Healthcare
Give clinicians back their time and payers back their margin with agentic AI that automates documentation, prior authorization, and patient access — safely and within HIPAA.
Healthcare organizations lose clinical hours to charting and lose revenue to denied claims and administrative drag. We build HIPAA-aligned AI systems that draft clinical notes, run prior-authorization end to end, triage patient messages, and surface the right evidence at the point of care. Every workflow keeps a clinician in control and produces an auditable record for compliance and payer disputes.
Problems we solve
The operational bottlenecks that hold enterprises back — and where AI delivers measurable impact.
Clinician burnout from documentation load
Physicians spend up to two hours on the EHR for every hour of patient care. Charting after clinic — pyjama time — drives burnout, attrition, and shorter visits.
Prior authorization is a revenue and access bottleneck
Manual prior-auth takes days, requires staff to re-key clinical data into payer portals, and delays care while denials and appeals erode margin.
Patient messages and calls overwhelm staff
Portal messages, refill requests, and triage calls have exploded since telehealth, but front-office and nursing staff have not, creating dangerous response backlogs.
Revenue leaks through coding and claim denials
Under-coding, missed charges, and avoidable denials cost health systems millions, and appeals consume staff who could be doing higher-value work.
What we build
Production-grade capabilities, engineered for enterprise scale, security, and reliability.
Ambient clinical documentation
An AI scribe listens to the visit and drafts structured notes, orders, and coding suggestions into the EHR for the clinician to review and sign — cutting charting time dramatically.
Prior-authorization automation
Agents assemble the clinical justification, match payer policy, submit through payer portals or APIs, and track status, escalating only the edge cases to staff.
Patient triage and messaging agents
A triage agent drafts responses to portal messages, routes urgent symptoms to a nurse, and handles refills and scheduling within clinical guardrails and human review.
Coding and denial-management support
The system suggests accurate codes from the documentation, flags likely denials before submission, and drafts appeal letters grounded in the medical record.
Clinical knowledge retrieval
A permission-aware RAG layer lets clinicians query guidelines, formularies, and internal protocols and get sourced, current answers instead of searching manually.
PHI-safe deployment
Systems run inside your HIPAA boundary with de-identification, access controls, BAAs, and full audit logging so PHI never leaves governed infrastructure.
Why it matters
- 2+ clinician hours returned per day
- Prior-auth turnaround cut from days to hours
- Faster, safer patient message response
- Fewer denials and stronger clean-claim rates
- Complete audit trail for HIPAA and payer disputes
- Staff redeployed from re-keying to patient care
Implementation roadmap
Discovery & compliance scoping
We map target workflows, sign a BAA, define the PHI boundary and access model, and agree accuracy and clinician-oversight standards with your compliance and clinical leaders.
Pilot in one service line
We integrate with your EHR (Epic, Cerner, or Meditech) via HL7/FHIR, deploy to a single specialty with clinician review on every output, and calibrate against real cases.
Production rollout
We harden integrations, wire audit logging to compliance, and extend across service lines under SLA once accuracy and safety thresholds are proven.
Scale across the system
We expand to additional facilities and workflows — revenue cycle, patient access, care management — and hand over monitoring so your teams operate the fleet.
Common questions
Yes. We sign a Business Associate Agreement, run all PHI processing inside your governed boundary, enforce role-based access and encryption, and log every access event. No PHI is used to train models.
No. Every clinical output — notes, coding, triage — is drafted for a licensed clinician to review, edit, and sign. The AI accelerates the work and keeps accountability with the clinician.
We integrate with major EHRs including Epic, Cerner/Oracle Health, and Meditech through HL7, FHIR, and their app frameworks, writing back into your existing charting and orders workflow rather than replacing it.
We validate against your real encounters before go-live and hold the system to an agreed accuracy bar with continuous monitoring. Clinician review at signing is the final safety net, and coding suggestions are flagged with confidence.
A single-service-line pilot typically shows measurable time savings within the first weeks of use, with production rollout across service lines over roughly three to four months.