HIPAA-aware AI for the administrative half of healthcare. Not the clinical half.

What’s broken without AI in healthcare operations

• Phones are still the bottleneck. Scheduling, reschedules, no-show recovery, refill requests, referral coordination — high-volume, structured, and absorbing a huge share of front-office time. Patients hang up; revenue leaks.
• Prior authorisation is a multi-day human relay. Payer portals, faxes, phone holds, document re-uploads. The clinical work was decided in minutes; the auth work takes days. Care gets delayed, denials compound, AR ages.
• Claims denials get reworked, not prevented. Denial reason codes go to billing; billing re-files; the same denial pattern repeats on the next claim with the same payer for the same CPT code. The feedback loop to intake and documentation is broken.
• Patient intake and registration is duplicated effort. Forms on paper, forms on a tablet, forms again at the front desk, forms scanned to the EHR. Insurance verification fails late; eligibility surprises hit at point of service.
• Outbound patient communication is one-channel and reactive. Reminders go through one system, recall through another, post-visit through a third, and most patients fall through the gaps. Outreach to gap-in-care patients is the work nobody has time for.

What we build for healthcare operations teams

Scheduling, reschedule, and no-show recovery automation

Voice and SMS workflows on Twilio that handle the routine call patterns: confirm, reschedule, fill cancellations from a waitlist, recover no-shows. Integrated to the practice management or EHR scheduling layer so changes write back natively. The patient never waits on hold for a reschedule.

Prior authorisation workflow assist

Extraction from clinical notes (which we read but do not interpret clinically) of the data points the payer is asking for. Pre-fill of payer portals where APIs allow. Status polling and follow-up automation. Denials triaged into “missing data”, “needs peer-to-peer”, or “policy exception” with a recommended next action. The human still decides; the human is no longer doing the relay work.

Denials intelligence with feedback to intake and documentation

Every denial reason code is clustered by payer, CPT, provider, and intake worker. Patterns surface weekly: which front-desk shifts produce the most insurance-verification denials, which CPT-payer combinations always come back, which providers have documentation patterns that correlate with denials. The fix moves upstream where it belongs.

Intake, eligibility, and pre-registration

Self-service intake flows that adapt to the visit type. Real-time eligibility check against the clearinghouse. Pre-registration outreach that pulls forward the work that used to happen in the waiting room. Patient identification deduplication. Integrated to the practice management system, not a parallel platform.

Patient communication and gap-in-care outreach

Multi-channel (SMS, email, voice) outreach for appointment reminders, recall, post-visit follow-up, satisfaction surveys, and gap-in-care identification. Patient preferences honoured. Spanish, English, and other languages as needed. Communication content reviewed and approved by the practice; the AI handles delivery and response, not clinical content.

The stacks we plug into

EHR / PM: Epic, Athenahealth, eClinicalWorks, NextGen, DrChrono, Practice Fusion, Kareo / Tebra, Allscripts, AdvancedMD. RCM and clearinghouse: Availity, Change Healthcare, Waystar, Trizetto. CRM and engagement: Salesforce Health Cloud, HubSpot, Solutionreach, Phreesia, Klara. Communications: Twilio, Bandwidth, Talkdesk. Document and fax: SRFax, eFax, DocuSign.

HIPAA, PHI, and where we explicitly stop

HIPAA posture is the design constraint, not an afterthought. We sign BAAs as standard. Deployments run inside your covered-entity or business-associate cloud account. Vendor model access is via HIPAA-eligible, no-retention endpoints (or open-source models in your own infrastructure). Minimum-necessary PHI is enforced at the API boundary; PHI is masked or tokenised wherever it isn’t strictly required.

We do not build clinical decision support, diagnostic AI, treatment recommendation, autonomous triage of clinical risk, or anything that would constitute a medical device under FDA or MDR. The line is bright and we hold it. The administrative, operational, financial, and communication layers of healthcare are large enough — and underserved enough — to be the whole scope of this practice.

Frequently asked