Pretty Good AI

Voice‑first clinic intelligence for leading EHRs. 24/7 call automation + real‑time updates. 50%+ call containment in ~30 days. HIPAA & SOC 2.

[Pretty Good AI @prettygoodai]

We are hosting a Webinar.

- Athena Health Thrive recap
- How to pick an AI vendor

AI Everywhere. Start Here: Scheduling, Documentation & Back Office👇

[Pretty Good AI @prettygoodai]

@athenahealth Happy birthday 🎉

[Pretty Good AI @prettygoodai]

AMA dropped fresh prior auth data yesterday:

40 PAs per physician per week.
13 hours of staff time.
26% of physicians report that a PA delay caused a serious adverse event.

The admin layer of medicine is no longer just expensive.

It's becoming a patient safety issue.

[Pretty Good AI @prettygoodai]

35 to 40 percent of medical practice calls go unanswered during peak hours.

That's not a staffing problem.

That's a math problem.

You can't hire your way out of three patients dialing at 10:02 AM.

[Pretty Good AI @prettygoodai]

@heyblake Hey

[Pretty Good AI @prettygoodai]

95% of medical practices say admin burden has increased over 3 years.

77% link it directly to physician burnout.

Top culprit: prior auth, claim denials, and the calls your staff fields about them every day.

A systems problem. Not a staffing problem.

[Pretty Good AI @prettygoodai]

A multi-location pain management network went live with PGA voice agents last week.

Feedback after their busiest days on record:

100% SLA maintained. Fewer escalations than any previous period.

The system didn't just handle the volume. It handled it right.

[Pretty Good AI @prettygoodai]

35-40% of medical practice calls go unanswered during peak hours.

85% of those patients won't call back.

That's not a hold time problem. That's a patient retention problem.

AI voice agents built for ambulatory care are closing this gap today.

[Pretty Good AI @prettygoodai]

97% of medical practices are experiencing care delays from prior authorization.

Traditional Medicare added PA requirements in 2026 for the first time.

Your front desk staffing didn't change. The call volume did.

[Pretty Good AI @prettygoodai]

Most people assume AI voice agents only answer inbound calls.

We also make them.

One of our Athena practices ran an outbound campaign this week: 1,100 calls made, 370 appointments scheduled.

370 patients who needed care and were not going to call on their own.

[Pretty Good AI @prettygoodai]

A multi-location pain management practice was answering calls at 50-something percent on their busiest days.

Several weeks after going live with PGA voice AI:
94% SLA
13-second average answer time
Continuous AI operation approved

Same staff. Same phones. Different outcome.

[Pretty Good AI @prettygoodai]

Clinics don’t measure how many calls they never answer.

They measure what they complete.

But the real story is in what gets dropped.

That’s where access breaks.

[Pretty Good AI @prettygoodai]

The hardest part of operations isn’t volume.

It’s variability.

Peaks, gaps, no-shows, cancellations.

Most systems aren’t built to adapt in real time.

[Pretty Good AI @prettygoodai]

A lot of staffing “shortages” are actually timing problems.

Monday morning is overloaded.

Thursday afternoon is quiet.

But traditional staffing models don’t flex with demand.

[Pretty Good AI @prettygoodai]

I hope you've found this thread helpful.

Follow me @prettygoodai for more.

Like/Repost the quote below if you can:

[Pretty Good AI @prettygoodai]

Most clinics think they have a staffing problem. In reality, they have a workflow problem.

In healthcare, almost all demand enters through one channel: the phone. Calls drive scheduling, referrals, patient questions, follow-ups, and more. But every request shows up the same way: real-time, interrupt-driven, and unstructured.

That creates a system where nothing can be batched or prioritized properly. Everything feels urgent, even when it’s not.

So staff spend their entire day reacting. Answering calls, looking things up, creating tasks, routing work, and then repeating that cycle dozens or hundreds of times. Most of this work isn’t complex. It’s just fragmented across systems and processes that don’t connect cleanly.

