AI Isn’t Enough: Why Accelerated Computing Will Decide Which Dental Organizations Win

Over the past few years, in conversation after conversation with office managers and DSO leaders, I kept hearing the same thing: “It feels like we’re running the practice with duct tape and screenshots.” That line stuck with me and it’s exactly why we built Elite Dental Force.

Something big is shifting in dentistry, and it’s not another gadget for the operatory. It’s happening behind the scenes, inside the systems that move information, money, and decisions through your practice or DSO. AI is no longer a futuristic idea or a buzzword on a slide deck. It’s turning into infrastructure, the quiet layer that keeps modern organizations running. Elite Dental Force was built on the belief that this shift was coming to dentistry faster than most people realized, and that someone needed to design for it on purpose, not by accident.

From day one, I’ve been obsessed with a problem most people weren’t naming out loud: we didn’t just have staffing issues or “bad billers,” we had a compute and plumbing problem. Every time your team checks eligibility, sends a claim, reads an EOB, or chases an unpaid balance, a lot of tiny digital decisions happen in the background. That decision engine is compute. For years, dentistry didn’t really have a data problem, it had a compute problem. There wasn’t enough power or connectivity to make sense of everything quickly, and the systems holding that information didn’t speak the same language. Once you see that, you can’t unsee it.

That world is changing fast. Computing power has gotten strong and affordable enough that AI doesn’t have to sit on the edges of your workflow anymore. It can sit in the middle of it, doing work your team used to do by hand. Across healthcare, AI has already gone from experiment to everyday tool. By late 2024, more than 70% of healthcare organizations were using AI in at least one area, with most of that usage focused on administrative and back-office work rather than flashy clinical pilots. At the same time, global AI spending is on track to reach around $632 billion by 2028, more than double 2024 levels. That money isn’t chasing gimmicks. It’s going into software and infrastructure that reduce administrative friction and protect margins. Elite Dental Force exists to bring that kind of operational AI to dentistry, especially in the places others tend to ignore because they’re hard.

If you’ve ever watched your team work, you already know dentistry has a data problem that’s uniquely painful. A lot of your most important information lives in places that don’t talk to each other: practice management systems, clearinghouses, payer portals, and third-party tools. Your PMS has one version of the truth, the clearinghouse has its own, and the payer has another. None of them are built to truly “speak” to one another. That lack of interoperability isn’t just frustrating it’s expensive. It turns your front office and billing teams into human APIs, copying, pasting, screenshotting, and double-checking information that software should be able to move on its own. I’ve lost count of how many times I’ve watched someone print an EOB, circle three lines with a pen, and then re-type everything into the PMS just to make sure it’s right.

On top of that, most practices still live in a half-digital, half-analog world. Scanned EOBs, PDFs, faxes, portal screenshots you see them every day. Someone has to read each one, interpret it, and turn it into clean, structured data your systems can actually use. That’s where a huge amount of time and energy disappears. Across healthcare, it’s estimated that 15–30% of all medical spending in the U.S. goes to administrative costs, much of it tied to billing and insurance-related tasks. Surveys show more than a third of healthcare professionals feel they spend more time on admin work than with patients, and over half of organizations now say reducing that burden is the single biggest opportunity for AI. When I sat with teams and watched them bounce between PMS, clearinghouse, and payer portals, it was obvious this wasn’t sustainable. That’s the problem we decided to go after.

This is where accelerated computing and modern multimodal AI start to matter in a very practical way. Multimodal AI can read and understand documents, text, and images together, in context. It can “look at” a scanned EOB or portal screenshot, understand what it’s seeing, and help systems act on that information at machine speed instead of human speed. At Elite Dental Force, we apply that capability directly to dental revenue operations: eligibility, benefits, claims, documentation, and the messy steps in between. The goal isn’t to replace your team. The goal is to give your software enough context and horsepower that it can handle the repetitive, rules-based work across fragmented systems, so your people can focus on the exceptions, conversations, and decisions that actually need a human. It’s no accident that a majority of healthcare AI investment is already flowing into administrative and revenue-cycle use cases just like these.

There’s a piece of this that doesn’t get talked about enough: every AI task burns compute. In a tight-margin industry like dentistry, “just add more AI” can turn into tools that are expensive to run, unpredictable in performance, or so noisy that nobody trusts them. Speed by itself is not a strategy. If it’s not grounded, it can just produce faster mistakes, faster denials, and faster headaches. I’ve seen groups move from one tool to another, thinking the new thing will fix everything, only to discover they’ve just automated the chaos.

That’s why Elite Dental Force is built on the idea of disciplined compute. Disciplined compute means using accelerated computing inside guardrails payer-verified logic, CDT structure, clear rules about how data is interpreted, and boundaries around what the system should and shouldn’t do. When you combine that discipline with real understanding of how PMS, clearinghouse, and payer systems behave in the wild, compute stops being a line item on a cloud bill and starts acting like a real business asset. That’s the foundation of what we’re building, and it’s the part I care the most about getting right.

For practices and DSOs, this isn’t just theory; it shows up in daily life. It determines how much manual work your team has to carry. The more your infrastructure can understand and move data across systems, the less your staff has to act as the glue. It affects revenue health. Clean claims, fewer denials, and faster collections increasingly depend on how well your systems can interpret payer rules and documentation in real time across multiple platforms. And it sets your ability to scale. If every new location means hiring more people just to move data between your PMS, clearinghouse, and portals, you hit a ceiling. If your infrastructure uses accelerated, disciplined compute to handle that complexity, you can grow without multiplying administrative overhead at the same pace.

Elite Dental Force is intentionally early in this space. We want the industry to know that accelerated, disciplined computing in dentistry isn’t a marketing line for us it’s what the company was built around from the beginning. The concepts and framing you see here reflect lived experience at the intersection of dental operations, payer rules, and advanced compute. We’re not trying to “own” the idea and keep it secret. We’re trying to prove what’s possible and set a standard the industry can measure against.

If you’re reading this and thinking, “This is exactly what my team is fighting every day,” you’re who I wrote this for. Dentistry doesn’t need more dashboards for the sake of dashboards. It needs better plumbing. That’s the work we’ve signed up for at Elite Dental Force so your systems can quietly do their job, your team can finally breathe a bit, and your organization is ready for whatever comes next.