Front-End Automation

Eliminate the Manual Work That Drives Front-End Denials

Eligibility verification and prior authorization are the two highest-volume, lowest-margin tasks in front-end revenue cycle — and they’re absorbing more work every year as payer requirements expand and Medicaid redeterminations accelerate. AI automation handles the manual portal logins, documentation assembly, and status checks inside your existing EHR. No integration project. No staff turnover risk.

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300/min
Eligibility Verifications Per Minute
98%
Eligibility Verification Accuracy
70%
Reduction in PA-Driven Denials
24/7
Continuous Submission & Tracking
The Problem

Front-End Work Is Growing Faster Than Front-End Staff

Eligibility and prior authorization queues used to be a back-office chore. Now they’re a margin issue.

Payer authorization requirements have expanded steadily across commercial, Medicare Advantage, and Medicaid lines. New CMS pilot programs require prior authorization or pre-payment review on additional service categories. Medicaid redetermination cycles in many states are shortening from annual to semi-annual, effectively doubling eligibility verification volume on the same patient population. Each of these changes lands on the same front-end teams that were already running near capacity.

The work itself hasn’t changed — it’s still portal logins, documentation pulls, status checks, and follow-ups. What’s changed is the volume, the complexity, and the consequence of getting it wrong. A denial caught at scheduling costs almost nothing to fix. The same denial caught at billing costs days of A/R, appeal labor, and sometimes a write-off.

Hiring through the problem isn’t a strategy — front-end RCM roles have some of the highest turnover rates in healthcare administration, and every onboarding cycle reopens the same accuracy gap.

How It Works

Two Workflows, One Automation Layer

Eligibility verification and prior authorization share the same underlying mechanics — structured payer lookups, documentation assembly, and status tracking. Automating them together removes the work, not the oversight.

Eligibility Verification

Real-Time and Batch Coverage Checks

Verify coverage before the patient arrives, surface gaps the staff would only find at billing, and absorb redetermination-driven volume without adding FTEs.

  • 300 verifications per minute — batch and real-time
  • 98% accuracy across managed care, Medicare, and Medicaid
  • Coverage gaps flagged before patient arrival, not at the claim
  • Absorbs 6-month redetermination churn without staffing changes
  • Eliminates hours of daily payer-portal logins
Prior Authorization

Identify, Document, Submit, Track

Catch auth requirements at scheduling, assemble payer-specific documentation from the EHR, submit, and follow up — without staff in the portal.

  • Auth needs flagged at scheduling, not at billing
  • Documentation pulled and assembled directly from the EHR
  • Submission and status tracking 24/7 across payer portals
  • Up to 70% reduction in prior-auth-driven denials
  • Faster turnaround prevents scheduling delays and rescheduling
What’s Included

A Complete Front-End Automation Engagement

From go-live through ongoing operation, the automation runs inside your existing infrastructure with security controls that match what your team already operates under.

No Integration Project. The automation operates inside your existing EHR, billing system, and payer portals — the way your staff does, only faster. No data migrations, no API builds, no IT roadmap impact.
6–8 Week Typical Go-Live. Implementation requires access to your RCM system the way you’d onboard a new biller. Most organizations are running production volume inside two months.
HITRUST & SOC Certified. Bots run inside your existing security perimeter. Patient data does not leave your systems — the automation interacts with your tools the way your staff would.
24/7 Operation. Bots run continuously, don’t take PTO, don’t turn over, and learn from every interaction — getting faster and more accurate over time without retraining cycles.
Expandable Footprint. Most organizations start with eligibility verification or prior authorization, then expand into claims follow-up, denial work, and other RCM functions once the front end is stable.
Built for $30M+ Providers. Designed for organizations where even a 1% revenue cycle gain represents seven figures — with pricing structured against that scale.
Order-of-Magnitude

What a 1% Revenue Cycle Improvement Looks Like

Front-end denials and eligibility errors typically suppress net collection by several percentage points. Automation that removes a meaningful slice of that gap compounds quickly at hospital scale.

~$5M
Illustrative annual lift on $100M in net patient revenue at a +5% improvement

Illustrative only. Actual results depend on current denial rate, payer mix, and operational baseline. Real outcomes are modeled against your numbers during the discovery conversation.

How This Fits With RCM

Automation Layer, Not a Vendor Replacement

Front-end automation isn’t a replacement for your clearinghouse, RCM partner, or internal billing team. It sits on top of them — handling the manual, repetitive work that those tools and people don’t fully cover. Most organizations keep their existing RCM relationships and add automation as a layer, not a swap.

If you already have a strong RCM operation, this engagement reduces the front-end leakage your team has been working around. If your RCM operation is itself the bottleneck, automation can run in parallel with an RCM evaluation — the two conversations don’t need to wait on each other.

This is a layer, not a replatform. Nothing about your EHR, billing system, or payer relationships changes.

Common Questions

Frequently Asked Questions

We already have a clearinghouse. How is this different?
Clearinghouses move transactions; they don’t do the upstream work that determines whether a transaction goes cleanly. Eligibility verification still happens in payer portals. Prior authorization still requires documentation assembly and submission. Automation doesn’t replace your clearinghouse — it removes the manual work your staff still does on top of it.
Is AI safe for healthcare data and PHI?
The automation is HITRUST and SOC certified and runs inside your existing security perimeter. Patient data stays in your systems — the bots interact with your EHR, billing system, and payer portals the way a human staff member would. The security review is a normal part of the discovery conversation, with documentation available before any data access.
We don’t have IT bandwidth for a new project right now.
There is no integration project. Implementation only requires access to your RCM system, the way you’d onboard a new biller. Typical go-live is 6–8 weeks with minimal IT involvement on your side — the work happens on the automation side, not yours.
What happens to our front-end staff?
Most organizations don’t reduce headcount — they redirect it. The automation absorbs queue work and repetitive portal logins, which lets the existing team move to exception handling, patient-facing work, and the complex cases that genuinely require human judgment. The labor problem in front-end RCM is more often a turnover and capacity problem than a headcount problem.
How do you measure success?
Standard metrics: eligibility accuracy rate, prior-auth denial rate, days in A/R, cost-to-collect, and net collection percentage. Baseline is established during discovery, and outcomes are tracked against that baseline through ongoing reporting. The 70% denial reduction figure reflects published outcomes — your specific result depends on your current denial rate and payer mix.
What does it cost?
Pricing depends on volume and scope and is modeled against your actual numbers in the discovery conversation. The engagement is structured for organizations where even a 1% revenue cycle improvement is worth seven figures, so pricing scales with that math — not as a flat platform fee.
Is this a good fit for smaller practices?
Generally no. The platform is built for organizations at roughly $30M+ in net patient revenue, where the math on automation clearly works. Smaller practices, cash-pay operations, and groups without clinical or surgical authorization volume are usually not a good fit — we’ll tell you that honestly in the first conversation.

See What This Would Look Like Against Your Numbers

A 30-minute working session is enough to model the opportunity against your actual denial rate, payer mix, and front-end volume. If there’s no meaningful fit, we’ll tell you straight.

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No pitch, no obligation, no pricing pressure.