Review AI prefill suggestions safely

Accept, edit, or reject rule-based prefill suggestions with confidence and provenance visibility.

Org Admin

Compliance Lead

Prefill is rule-based, not an AI guess

Suggested answers come from a rule-based match against what you have already told Quick Policy, not a live model call. Confidence labels tell you how strong that match is.

Summary

Accept, edit, or reject rule-based prefill suggestions with confidence and provenance visibility.
Use this guide to complete the workflow with audit-ready evidence and ownership.
If you hit a blocker, run troubleshooting first, then escalate with context.

Steps

1. Read the confidence label before deciding
Each suggestion shows High confidence (80% or above), Worth a look (50% or above), or a best-guess label for anything lower.
2. Accept suggestions that match your business
Select Accept to use the suggested value as-is.
3. Reject or edit anything that does not fit
Select Reject to discard a suggestion, or type over the value directly. Typing over a suggestion records it as an edit rather than a straight accept.

Verification

Every prefilled field shows a confidence label before you act on it.
Accepted, rejected, and edited fields are visually distinct once you move past them.
Low-confidence (best-guess) fields get extra scrutiny before acceptance.

Troubleshooting

A suggestion looks confident but is factually wrong.

Confidence reflects match strength against existing answers, not real-world accuracy. Reject or edit it; do not accept purely because the label says High confidence.

Workflow screenshots

Core onboarding question cards with guided inputs — Capture the core organization profile in minutes with guided question cards.

Applicability recommendations showing standards and rationale — Applicable standards are ranked with rationale and confidence.

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