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After upload, every denial lands in the Denials inbox with an AI-extracted classification, deadline, and strategy recommendation. Your job is to review, adjust, and approve — not re-enter the data.

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The inbox view

The inbox shows one row per detected denial with these columns:

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Denial types

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Confidence score

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Human-in-the-loop review

Denials below 70% confidence — or where the AI detects conflicting signals — are automatically queued for review by a trained Denialbase reviewer.
1

Triage

The reviewer reads the document, confirms or corrects the classification, and adjusts the deadline if needed.
2

Notes

The reviewer adds any context (e.g. “payer used an unusual CARC code; reclassifying as prior-auth based on attached letter”).
3

Release

The denial is released to your inbox with a “Reviewed” badge and the reviewer’s notes attached.
Typical HITL turnaround is under 1 hour during business hours.

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Adjusting a classification

You can override the AI on any denial:
  • Click the Type dropdown on the detail view to reclassify.
  • Edit the Deadline if the AI picked it up incorrectly.
  • Add Clinical notes that won’t change the appeal draft but will be visible to reviewers and to the AI on re-run.
Every override is captured and fed back into our training process — this is how the classifier gets better for your practice over time.

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Bulk actions

Assign

Select multiple denials → Assign to → pick a teammate. Assignees get an email and in-app notification.

Prioritize

Mark as Urgent, Normal, or Low. Urgent denials are pinned to the top of everyone’s inbox.

Snooze

Hide until a specific date. Denials unhide automatically a week before the appeal deadline.

Archive

Archive if you’ve decided not to appeal. Archived denials are included in reporting but out of the main inbox.

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Reading the strategy recommendation

For each denial, you’ll see a Strategy box with:
  • Recommended path: peer-to-peer, formal written appeal, external/IRO review, or “do not appeal” (e.g. duplicate, valid patient responsibility).
  • Citations: specific plan language, state regulations, or federal rules (ERISA, ACA) supporting the appeal.
  • Estimated overturn probability: based on historical outcomes for similar denials in your practice and the broader Denialbase dataset.
  • Prerequisites: e.g. “attach operative report and medical necessity letter before filing”.
The strategy is advisory. You’re always in control of what to appeal and how — the AI’s job is to show you the path with the evidence, not make the decision.