AI Insurance Business Technology

The End of the Insurance Phone Call

Dr Ali Vatan Ali Vatan
·

AI is slashing insurance verification time by up to 90%. For practices drowning in admin, this might be the most practical AI application in dentistry.

The End of the Insurance Phone Call

Insurance admin isn’t a personal pain point for me. My practice doesn’t deal with it the way a large NHS or insurance-heavy practice in the States would. But I can’t ignore what’s happening here, because this might be the most impactful AI application in dentistry right now, and nobody’s writing glamorous headlines about it.

No TED talks about pre-authorisation workflows. No breathless media coverage. But for the thousands of practices spending twenty-plus hours a week on hold with insurance companies, chasing claim statuses, and manually entering benefit breakdowns, AI is quietly solving a problem that’s been bleeding the profession dry for decades.

The scale of the problem

If you’ve worked in or managed a practice that deals heavily with insurance, you know the drill. Before treating a patient, someone on your team verifies coverage: what’s included, what’s excluded, the percentage covered, the annual maximum, how much has already been used. That single task can take fifteen to twenty minutes per patient when done manually. Across a full day’s list, that’s a full-time role that exists purely to navigate bureaucracy.

Then there’s claims. Submitting, chasing rejections, re-submitting with extra documentation, appealing denials. McKinsey’s research shows AI-driven claims management can increase processing efficiency by over 30 per cent and substantially reduce the errors that cause rejections (McKinsey, 2024). That’s not marginal; it’s transformational for a busy practice.

Real tools doing real work

Two platforms are worth knowing about.

Pearl ClaimCheck launched in early 2025 as an AI-powered clean claims assistant. It integrates into practice management software, automatically validates claim submissions, flags potential errors before they’re sent, and attaches AI-enriched radiographic evidence to support the claim. The goal: get it right the first time so you’re not chasing rejections for weeks (Pearl, 2025).

DentalRobot automates the verification side. Their platform extracts and normalises data from over 300 payer portals and interactive voice response systems. Their Voice AI handles entire insurance phone calls and feeds data back into your practice management system automatically. They claim to automate up to 93 per cent of repetitive insurance tasks (DentalRobot, 2024).

These aren’t theoretical products. They’re live, they’re being used, and practices report weekly insurance verification time dropping from 20+ hours down to around 5, a 75 to 90 per cent reduction.

What you do with the freed time matters

If a practice saves fifteen hours a week on insurance admin, that’s fifteen hours that could go towards:

  • More patient consultations and treatment time
  • Building the relationships that keep patients coming back
  • Training staff and improving systems
  • Growing the practice

The boring, unglamorous tools that quietly remove the things draining your team’s energy, those are the AI applications I find most exciting. The practices that adopt them early won’t just be more efficient. They’ll be better places to work, and better places to be a patient.

The ROI is quick

Most platforms report a positive ROI within three to six months. When you factor in reduced claim denials, faster payment cycles, fewer staff hours on admin, and the revenue from seeing more patients in the freed-up time, the numbers work out clearly.

McKinsey’s broader research on AI in healthcare operations suggests practices using AI for basic claims workflows can see a 20 to 30 per cent drop in processing costs and improved cash flow by around 15 per cent (McKinsey, 2024). For a practice doing significant insurance volume, that’s material.

AI doesn’t replace skilled admin staff

I want to be clear: these tools don’t eliminate the need for knowledgeable admin people. You still need staff who understand insurance processes, handle exceptions and edge cases, and advocate for patients when a claim is unfairly denied.

What AI does is handle the repetitive, predictable, high-volume work that currently consumes most of your team’s time. It lets your skilled staff focus on the cases that genuinely need human judgement.

The least exciting, most useful AI in dentistry

If the time saved goes where it should, towards more patient interaction, better clinical care, and a less stressed team, then this is the most meaningful AI application in dentistry today. Not because it’s impressive, but because it’s useful.

References