Open governance framework · v1.3 · Practitioner-led · not an accredited standard, certification, or regulatory requirement · seeking shadow-evaluation partners
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Behavioral Baseline · Shadow Mode · 90 Days

Shadow Evaluation Guide

A structured, no-cost process for payer operations teams to establish a behavioral baseline for incoming AI voice calls — without changing anything in your call flow.

Diagram contrasting unverified impersonation latency with the verified NHID-Clinical trust pathway: early disclosure, pre-data checkpoint, escalation, and sealed audit.

What shadow mode measures: disclosure timing vs. impersonation latency

Download PDF — Shadow Evaluation Guide
Shadow mode means observe-only. Your existing call handling is unchanged. You measure how today's incoming AI voice traffic behaves against the four NHID-Clinical v1.3 controls, then decide what to do with the findings.

What This Is

  • No cost. No vendor changes. No production risk.
  • You run it in shadow mode alongside your current operations.
  • Goal: produce a written behavioral baseline showing how AI voice agents currently disclose, escalate, and log calls to your administrative lines.
  • This is not a pilot program. There is no certification, no SLA, and no commitment beyond sharing anonymized findings with the community if you choose.

What You Need

  • Access to call logs or recordings for a sample of incoming administrative calls (eligibility, claim status, prior authorization).
  • About 30 minutes of staff time for orientation.
  • Willingness to share anonymized findings if you choose to.

The 90-Day Structure

Month 1 — Behavioral Baseline

Log incoming calls. Identify which callers are AI voice agents. Record disclosure timing, escalation behavior, and audit trail presence.

Month 2 — Gap Analysis

Evaluate identified AI calls against the v1.3 controls (IDG-01, PDX-01, DBC-01, EIT-01, plus the supplemental ATR-01 audit-trail control). Quantify what passes, what fails, what is ambiguous.

Month 3 — Written Assessment

Compile findings into a short written assessment. Share the anonymized results with the community to help inform the next version of the proposal.

The Controls You Are Observing

Control What it requires
IDG-01 Disclose AI identity at call start, before any data exchange.
PDX-01 No PHI or credentials exchanged before identity disclosure is confirmed.
DBC-01 No deceptive audio artifacts — no fake breathing, no human-name openers.
EIT-01 Immediate, clean escalation path to a human on request.
ATR-01 Basic audit log — enough to reconstruct when disclosure occurred.

How to Start

Email contact@nhid-clinical.org with the subject line "Shadow Evaluation". Include your role and the workflows you want to observe.

Related Resources

Shadow mode in one sentence

Observe today's AI voice traffic against IDG-01, PDX-01, DBC-01, EIT-01, and ATR-01 — log what passes, what fails, what is ambiguous — then decide what to require in the next contract cycle.

Start shadow evaluation →   Download PDF →

Open for feedback

Questions? Reach out directly.

Whether you have a process question, a concern about the controls, or you want to share what you're seeing in your own call traffic — feedback from payer operations teams is what shapes this work.

For Payers →

Where to go next

Four ways into NHID-Clinical, whatever you came to do.