Backlog to batch
A seasonal spike or a network expansion is a volume problem, not a process problem. Incredable AI processes credentialing events in parallel — thousands of documents classified and extracted at once — so clearing a backlog does not mean hiring for one.
Parallel document processingEvery decision shows its work
Each extracted value carries the document it came from, the page, and the confidence the model reported. A committee sees the same trail a specialist does, which is what makes automated work defensible at survey.
Cited source per fieldYour governance, not ours
You choose which fields AI may pre-fill, which require a specialist to confirm, and what happens when confidence is low. The rules follow your policy and your accreditor’s standard, and they are yours to change.
Configurable per requirementSix steps, and exactly where the human enters
The boundary is deliberate and visible in the audit log: four machine steps, then a named person.
What it will not do
Published deliberately. If a vendor cannot tell you where their automation stops, the compliance review will find the answer later and less comfortably.
- ×Approve a provider, a privilege or an enrollment.
- ×Interpret bylaws, or decide whether a gap in a file is acceptable.
- ×Substitute an extracted value for a primary source verification.
- ×Train shared models on your provider data.
One document, read and cited
Watch a licence go from upload to filed: classified, extracted field by field with a source page and confidence on each, and the one value below your threshold handed to a named specialist to decide.
Governance settings live beside your other configuration — changed by your program administrator, not by us.
