What is Credentialing Agents?

Credentialing Agents is a team of autonomous AI agents that runs onboarding and credentialing for healthcare staffing agencies end to end — from ATS placement to a compliant, signed-off, cleared-to-work file. The agents plan requirements, verify licenses at the source, run background checks, chase documents, and route e-signatures.

How fast can a candidate be credentialed?

Days, not weeks. Agents work every requirement in parallel, around the clock — gathering requirements, applying conditional rules, verifying at primary sources, and following up with candidates by text and email.

Which systems and vendors does it work with?

The agents work inside the stack a staffing team already runs: ATS/CRM systems such as Bullhorn and JobDiva, background-check providers, primary-source verification with state boards and registries, reference checks, drug and health screening, e-signature, and two-way email and SMS. A built-in browser and computer handle portals with no API.

Do we have to replace our current credentialing process?

No. There is no rip-and-replace: the agents operate your existing tools, vendors, and process. Trials run in shadow mode alongside your current workflow, and your system of record never moves.

Can we run it ourselves, or is it a managed service?

Both. As a platform, your specialists direct the agents inside your ATS. Or fully managed: send the placement and a supervised team of agents returns a compliant, signed-off, submit-ready file, priced per credentialed clinician.

How is autonomous credentialing kept safe and compliant?

Full autonomy with full accountability: every decision is traced and explainable, every AI call carries a confidence score, humans review irreversible steps with custom checkpoints anywhere, any agent can be paused instantly, and data stays private — encrypted, least-privilege, never used to train external models.

Credentialing Agents

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Every document read, every forgery flagged.

Vision models extract structured data from cards, licenses, and lab reports — and check that documents look like what they claim to be.

What it is

Every uploaded document gets read, not just stored: certification cards, licenses, lab reports, immunization records — including photos and handwriting. The extraction becomes structured data checked against requirements, and visual authentication looks for signs of tampering or fabrication, routing anything suspicious to human review.

How the agents run it · Documents & Identity

01
Extract
Names, dates, numbers, and issuers are pulled from any format — photo, scan, PDF, handwriting.
02
Check
Extracted data is validated against the requirement: right person, right credential, not expired.
03
Authenticate
Visual analysis checks layout, fonts, and artifacts against how the document should look.
04
Route
Low confidence or suspicion routes to human review with the evidence highlighted.

What you get

Phone photos and handwriting handled, not rejected
Expired or mismatched documents caught at upload
Fabricated documents flagged before they enter a file

Questions

What document types can be read?

Effectively all of them — certification cards, licenses, lab reports, immunization records, driver's licenses, diplomas — as photos, scans, or PDFs, including handwritten content.

How does visual authentication catch fakes?

The system knows how common credentialing documents should look — layout, typography, security features — and flags visual anomalies and editing artifacts for human review rather than making the call alone.

See ocr & visual authentication run live.

Thirty minutes, one placement, worked live — start to submit-ready.

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