AI systems that let
your practice run itself.
Custom AI for healthcare practices, dental groups, and specialty clinics — eligibility verification, prior auth automation, ambient documentation, claims management, and patient communication. Built for sensitive data environments. Full code ownership.
50%+
clearinghouse cost reduction
9→0
% claim denial rate eliminated
12 days
prior auth compressed to 4 hours
100%
source code ownership at engagement close
Operational lifecycle
Care Journey Automation
AI runs across every phase of the patient and revenue lifecycle — not just one isolated workflow.
Access & Intake
AI automates
- Eligibility verification
- Insurance benefits lookup
- Patient intake forms
Clinical Operations
AI automates
- Ambient documentation
- Chart prep & summarization
- Prior authorization requests
Revenue Cycle
AI automates
- Charge capture from notes
- Claim scrubbing & submission
- ERA reconciliation
Patient Engagement
AI automates
- Appointment reminders
- Care-plan follow-ups
- Results & next-steps delivery
The friction
Where healthcare practices bleed time and revenue
Front-desk staff time eaten by admin
Phones, walk-ins, eligibility lookups, and intake form chasing consume nearly half your staff's hours — time that should go to patients, not spreadsheets.
Claims denied for preventable reasons
Coverage checked day-of-visit means avoidable denials pile up. Each denial is 40–60 minutes of rework. Most practices never fix the upstream cause.
Prior auths blocking scheduled procedures
Procedures get scheduled before authorization is confirmed. Fax-based tracking with no SLA. Staff follow up manually every 48 hours.
Providers charting after hours
Clinical documentation after clinic hours is the leading driver of physician burnout. Notes written 4–6 hours after the encounter carry real accuracy risk.
No-show rate driven by communication gaps
Missed reminders, wrong channels, and no post-visit follow-through lead to 1-in-5 appointments unfilled. That's direct revenue walking out.
Denial rework with no root-cause fix
Manual denial processing treats symptoms, not causes. Without AI clustering recurring denial patterns, the same upstream errors keep generating the same rework.
What we deploy
Six systems. One practice that runs on AI.
Each system is production-deployed, not a demo. Built on your existing stack. Full source code ownership.
Eligibility & Benefits Verification Engine
Automated real-time eligibility checks across all payers at time of booking — not day-of-visit. Coverage details, co-pays, and authorization requirements surfaced before the patient arrives.
Prior Authorization Engine
AI-assembled prior auth packets submitted automatically from clinical notes. Status tracked continuously; follow-ups triggered without human intervention. No fax, no waiting.
Claims Submission & Reconciliation
Charge capture from clinical documentation. Claim scrubbing against payer rules before submission. ERA reconciliation and denial pattern analysis run automatically post-adjudication.
Ambient Clinical Documentation
Real-time ambient transcription during patient encounters. AI structures the conversation into SOAP-format notes. Provider reviews and signs — no post-visit charting required.
Patient Communication Engine
Automated appointment reminders, pre-visit prep instructions, post-visit follow-ups, and care-plan adherence nudges — triggered by real clinical events, not a fixed schedule.
Denial Root-Cause & Appeal System
Machine clusters recurring denial patterns by payer, code, and provider. Upstream fixes surfaced to billing staff. Appeals drafted automatically with supporting documentation.
Privacy isn't a checkbox. It's the foundation.
Every system we deploy is architected for data sensitivity from the first line of code — your patient data never touches external infrastructure.
Data stays in your EHR
We build on your existing Epic, Cerner, or athenahealth instance. Patient data never touches Acsenix infrastructure unless explicitly configured.
Built for sensitive data environments
We architect specifically for healthcare data sensitivity — patient information stays in your existing systems, never replicated to external infrastructure.
No PHI in model training
AI models are not trained on your patient data. Inference only — inputs are not retained or used downstream.
Every AI action logged and reversible
All AI-generated outputs are timestamped, auditable, and reversible. Clinical sign-off required on every AI-drafted document before it enters the patient record.
Results
Dental group eliminates 50% of clearinghouse costs across 500+ CDT codes
A multi-location dental group was submitting claims manually through a clearinghouse at $0.35/claim. Denials ran at 11%. ERA reconciliation was a full-time job. Prior auths were tracked in a shared spreadsheet.
What we built
- Automated claim scrubbing against payer-specific CDT rules before submission
- X12 837/835 cycle managed end-to-end with auto-posting ERA reconciliation
- Prior auth packet assembly from clinical notes with continuous status tracking
- Denial pattern clustering and automatic appeal drafting with supporting docs
Sarah K., Director of Revenue Cycle
Multi-Location Dental Group
Integrations
Connects to your existing clinical stack
We build on top of what you already run. Nothing gets replaced.
EHR/PM
Revenue Cycle
Communications
Standards
FAQ
Questions from compliance-first practices
Ready to start
Book a 30-minute discovery call.
We'll map your highest-leverage clinical workflows.
No pitch deck. We'll audit your current operations, identify the exact automations worth building, and give you a scope with ROI projections — before you commit to anything.
Book discovery callTypical first response within 4 business hours.