PAYER READY CREDENTIALING & COMPLIANCE
CredBrain

Agentic AI built for payer enrollment that proves itself

CredBrain works real payer portals, verifies every field it touched, and chases every application until it pays. It never submits without a human.

Live on a real federal portal today · every submission approved by a human

3 AGENTS RUNNING

Profile verification

Before any mission runs, the profile has to prove itself

NF

Northlake Family Medicine

Organization profile

AR

A. Reyes, MD

NPI 1487 xxx xxx

NPPES identity match

State license active

OIG LEIE sweep clear

SAM.gov sweep clear

Documents complete

CAQH attested and current

Profile verified · 6 of 6 checks clear · missions unlocked

Agent missions

Every field verified · submit stays human

ProviderCredBrainAction
AR

A. Reyes, MD

Internal medicine

Preparing filling · readback on Awaiting human Submitted
Approve
JO

J. Okafor, LCSW

Behavioral health

Verifying 9 sources Verified · clear
Watch live
MK

M. Kowalski, DDS

General dentistry

Follow up · Day 14
Payer log
SP

S. Patel, NP

Family practice

Queued Preparing pack
Details

09:40:41 verifying identity against NPPES · match

09:40:48 sweeping OIG LEIE and SAM.gov · clear

09:40:55 profile verified · 6 of 6 checks · missions unlocked

09:41:07 field readback · 12 of 12 match intent · 0 mismatches

09:41:12 screening clear · NPPES · OIG LEIE · SAM.gov

09:41:15 submit locked · waiting for human approval

Autonomy you can watch, question, and stop

Missions run field by field, and read the portal back after every single write.

AR

Mission · 855I

A. Reyes, MD

Filling personal information 12 of 12
Reading every field back

Comparing the live screen against intent, selector by selector

Screening NPPES · OIG · SAM.gov

Anything unexpected, and anything irreversible, stops and waits for your team.

Needs review

Read back did not match intent

checkbox#certifyAddress · expected checked

The mission paused itself. No value was logged, only the field and its state.

Fix and resume Take over browser

Every human correction becomes permanent intelligence, scoped so real risks still fire.

Exclusion screening

Name collision cleared by reviewer

Different person confirmed. Reason documented.

identity fingerprinted
This collision will not fire again

Silent across monthly sweeps, profile updates, and future agent runs

Built on receipts, not demos

Live on a real federal portal

The runner logs into Medicare PECOS today: real credentials, real MFA, real 855 drafts, watchable as it happens.

Every field read back

No exception is not the same as no error. Every fill, select, radio, and checkbox is re-read from the live screen and compared against intent.

Submit stays human

Five independent layers guarantee it, starting with the fact that the automation language has no submit instruction at all.

Corrections compound

Cleared false positives are fingerprinted and never fire again. Operator effort becomes system intelligence.

A verified knowledge base underneath

Fifty one jurisdictions of associate billing rules, 179 payer families of enrollment facts, and the honest word unknown where a fact is not pinned.

What runs today

Every automation, and the receipt behind it

No vaporware. Pick a capability, or let it walk you through the stack.

PECOS session active

Autonomous portal runner

Logs into live Medicare PECOS, relays MFA to your operator, and prepares 855 drafts field by field.

  • Real federal portal, real login, watchable in real time
  • MFA relayed to a human operator, never stored loose
  • Take over the browser at any moment
12 of 12 fields match intent

Field level verification

Reads every fill, select, radio, and checkbox back from the portal and compares it against intent.

  • Every field re-read from the live screen after writing
  • A mismatch pauses the mission for a human
  • Per field artifact: selector, kind, pass or fail
14 of 14 checks verified

Pre-submission verification

Fourteen checks against NPPES, OIG LEIE, SAM.gov, and CMS data before an application moves — and a verdict that says so when a check could not verify.

  • NPI and identity confirmed against NPPES
  • Exclusions swept: OIG LEIE, SAM.gov, and the Medicare opt-out list
  • Green only when every applicable check actually verified
Correction remembered permanently

A screener that learns

When a reviewer clears an exclusion false positive, that identity is fingerprinted and the collision never fires again.

  • Fingerprint by NPI, or name, birth date, and state
  • Scoped per provider so real hits still fire
  • Live across sweeps, updates, and agent runs
Day 14 follow up executed

Follow up cadence engine

Every submitted application gets an autonomous follow up schedule and a payer contact log.

  • Scheduled touches from day one to approval
  • Every payer contact logged with its outcome
  • Nothing sits silently in a payer queue
3 sessions streaming

Agent command center

Live session monitoring for every agent run, built for operators.

  • Watch the agent browser stream live
  • Relay MFA and approve checkpoints in one click
  • Stop any mission instantly
DEA certificate parsed

Document AI intake

Licenses, DEA certificates, and COIs are read on upload and extracted into the profile.

  • Fields extracted the moment a document lands
  • A human approves before anything writes
  • Expiration dates captured for the watchlist
Next expirable: 47 days out

Expirables and revalidation watch

License, DEA, and malpractice expirations tracked, plus Medicare revalidation due dates synced from CMS.

  • Alerts land before anything lapses
  • Revalidation dates pulled from CMS data
  • One compliance surface per provider
Config parity: 40 of 40

Portals as data

A payer portal fill is a configuration, not custom code, proven against the hand built original.

