your Sales Team is Drowning in Tools

I once counted the number of tabs a rep had open on their browser. It was 27. They had their CRM, their email, their calendar, their sales enablement tool, their prospecting tool, and a dozen other things. They were spending more time switching between tools than they were actually selling.

This is a huge problem. Reps are not technologists. They want to sell. Every minute they spend fighting with their software is a minute they’re not talking to customers. That’s why I’m a huge believer in embedded AI. Instead of giving reps another tool to learn, we should be embedding AI into the tools they already use.

At RemoteTeam, we built a simple AI-powered outbound tool that lived inside Gmail. It would automatically find prospects, write personalized emails, and schedule follow-ups. Our reps loved it because it saved them hours of manual work every day. They could focus on what they did best: building relationships and closing deals.

This is the future of sales software. It’s not about building more dashboards. It’s about building tools that are so seamless, so intuitive, that reps don’t even know they’re using them. It’s about making AI invisible. The best tools don't feel like tools at all. They feel like a natural extension of your workflow. Think about how Google Maps just works. You don't need a manual. You just type in where you want to go, and it gets you there. That's how sales software should be.

4. The Cold Call is Dead. Long Live the Smart Call.

I hate cold calling. It’s a brute-force tactic that alienates buyers and burns out reps. But that doesn’t mean you should stop calling prospects. You just need to be smarter about it.

Before we call a prospect, we use AI to learn everything we can about them. We look at their LinkedIn profile, their company’s website, their recent press releases, and even their personal blog. We try to understand their business, their challenges, and their goals. We want to have a real conversation with them, not just read from a script.

I’ll never forget a call I made to a prospect who was the CEO of a fast-growing startup. I had read an article where he talked about his passion for sailing. So when I got him on the phone, I didn’t start with a pitch. I started by asking him about his last sailing trip. We talked for ten minutes about sailing before we even mentioned business. By the time we got around to talking about my product, he was already sold. He knew that I had done my homework and that I was genuinely interested in him as a person, not just as a prospect.

This isn't about being manipulative. It's about being human. People want to do business with people they like and trust. And the best way to build that trust is to show that you've taken the time to understand them. AI can help you do that at scale. It can surface the key insights you need to have a meaningful conversation with every prospect.

5. The Future of Sales is a Partnership Between Human and Machine

I’m a huge believer in the power of AI, but I don’t think it’s ever going to completely replace human salespeople. There are certain things that humans are just better at. We’re better at building relationships, we’re better at understanding nuance, and we’re better at creative problem-solving.

I see the future of sales as a partnership between humans and machines. AI will handle the repetitive, data-driven tasks, and humans will focus on the high-touch, strategic work. AI will be the analyst, and the human will be the closer.

This is not a zero-sum game. It’s about making our sales teams more effective and more efficient. It’s about giving them the tools they need to succeed in a world where buyers are more informed and more demanding than ever before.

I’ve seen this transformation firsthand. I’ve seen how AI can take a struggling sales team and turn it into a revenue-generating machine. And I’m convinced that we’re just scratching the surface of what’s possible. The companies that embrace this new reality will be the ones that win in the long run. The ones that don’t will be left behind.

This isn’t just a theory. At RemoteTeam, we saw a 3x increase in our pipeline and a 50% reduction in our sales cycle after implementing these strategies. And we did it all without adding a single new rep to the team. So if you’re still trying to scale your sales team by throwing bodies at the problem, I have a message for you: there’s a better way. It's not about working harder, it's about working smarter. And AI is the key to unlocking that smarter way of working.

Frequently Asked Questions

Can I implement all of these at once?

I'd strongly recommend against it. Pick the 2-3 items that resonate most with your current situation and focus there. Trying to do everything simultaneously is a recipe for doing nothing well.

Which item on this list has the highest impact?

It depends on your stage and context, but in my experience, the items near the top of the list tend to have the broadest applicability. That said, sometimes the less obvious items create the biggest breakthroughs for specific situations.

Are these recommendations still relevant in 2026?

Absolutely. While specific tools and tactics change, the underlying principles remain consistent. I update my thinking regularly based on what I'm seeing in the market and across my portfolio companies.

How were these items selected?

Each item on this list comes from direct experience, either from building my own companies or from patterns I've observed across the 200+ startups I've invested in. I prioritize practical, actionable items over theoretical concepts.