In March 2025, we had a call with a practice owner in Oregon. He ran two locations, about 2,800 active patients across both. Smart guy, had clearly done his research, asked good questions about integrations and pricing.
At the end of the call, he said he needed to think about it. That usually means no, and it was no.
We followed up in July. His office manager replied: "We're not ready for this yet, but keep in touch."
In November, he called us directly and asked if we could start the following week.
Nothing unusual happened in between. No crisis, no competitor threatening to overtake him, no staff change that forced his hand. He just got there. And when we asked him what changed, his answer was interesting enough that we're still thinking about it.
That's what he said on the onboarding call.
He'd been watching the space for about a year. Reading about what other practices were trying, waiting to see who had real results before he committed. He wasn't an early adopter by temperament — he wanted to see the proof before he moved.
What changed wasn't that the proof arrived. It was that he realized waiting for certainty was a decision in itself. Every month he didn't have the AI receptionist was a month of calls going unanswered. He could calculate roughly what that cost him — not precisely, but roughly — and when he did the math honestly, the risk of waiting looked bigger than the risk of trying.
"I was treating it like a big capital decision," he told us. "Waiting until I was sure. But it's not a $100,000 piece of equipment. It's software. If it doesn't work, I cancel."
He went live in December on just the receptionist feature at the larger location.
First week: a few calls where the AI didn't have the answer and had to route to voicemail. Expected. The team reviewed the calls, identified the gaps, and we updated the knowledge base to cover the common questions the AI was missing.
By week three: the practice manager stopped monitoring every call and started checking the daily summary instead. The AI was handling the routine volume correctly.
By week eight: he activated the second location.
The outcome after 90 days: 34% of inbound calls were being handled entirely by the AI, including booking and confirmation, with no human intervention. The team's morning callback queue — which had been running 8–12 items — dropped to 2–3 per day.
His own summary: "I wish I'd started in March."
His story is pretty common. Not the timeline — that was slower than average — but the structure of it.
A period of awareness where the practice knows AI exists and is loosely tracking the space. A period of evaluation where they take calls, read things, ask around. A decision point, often triggered less by new information than by accumulated discomfort with not moving. A start that's smaller than expected. Growth from there.
What's changed over the past year is that the "awareness" period has compressed. Dentists in 2026 don't need to be introduced to the idea of AI anymore — they're already in the evaluation phase. The question isn't "should we look at this" but "is Marea the one we should try."
The practices that are still in the "wait and see" mode are waiting for a proof point that's already arrived. The practices that are moving are finding that the reality of using AI is less complicated than they expected, and the results show up faster than they thought.
We're not trying to rush anyone. These decisions are yours to make on your timeline.
But the practices we talk to who took the longest to start almost always say the same thing afterward: they wish they'd started sooner. Not because the AI was life-changing in week one, but because the compounding effect of six months of answered calls and caught appointments is only visible in hindsight.
The math is there. The technology works. The risk of trying and canceling is low. The risk of waiting six more months is real.
That's the case. Make of it what you will.
Takes minutes to set up. Nothing to install. Your existing PMS stays exactly where it is.