You've bought software before. You know the drill: Does it have the feature? Does it integrate with your existing systems? What's the price?

Eddie Czech's argument is that this instinct is about to cost you if you turn it toward AI. These tools are foundationally different from the software you're used to, and most people evaluating it aren’t making the distinction. 

All it takes is a simple mindset shift. Eddie offers four key areas to focus on to shift your perspective.

The mistake most practice owners make is evaluating AI the way they'd evaluate software — running down a features checklist. But AI isn't built like software, and it can't be judged like it. 

The first thing to understand is that traditional software is often deterministic, but AI is probabilistic — providing a spectrum of outcomes. That means "working" stops being a feature that passes a spec and becomes a range of behavior you have to evaluate. Get that, and the rest follows.

You can't fully judge AI from a demo, so the people who built it are your best read on quality. You're really choosing a partner you'll depend on long after signing. Look for regulated-industry experience and builders who've shipped this kind of product before.

This is where AI departs most from software — you can't just run it once and ship it. A serious vendor pressure-tests it across a huge range of scenarios. A vendor who can't walk you through their evaluations can't show you how the system holds up in the hard cases.

"Do you have a CRM?" is a software question. "Do you do referral management?" is an AI question — and behind it sits a chain of agents reading the fax, texting the patient, booking the visit, running intake. Buy a feature that fixes one step of a five-step process, and you'll wonder why nothing has changed.

The instinct is to ask whether the AI is 100% accurate — but your front desk isn't either. The more useful measure is your staff: faster, cheaper, and at least as good, for the risk level of the task. Clear that bar and you free your best people for the work that grows the practice

A breakdown of what in the name of AI you should actually be paying attention to: AI-native healthcare and the human-agent workforce

“AI-native healthcare” may sound impressive, but the key takeaway is clear: AI works best with clean, connected, and usable data. Winning companies won’t just add agents to chaotic systems. They’ll redesign workflows so humans and AI can collaborate safely and effectively.

Verdict: ✅ Worth paying attention to

Most independent practices underestimate how much revenue slips through the cracks each week.

Missed calls during peak hours. Patients who hang up after being placed on hold. Referrals that never make it into the schedule.

These small breakdowns add up quickly.

We built a simple tool to help you understand what this might be costing your practice.

The Revenue Leakage Calculator takes your practice size, average patient value, and call volume, then estimates how much revenue may be lost due to front desk inefficiencies.

It takes about two minutes. No email required. Just practical data you can use to decide whether it's worth tightening up your front desk workflows.

Thanks for joining us for another edition of Practice Independence — we’ll see you next week!

PS: We bring together independent practice owners for off-the-record conversations about what's actually working. Small rooms. Real talk. Reply to this email if you’re interested in attending or hosting a dinner near you.

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