Month Three

I've been in healthcare technology long enough to know that the honeymoon period for any new platform is about 60 days. The first month is all excitement and early wins. The second month is steady. By the third month, the real work starts.

That's when the edge cases show up. A provider adjusts their availability, and suddenly the scheduling logic doesn't match. A referral coordinator notices that faxes from a new referring group aren't routing correctly. An outbound recall campaign is converting well at one location and falling flat at another, and nobody can figure out why.

These aren't technology failures. They're operational realities. Healthcare is messy, complex, and constantly shifting. The scheduling rules that worked last quarter might not work this quarter because the practice added three providers, changed insurance panels, and opened a new location.

What matters at month three isn't whether the AI platform can handle a phone call. Every serious platform can do that. What matters is whether the team behind it understands your operations deeply enough to anticipate these moments and respond to them before they cost you revenue.

This is something I feel strongly about, and it's core to how we built Parakeet Health.

The Difference Nobody Sees

There's a version of this business where you build the platform, implement it, and move on to the next deal. That's the model most of our industry follows, and honestly, it works well enough for a while. Dashboards stay green. Invoices get paid. Everyone's satisfied until they're not.

We made a different choice early on, and it wasn't a marketing decision. It was a values decision.

Our founding team didn't come from enterprise software. Jung spent 25 years running healthcare operations. He's been the CIO managing an EHR migration. He's been the COO building scheduling workflows for a multi-site specialty practice. He's been the VP scaling a primary care organization from a handful of offices to over a hundred. Tom, our Head of Client Experience, has deployed AI and healthtech at the sharp end of clinical operations across dozens of specialties.

When your team has lived inside the operational complexity of healthcare, you don't treat a post-go-liveproblem as a support ticket. You treat it as an opportunity to make the platform smarter and the client'soperations stronger.

I've seen this play out in ways that don't show up on a dashboard. A winter storm hits, and 5,000appointments cancel in a single day. Our team isn't waiting for the phone to ring. They're watching the same data the ops team is watching, confirming the AI outreach is firing correctly, and coordinating on the cases that need a human judgment call. By the next business day, thousands of patients are rebooked.

That moment didn't happen because of a feature. It happened because the people behind the platform understood what was at stake and knew exactly what to do.

Why This Is Personal

I want to be honest about something. I've spent my career selling healthcare technology, and I'verepresented products I believed in deeply. Epocrates, WebMD, Jumo Health. Each one taught me something important about what it takes to build lasting relationships in this industry. 

The lesson that stuck with me most: the organizations that earn long-term trust aren't the ones with the best product. They're the ones that show up when it's hard.

When I joined Parakeet, the thing that got my attention wasn't the AI. It was the team. These are people who have sat in the same rooms, managed the same workflows, and felt the same pressure as the operators we serve. When a client pushes back or challenges us, we don't get defensive. We lean in. We treat that feedback as a gift, because we know from experience that the hardest conversations are usually the most valuable ones.

That mindset isn't something you can bolt on after the fact. It comes from lived experience. And it shapes every interaction we have, from the first discovery call to the quarterly review 18 months into a partnership.

What I'd Want to Know

If I were an operator evaluating AI platforms right now, I'd be less interested in the demo and more interested in what happens after it.

I'd want to know who's going to be working with my team on day 31, day 60, day 90. Not the sales team.The people who are going to live inside my operations and help me get better. I'd want to know whether those people have ever actually run a healthcare practice, managed a call center, or navigated an EHR integration that didn't go according to plan.

I'd want to know what happens when something goes sideways at 7 PM on a Friday. Not the SLA. The reality.

And I'd want to know whether the vendor measures their own success by the same metrics I use to run my business. Appointments booked. Revenue recovered. Cost reduced. Slots filled. Not platform uptime. Not call handling volume. The numbers that actually show up in my P&L.

The technology in this space is getting better every quarter. The platforms are converging. The demos are all impressive. But the practices that are seeing the strongest results have something the technology alonecan't provide: a team behind the platform that genuinely understands their business and cares about their outcomes as much as they do.

That's not a feature you can buy. It's a relationship you build with people who've been where you are.