What is Credentialing Agents?

Credentialing Agents is a team of autonomous AI agents that handles 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 file, cleared to work — 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.

Sep 15, 2026New

Your AI workforce now checks its own work

A new Requirement Supervisor reviews every requirement set for gaps and duplicates, and a policy engine now audits every AI agent's follow-through — flagging misses with a full history and a one-click fix.

Every AI agent on your account now has a second set of eyes.

A new Requirement Supervisor reviews the full requirement set behind every placement — catching a missing requirement before it costs a start date, two requirements that quietly describe the same document, or one filed under the wrong category. It never edits anything itself; it hands its findings to the agent that owns the fix, so nothing changes without the right agent — or the right person — signing off.

Alongside it, a new enforcement layer checks agents against the rules they're supposed to follow. If a clinician has an open item and nobody has followed up, it's flagged — with when it started, how severe it is, and everything already tried. A supervisor can nudge the agent to chase it down immediately, message the candidate directly, or dismiss it, all from one screen, with a running history for every agent on your account.

This is the same discipline you'd expect from a well-run credentialing team — someone checking the checker — built into the platform instead of depending on someone remembering to look.

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See it work a real file.

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

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