Referral and prior-auth intake standardized
Before
Each payer's requirements live in someone's memory, and every incomplete request means another phone call.
After
One intake, one checklist per payer, one owner. The phone calls stop.
Clinicians see patients; the system chases the paperwork.
Prior authorization, referrals, claims exceptions, scheduling and revenue cycle are the processes that quietly consume clinical and administrative capacity. Most run on the EHR and a billing platform that could already do more than anyone switched on.
Where it starts, and what changes.
Read the "before" and find yours. Most healthcare and providers teams start here and find that half of what they assumed needed AI didn't.
Claims scrubbing and routing
Before
Every claim is eyeballed before submission; denials for missing data come back weeks later.
After
Deterministic checks before submission. Clean claims go; exceptions route with the reason attached; missing data halts loudly.
The next two levels for healthcare and providers, and what we typically see
Denial triage assistant
Before
One billing lead reads every denial, looks up each payer's reason by hand, and carries a backlog measured in weeks.
After
An agent summarizes why denials happen, then recommends the response for her to approve. Routine denials resolve same day; autonomy grows as agreement rate proves it.
Revenue cycle loop
Before
The same denial cause repeats next month because nobody looks across them.
After
Denial causes are reviewed monthly by payer and department. The rules and thresholds change under review, by your team.
10 to 20 hrs
per physician per week is commonly reported on administrative work
Weeks
of denial backlog at one billing lead is the pattern we see most often
Same-day
exception resolution is achievable at L3 with a person on the threshold
Claim exception to resolution: before, and after each level.
The left column is what we usually find. The right column is the same process, one level at a time, each step is paid for by the one before it.
KPIs that move, and who notices.
Baseline these before anything changes. The Survey instruments them; the Pilot is measured against them.
| Metric | How to measure it | Who it moves |
|---|---|---|
| Days in A/R | Average days from service to payment | CFO, revenue cycle |
| Denial rate and overturn rate | % of claims denied; % of appeals won | Revenue cycle |
| Same-day exception resolution | % of exceptions closed the day they arrive | Billing lead |
| Prior-auth turnaround | Days from order to authorization | Clinic operations |
What you get when it's built this way
Capacity back to care
Administrative hours return to clinical and patient-facing work.
Cash sooner
Clean claims leave faster; exceptions don't queue for weeks.
Governance intact
Everything runs inside your EHR and billing platform, with attribution on every action.
Systems healthcare and providers teams usually run on and where we've built.
We start with what you own. None of these is a partnership we take margin on.
Questions healthcare and providers teams ask before the first call.
Where should a healthcare and providers team start with automation?
With referral and prior-auth intake standardized. It's the step that returns hours before any software is bought, and it makes everything after it cheaper. The assessment tells you whether your process is already past that point.
Do we need AI to improve claim exception to resolution?
Usually not at first. Most of the delay in claim exception to resolution comes from manual hops between systems, which deterministic rules remove. An agent earns its place only where the inputs vary, and we start it read-only.
Which systems do you build on in healthcare and providers?
The ones you already run. We start with capability you license and nobody switched on, and we take no margin on anything we recommend. If a different tool would remove a real roadblock, you get the case and the switching cost in writing.
Thirty minutes. Worst case, you lose half an hour.
Bring one process. You leave knowing which level it's on, what to fix first, and whether it's worth doing anything at all.