AI Is Not an Easy Button: Mike Masters on Building Account Management

Meet Mike Masters

Mike Masters is VP of Account Management at Ocrolus, the AI-powered document automation and analytics platform that helps lenders make faster, safer credit decisions. Before landing in fintech, Mike spent over a decade in automotive sales — selling cars through college, managing finance departments, and eventually leading entire sales teams at dealerships. When family life made retail hours untenable, he pivoted into AI-driven marketing for the automotive industry, which opened the door to account management and eventually brought him to Ocrolus.

It's a path that gave him something most account management leaders don't have: a deep, instinctive feel for how customers think — built one handshake at a time on the dealership floor. That perspective shapes everything about how he approaches AI in his work today.

From the Showroom Floor to the AI Frontier

Mike doesn't talk about AI the way most tech leaders do. For him, it was never about the technology itself — it was about using data to get better results, faster. At automotiveMastermind, where he spent seven years before Ocrolus, his team used data modeling and machine learning to help dealerships market more efficiently than they ever had before. That experience planted a seed.

When he arrived at Ocrolus, a company that lives and breathes AI in the lending ecosystem, the question wasn't whether to use AI in his account management practice — it was how to do it without losing what makes account management work in the first place: the human relationship.

His first experiments were the ones most teams start with. Summarizing data, building meeting prep decks, aggregating usage metrics across the various systems his team touches daily. The goal was simple: spend less time chasing reports and more time in front of clients. But even those early experiments came with a catch.

What's Actually Working (And What Isn't)

Mike runs a high-touch operation — roughly one account manager for every thirty accounts — and his North Star is straightforward: excellent client experience, measured through retention, expansion, and advocacy. AI's role in that equation is to free up time so his team can deliver on those three things more consistently.

The most valuable implementations so far have been around data aggregation and preparation. Account managers typically have to pull information from multiple sources — usage data, billing data, success metrics, accuracy reports — before they can have a meaningful conversation with a client. AI tools that consolidate and surface that information faster mean his team walks into calls better prepared and with more relevant insights.

But the obstacles showed up fast. Clients started noticing when communications were AI-generated. The telltale dashes, the slightly off phrasing, the words that didn't sound like the person they'd been working with for months.

"I've heard from clients — 'Hey, that's a great point, but next time, don't use ChatGPT to communicate with me.' When you're a very engaged account manager, your clients pick up on your little nuances. It's a fine line of utilizing the tools while still making sure it sounds like you." — Mike Masters, VP of Account Management at Ocrolus

At Ocrolus, they've started calling their approach "AI with the human touch" — a phrase that sounds like a tagline but actually describes a real operational discipline. Every piece of AI-generated output gets reviewed, edited, and personalized before it reaches a client. The efficiency gain isn't in sending faster — it's in preparing faster, so the actual communication remains authentically human.

Mike is also clear-eyed about accuracy. In the lending ecosystem, sloppy data isn't just embarrassing — it's dangerous. His team can't afford to blindly recite what an AI tool surfaces. The due diligence of double-checking everything remains non-negotiable, even as the tools get better at getting it right the first time.

The Hard-Won Lessons

After years of experimenting, Mike keeps coming back to one idea: AI is not an easy button.

"There's no such thing as an easy button. That's where people got tripped up. These are tools to make you more efficient so that you can have higher quality touch points with your end clients. There's a drastic difference between improved efficiencies and easy." — Mike Masters, VP of Account Management at Ocrolus

The distinction matters. "Easy" looks like copying a ChatGPT response and hitting send. "Efficient" looks like using AI to consolidate a data set in minutes instead of hours, then adding your own analysis and personal context before presenting it to a client. One saves time at the expense of trust. The other saves time and deepens it.

He's also learned to resist the temptation to introduce too many tools at once. There's a point of diminishing returns — if an account manager has to learn five new platforms to save twenty minutes, the math doesn't work. Mike focuses on finding the minimal set of tools that deliver the maximum efficiency gain without overloading his team.

What's Next

Looking ahead two or three years, Mike believes that the ability to aggregate and interpret client data in real time will become table stakes for every account management team. The teams that stand out won't just be faster — they'll be the ones who use that speed to deliver a genuinely better client experience.

He also sees a bigger role for AI in change management. Ocrolus sells an AI-forward product into a lending ecosystem that still carries real stigma around automation. Helping clients navigate that transition — not just with the product, but with the support around it — is where he thinks the best account management teams will differentiate themselves.

"You're either going to utilize the tools and get really good at it, or you're going to get left behind. But the greats are going to be at the forefront of looking at these tools not in a selfish way, but asking: how does it give a better experience to the clients you're working for?" — Mike Masters, VP of Account Management at Ocrolus

For Mike, that's what it all comes down to. Not whether AI can make your team faster — of course it can. The real question is whether you use that speed to serve your clients better or just to do less. The answer to that question, he believes, is what will separate the good from the great.