Reduce administrative burden across patient operations, member services, and internal knowledge workflows. Our AI layer works with existing systems — no rip-and-replace required.
Healthcare administrative operations run on manual processes that don't scale. Prior auth requests pile up in queues. Member service reps search through PDFs of plan documents while callers wait. Referral faxes sit unprocessed. And every manual handoff introduces delays, errors, and compliance risk.
Manual review queues create multi-day turnaround times. Clinical reviewers spend hours assembling documents before they can make determinations.
Member service reps search through PDFs of plan documents while callers wait. Policy changes go unnoticed. Answers vary by rep experience.
Staff manually pull denial letters, medical records, and clinical guidelines from multiple systems. Timeline tracking and compliance documentation are inconsistent.
From prior authorization routing to member services knowledge search, our managed AI layer reduces administrative burden and improves consistency across healthcare operations.
Parse prior auth requests automatically. Route to the right reviewer with clinical criteria checked and documentation attached.
Natural-language search across policy manuals, benefit summaries, and procedure guidelines. Answers in seconds, not minutes.
Prepare administrative summaries for human review. Organize documents for payer/provider operations — reviewer retains final determination.
Parse incoming referrals, check eligibility, and route to the appropriate specialist queue with full patient history attached.
Healthcare payers, providers, and TPAs use our AI layer to reduce administrative burden and improve operational throughput.
Incoming prior auth requests parsed, clinical criteria checked against plan rules, and routed to the right reviewer — with all supporting docs attached.
Member services reps query plan documents, coverage determinations, and clinical guidelines with natural language. Answers in seconds.
Prepare administrative summaries for human review. Support prior authorization, referral routing, claims/revenue-cycle work queues, member-service knowledge search, appeal package assembly, and administrative document review.
Incoming referral faxes and portal submissions parsed, eligibility verified, and routed to the appropriate specialist queue with full patient context.
Pull denial letters, medical records, and clinical guidelines automatically to assemble complete appeal packages for clinical review.
Healthcare administrative AI requires governance controls that keep clinical and administrative reviewers in command of every determination. Our managed AI layer never makes autonomous care or coverage decisions.
AI assembles documents, checks criteria, and prepares recommendations — but every prior auth, appeal, and coverage determination stays with a human reviewer.
Every document retrieved, every criteria check performed, and every routing decision is logged with timestamp, actor, and rationale. Compliance-ready records are built in.
Clinical reviewers, administrative staff, and member service reps see only what their role permits. PHI and sensitive data access is governed by role-specific controls.
When AI confidence is below threshold or edge cases are detected, items automatically route to senior reviewers with full context and evidence trail.
Healthcare AI deployment requires careful sequencing. Start with administrative support workflows that augment reviewers — not clinical decision-making.
Let AI pull clinical documentation, plan policies, and patient history into organized review packages. Reviewers spend time on determinations, not document gathering.
Natural-language search across plan documents, coverage policies, and benefit summaries. Reps get answers in seconds with cited sources — no PDF hunting.
Parse incoming referrals, verify eligibility, check against specialist availability, and route to the right queue with full context. Reduce intake processing from days to hours.
Never automate the final determination. AI should prepare, organize, and recommend — but clinical reviewers must make every coverage and necessity decision. This is a regulatory and ethical requirement.
If the clinical review process isn't clearly documented with written criteria, automate document assembly first. Codify the review criteria before adding automation to the determination step.
Start with internal administrative workflows before considering any patient-facing AI. Build governance competency and confidence with reviewer-support use cases first.
Request an AI use-case review to evaluate your prior auth, member services, or healthcare administrative workflow against our managed AI delivery model.
Use-case review typically runs 2–3 weeks. No broad rollout required to get started.
