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AI AGENTS • BILLING

Billing AI

EVV readiness, authorization, Sandata, and billing exception decision support.

Document IDAI-DOC-004
Version1.0
StatusDraft
Last Updated07/28/2026
Responsible AI, privacy, and provider-isolation notice

AI features are designed as assistive tools for authorized users. They do not replace required human review, professional judgment, Provider policy, or applicable legal and regulatory obligations. Public screenshots and examples must use redacted or demonstration information.

Purpose

Billing AI is designed to help billing teams identify incomplete or inconsistent records before EVV submission or downstream billing. It supports review; it does not independently certify, submit, or approve a claim.

Billing AI
Billing AI workspace or infographic.

Billing Review Functions

Individual readiness

Checks required identifiers, payer/program, authorization, and service information.

DSP readiness

Checks employee mapping, Sandata identifiers, employment status, and required profile fields.

Visit readiness

Reviews schedule, actual time, calls, GPS, units, corrections, and exception status.

Authorization validation

Flags dates, services, units, or payer details that may not align with the active authorization.

Sandata preparation

Supports review of payload readiness, sequence status, submission history, and rejected records.

Revenue leakage indicators

Highlights missing visits, incomplete documentation, under-billing, and unsubmitted eligible records.

Controls

Human confirmation

Billing staff review every exception and retain final responsibility.

No silent correction

AI should not change service time, units, payer data, or identifiers without an authorized user action.

Traceable changes

Manual corrections and resubmissions should remain linked to the source record and audit trail.

Security and HIPAA Expectations

Authorization

Users may access only the records and functions permitted by their assigned role and Provider scope.

Minimum necessary

Only information reasonably required for the approved operational purpose should be processed.

Human review

Authorized personnel remain responsible for validating recommendations and approving final actions.

Auditability

Material AI-assisted activity should remain attributable, reviewable, and connected to the source workflow.