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 8, 2026Improved

Follow-ups land when someone will actually see them

The system now learns when each candidate tends to reply, and times outreach to that window — while automatically avoiding phone numbers that can't receive a text in the first place.

A generic reminder schedule treats every candidate the same, even though people have very different habits: some reply to a text within minutes at 8pm, others only check messages on a lunch break. The assistant now builds a simple picture of when a candidate is actually reachable — based on when they've opened links, replied to messages, and any stated preference like "don't call before 10" — and times follow-ups to land inside that window instead of on a flat schedule.

Alongside that, every phone number on file is now automatically checked to confirm it can receive a text before it's used for one. Landlines and numbers that can't take SMS are flagged and routed differently, so your team's messages reach people instead of disappearing into an unreachable number.

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See it work a real file.

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

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