Healthcare automation designed by someone formally trained in clinical sciences, I-O Psychology, and the strictest tier of healthcare data protection. Highest academic honors. Peer-reviewed research. Published a 219-page Texas state-funded health assessment under HHSC oversight. Bilingual by default. Built in the RGV.
Manual intake forms. Insurance verification on hold. Treatment plans that get presented and never followed up. The math: every untracked treatment plan that walks out the door is revenue you'll never see.
A patient calls at 8pm with a cracked tooth. Voicemail. Three minutes later they're Googling the next office. By 9pm they're someone else's patient. Every emergency you miss is $300–$2,000+ of revenue lost — and a referral relationship that didn't form.
Happy patients quietly leave. Frustrated patients post publicly. No system catches the difference. Practices with structured review systems consistently outpace competitors with similar care quality — because online perception drives new patient choice.
Most “AI for healthcare” pitches use vendors that legally cannot touch patient data. Generic ChatGPT integrations. WhatsApp business accounts. Tools that route patient data through third parties without Business Associate Agreements (BAAs). It's everywhere — and most practice owners don't know to ask.
Every system we build for a healthcare client flows through BAA-signed infrastructure from day one. Not because we read a checklist — because we know what it means when you don't.
Twilio BAA-signed
SMS, voice, MMS for patient communication.
AWS BAA-signed
Bedrock AI, S3, RDS, Transcribe for compute and storage.
Microsoft 365 / Google Workspace BAA-eligible plans
Office workflows on enterprise tiers that include a BAA.
Self-hosted infrastructure Your account, your control
Where the data sits matters. We default to your tenancy.
WhatsApp Business
Meta won't sign a BAA. Period.
Vanilla ChatGPT / Claude APIs
Require Enterprise tier with executed BAA before they touch PHI.
Most consumer-grade automation tools
Zapier free tiers, IFTTT, off-the-shelf chatbots — no BAA available.
Tools that route patient data through unverified third parties
Free email-to-text, screen-share apps, photo-sharing apps for x-rays.
Generic AI consultants can't write this table. They don't know what they don't know.
Most “HIPAA-aware” AI consultants learned compliance from a vendor's marketing page. We learned it three ways: as an academic discipline (pre-medical biology coursework, Addiction & Rehabilitation Studies — a field operating under federal protections stricter than HIPAA itself), as an operational responsibility (publishing population health data under direct Texas HHSC oversight), and as architectural design (every system we build today, with BAA-signed infrastructure as the only option). Three layers, one standard.
Three featured services. More available — every system designed for the way your front desk actually works.
Post-visit messaging that detects sentiment automatically. Happy patients get routed to your Google Business Profile. Frustrated patients get routed to private feedback — so they vent to you, not online. Bilingual from day one.
Protects existing rating. Compounds over time. Already running for our first dental client.
Patient calls at 8pm with a cracked tooth. AI triages urgency, sends emergency alert to the on-call clinician's phone, books non-urgent for next morning. Bilingual. HIPAA-aware end to end.
Captures an estimated $300–$2,000+ per emergency case currently going to competitors.
30–50% of presented treatment plans never get scheduled. We systematically follow up — bilingual SMS, calibrated cadence, sentiment-aware copy — so revenue doesn't walk out the door.
Even a 5–10% lift in case acceptance is $20–50K/yr for a typical RGV practice.
Also available
Pre-medical-track curriculum spanning anatomy, physiology, biochemistry, microbiology, and human systems. Graduating with the highest academic distinction. The clinical workflows we automate are workflows we studied the science behind.
Doctoral-level training in organizational behavior, change adoption, training transfer, and human factors. Most healthcare automation fails because staff doesn't adopt it — not because the tech is broken. We design for how your team actually works, not how a software vendor imagines they do.
Published a 219-page population health assessment for Texas HHSC's Prevention Resource Center 11, covering substance use, mental health, and demographic data across 19 South Texas counties. Compliance with the strictest tier of US health data wasn't theoretical. It was the job.
2023 Regional Needs Assessment available at prc11.org/data.
Published research in cognitive psychology and Industrial-Organizational Psychology — the sciences of how individuals process information and how teams behave inside organizations. The methodological discipline academic journals demand is the same discipline we bring to healthcare automation: hypothesis-driven design, evidence-based methods, measurable outcomes. Healthcare deserves nothing less.
Most AI consultants pitching healthcare have none of this. They learn HIPAA from blog posts. We learned the underlying science — clinical, behavioral, regulatory — over a decade.
Bilingual isn't an upgrade — it's the default. Your Spanish-speaking patients deserve the same patient experience as your English-speaking ones. We design every patient-facing system bilingual from day one: language detection automatic, cultural calibration native, no extra cost, no afterthought translation.
Built in the RGV, for the RGV. Same time zone. In-person discovery. Founder lives 20 minutes from your practice. We understand the economics of an RGV practice because we understand the RGV — not just the language but the rhythms, the cultural context, the family dynamics that show up in every patient interaction.
We map your highest-leverage automation opportunity. Practice-specific, ROI-anchored. No commitment. No sales pressure.
Fixed scope, fixed price, clear timeline. You review and approve before any work starts. Most practices start with one or two systems, not all of them.
Typical timeline: 3–6 weeks per system. We don't disappear after deployment — we stay until your staff has actually adopted what we built. That's how I-O Psychology research changes outcomes: training transfer is the bottleneck, not technology.
We're currently building out our first dedicated healthcare engagement with a leading RGV practice. Case study coming after the deployment is fully operational. Hint: there's a partnership with a leading AI company that informs our work — we'll have more to share publicly soon.
Most healthcare practices don't realize how many of the tools they already use put patient data at risk. WhatsApp for staff communication. Free email-to-text services. AI assistants without Business Associate Agreements. Photo-sharing apps for x-rays.
We'll audit your current automation, communication, and data-handling tools, flag what puts you at compliance risk, and give you a written report. Free. No commitment. Roughly 30–45 min of your time.
This isn't a sales gimmick. It's a service we can provide quickly because we've spent years thinking about exactly this problem in regulated contexts.
RGV-built. HIPAA-aware. Designed for the way your practice actually works.