One of the biggest issues is what happens after the call. The conversation might take a few minutes, but the follow-up work often takes just as long. Documentation, routing, and task creation quietly consume a large portion of the day.

Then you layer in after-hours gaps, missed calls, and voicemails. Patients call back. The same issue gets handled multiple times. Volume increases without actually improving access or outcomes.

This is why teams feel overwhelmed. Not because demand is too high, but because the system handling that demand is inefficient.

When you fix how work enters the system, everything downstream improves. Calls get resolved instead of just answered. Work becomes structured instead of reactive. Staff focuses on the exceptions that require judgment, not the repetitive tasks that don’t.

That’s where real capacity comes from.

Not from hiring more people, but from removing the work that never needed them in the first place.

If you want to understand where your operations are breaking, don’t start with dashboards. Start with the front door.

--

Pretty Good AI answers every call, books appointments, qualifies leads, and handles patients instantly.

Try Pretty Good AI live

No signup.

See how it works in 15 seconds.

https://t.co/UJwAQueYgl

[Pretty Good AI @prettygoodai]

Most clinics think they have a staffing problem. In reality, they have a workflow problem.

In healthcare, almost all demand enters through one channel: the phone. Calls drive scheduling, referrals, patient questions, follow-ups, and more. But every request shows up the same way: real-time, interrupt-driven, and unstructured.

That creates a system where nothing can be batched or prioritized properly. Everything feels urgent, even when it’s not.

So staff spend their entire day reacting. Answering calls, looking things up, creating tasks, routing work, and then repeating that cycle dozens or hundreds of times. Most of this work isn’t complex. It’s just fragmented across systems and processes that don’t connect cleanly.

One of the biggest issues is what happens after the call. The conversation might take a few minutes, but the follow-up work often takes just as long. Documentation, routing, and task creation quietly consume a large portion of the day.

Then you layer in after-hours gaps, missed calls, and voicemails. Patients call back. The same issue gets handled multiple times. Volume increases without actually improving access or outcomes.

This is why teams feel overwhelmed. Not because demand is too high, but because the system handling that demand is inefficient.

When you fix how work enters the system, everything downstream improves. Calls get resolved instead of just answered. Work becomes structured instead of reactive. Staff focuses on the exceptions that require judgment, not the repetitive tasks that don’t.

That’s where real capacity comes from.

Not from hiring more people, but from removing the work that never needed them in the first place.

If you want to understand where your operations are breaking, don’t start with dashboards. Start with the front door.

--

Pretty Good AI answers every call, books appointments, qualifies leads, and handles patients instantly.

Try Pretty Good AI live

No signup.

See how it works in 15 seconds.

https://t.co/UJwAQueYgl

[Pretty Good AI @prettygoodai]

When a patient cancels on a weekend, that slot usually stays empty.

Not because demand isn’t there.

But because no one is there to refill it.

That’s lost access hiding in plain sight.

[Pretty Good AI @prettygoodai]

Athena Health just announced native AI scheduling inside athenaOne.

That validates the entire premise.

It also clarifies something: generic AI handles generic calls.

The complex ones - prior auth triage, after-hours clinical routing, urgent same-day requests - still need purpose-built healthcare voice AI.

That's where we live.

[Pretty Good AI @prettygoodai]

91% of healthcare orgs have adopted AI.

72% still report patient access failures.

AI is everywhere in healthcare

Except on the phones, where patients actually try to get in.

[Pretty Good AI @prettygoodai]

A specialty practice went live on our platform last week.

Day 1 results:

• 1,329 patient calls handled by AI
• 9 needed human escalation
• 99.3% containment rate

Native athenaOne integration. No disruption to existing workflows.

[Pretty Good AI @prettygoodai]

A large multi-location practice was handling 50K calls/month with 28 staff.

After deploying AI voice agents: 110K calls/month. 10 staff.

More capacity.

Less overhead.

Better patient access.