The friction between payers, your staff, and your records.
Healthcare operating margins held near 1% for most of 2025. Administration accounts for roughly 25% of total US healthcare costs, and the staff who manage billing, prior authorization, and patient access are retiring faster than organizations can replace them. There is no reliable backfill pipeline for those roles.
The highest-return AI use cases in healthcare are operational, not clinical. Prior authorization, denial management, scheduling, and eligibility verification are high-volume, rule-based processes. AI agents handle that volume without touching your clinical workflows or replacing systems your staff already use.
Patient access staff check payer portals, compile documentation, and track submission status manually. A single request can take four to six staff touchpoints to resolve.
Denial staff log into multiple payer portals, identify reason codes, and rebuild resubmission packages for each appeal. Backlogs grow faster than available staff hours allow.
Coverage changes between scheduling and intake. Verifying it requires cross-referencing payer systems that do not connect to your EHR automatically.
No-shows create gaps that schedulers fill by contacting waiting patients one at a time. Proactive outreach at volume requires staff capacity that most scheduling teams do not have.
| Good Fit | Not a Good Fit |
|---|---|
| Your revenue cycle or patient access teams handle high volumes of prior authorizations, claims, or eligibility requests daily. | You are mid-implementation of a new EHR and cannot commit staff to a parallel pilot. |
| Your billing and patient access roles are under staffing pressure and open positions are not being filled. | You expect AI to replace clinical judgment or manage patient-facing care decisions. |
| You have documented workflows and defined business rules for at least one revenue cycle process. | Your administrative processes are not yet standardized across locations or departments. |
| You are ready to pilot one process in your live environment before committing to anything further. | You need a full enterprise rollout within 60 days with no phased approach. |
Before: Patient access staff spend 12 to 16 minutes per authorization on portal submissions, documentation, and status tracking. High-volume specialties handle 40 to 80 requests per staff member per day.
After: The AI agent handles submission and monitoring for standard requests. Staff manage exceptions only, and turnaround drops from 3 to 5 days to same-day.
Before: Each denial appeal takes 20 to 40 minutes to prepare across multiple payer portals, with staff rebuilding each case from scratch.
After: The agent prepares the resubmission package for staff to approve. Resolution time drops approximately 60%.
Figures shown are representative of outcomes in comparable implementations.
Representative screens showing how AI agents surface data and present decisions to your staff. Click any card to see the full view.
Denial Management
Denial reason codes identified and resubmission packages prepared for staff approval.
Prior Authorization
Authorization requests submitted, payer portals monitored, and exceptions escalated for staff review.
Voice AI Scheduling
Cancellation slots filled by contacting waitlist patients automatically without staff initiating each outreach.
We work with your revenue cycle and patient access leads to select one high-volume process, confirm EHR and payer portal connections, address HIPAA requirements, and agree on measurable success criteria before any build begins.
One process, one agent, your live environment and actual data. Typical pilots cover prior authorization, denial management, or eligibility verification. Human review is built in at every decision point that needs it, and results are measured against your baseline.
When the pilot meets its success criteria, the same integration foundation supports additional agents and processes. You decide what comes next based on measured outcomes.
A focused pilot on one process typically goes live within 6 to 8 weeks. Prior authorization and denial management are the most common starting points.
Yes. The AI agent connects to your EHR and payer portals via API and works alongside your current systems. Nothing in your EHR changes.
Scope and complexity determine the investment for a single-process deployment. ERP AI Agent confirms a fixed price before any work begins.
ERP AI Agent addresses HIPAA requirements at the architecture level before any agent goes into production. Data handling, access controls, and audit logging are built in from the start.
Prior authorization, denial management, and eligibility verification consistently show measurable outcomes within 90 days. These processes are high-volume and rule-based, which makes them well-suited for automation.
AI agents handle high-volume repetitive tasks, allowing your current staff to focus on exceptions and complex cases. This extends team capacity without requiring additional headcount.
The agent flags exceptions for human review before submission. Human oversight is built into the workflow at every point your process requires it.
We do not sell a software platform. We build custom AI agents around the systems you already run. You pay for a working solution built on what you already have, not a new platform.
Book a thirty-minute call. We will confirm whether your situation is a fit and what the right starting point is, whether that is the AI Adoption Accelerator, a readiness assessment, or a direct pilot.