  • PECOS config drives the browser identically
  • 40 interactions, zero behavioral difference
  • New portals become data, not projects
Walkthrough scheduled

Medicaid multi state fills

Michigan CHAMPS and Illinois IMPACT next: two states that share one underlying system.

  • One build covers two states by design
  • Backed by our published 50 state platform research
  • Same never submit rules from day one
Mapping in progress

Commercial payer flows

Aetna request for participation is the next commercial target, mapped like PECOS was.

  • Human walkthrough first, then run as data
  • Contract first flow honestly modeled
  • Verification rules carry over unchanged
In the shop

The mapping brain

The model that reads a new portal and writes the fill configuration itself.

  • The executor it feeds is already live
  • Every generated config is human reviewed
  • Autonomy only grows behind the gate

Trust, engineered

"No error" is not "success"

Most automation trusts that a form filled without an exception was filled correctly. CredBrain does not. After every interaction it reads the portal back and compares what is actually on the screen against what it intended to write.

  • Every fill, select, radio, and checkbox is verified, not just text fields
  • A mismatch pauses the mission and hands it to a human with the evidence
  • Each review pause carries a per field artifact: selector, kind, pass or fail, never values

Our rule for every new capability: if the system cannot detect that it did the wrong thing, it does not get more autonomy.

Verification artifact · screen 6 of 12

values never logged
input#legalName read back match
select#stateOfPractice read back match
radio[name=entityType] read back match
input#npi read back match
checkbox#certifyAddress MISMATCH
input#taxId read back match

Mission paused. A human reviews the mismatch before anything continues.

Monthly sweep flags a name collision

An OIG exclusion entry matches a provider by name. The file pauses and a reviewer gets the evidence.

A human clears the false positive

The reviewer confirms it is a different person and documents why. That decision used to evaporate.

CredBrain fingerprints the identity

The excluded individual is remembered by NPI, or name, birth date, and state, scoped to this provider.

The same collision never fires again

Profile updates, monthly sweeps, and future agent runs stay silent on that name. The reviewer's hour became permanent intelligence.

The flywheel

Every correction makes it permanently smarter

Credentialing teams solve the same false alarms over and over. CredBrain treats a human correction as training data with a receipt: reviewed once, remembered forever, scoped precisely so it never hides a real hit.

Exclusion screening clearances run this loop in production today. Portal fill corrections and deficiency overrides are the next surfaces to get it.

The line that never moves

Five layers guarantee a human holds the pen

Autonomy grows. This gate does not. Submitting, signing, and attesting are human acts at PayerReady, enforced in depth.

1

The executor has no submit primitive

The portal automation language cannot express a submission. The capability does not exist to misuse.

2

Missions stop at the approval boundary

The state machine ends every autonomous arc at a human review step before anything irreversible.

3

Screens must prove themselves

Selectors are content anchored, so an unexpected page halts the run instead of guessing.

4

Verification must pass first

A run with an unresolved mismatch cannot even reach the approval step.

5

An operator watches live

Every session is observable in the command center, with take over and stop controls one click away.

The knowledge layer

Answers with receipts, not vibes

The agent runs on a verified knowledge base: primary sourced payer intelligence, state rules, and the honest word "unknown" where a fact is not yet pinned.

Associate Medicaid billing, all 51 jurisdictions

Rendered from the shipped guard's own config
AL AK AZ AR CA CO CT DC DE FL GA HI ID IL IN IA KS KY LA ME MD MA MI MN MS MO MT NE NV NH NJ NM NY NC ND OH OK OR PA RI SC SD TN TX UT VT VA WA WV WI WY
Associate bills under their own NPI 14 Supervisor bills for the associate 15 Agency or facility route only 18 No route, or restricted 2 Not verified yet, and we say so 2

Ask CredBrain

Grounded answers on payer rules, state deadlines, and associate billing, each with its verification date. When the knowledge base does not know, it says so instead of improvising.

The research is public

The same intelligence powers our free references: who runs Medicaid enrollment in every state, and enrollment facts for 179 payer families.

Straight answers

Does CredBrain submit applications on its own? +

No, and it never will. Submitting, signing, and attesting always pass a human approval gate. Five independent layers enforce it, including the fact that the portal automation has no submit capability by construction.

How does it know it filled a field correctly? +

It reads every field back from the portal after writing it and compares the screen against intent. A mismatch pauses the run for a human, with a field by field verification artifact attached.

Which portals does it work today? +

Medicare PECOS runs live today: real login, MFA relay, and 855 draft preparation with verification on every field. Michigan CHAMPS and Illinois IMPACT are in development next, chosen because they share one underlying system.

What happens when a human corrects it? +

The correction becomes permanent intelligence. Cleared screening false positives are fingerprinted so the same collision never re-fires, and that pattern is expanding to portal fill corrections next.

See CredBrain in action

Free to start. Upload once, then watch the engine and your named specialist take it from there.

Every submission approved by a human. Every action logged. That part never changes.

Ask CredBrain

Answers from your credentialing team's verified knowledge base

Hi, I'm CredBrain. I answer from your credentialing team's verified knowledge base: payer join paths, state rules, timelines, associate billing, and enrollment workflows. If I don't have a verified answer, I'll say so and point you to your team. What would you like to know?

Try asking