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Sales AI Lab

How do you make an AI lead score inspectable?

Author: Sales AI Lab · Editorial team · Updated: 2026-10-06

Who this guide helps

Sales teams testing prioritization

The short answer

Show the evidence behind the suggested priority and allow a reviewer to disagree. A score should route attention, not claim that a person will buy.

Practical workflow

Define criteria tied to the business task, such as an explicit request or verified account fit. Separate missing information from negative evidence. Review data permissions and avoid sensitive personal characteristics. Record the source date and why the model suggested a priority.

What a useful handoff looks like

Compare scores against human review and inspect false high-priority and false low-priority cases. Document overrides and changes to criteria. Keep any reported metric tied to the evaluated sample.

Mistakes to avoid

Do not invent intent from a job title or publish individual propensity claims as fact. A number is not proof of demand, consent or qualification.

Working example: fields to record

FieldIllustrative entry — replace with your own facts
CriterionExplicit request for quotation
SourceAuthorized dated enquiry
OverrideReviewer explains insufficient evidence

Add your own entries; the example is illustrative. Keep sensitive information private.

Download the blank worksheet

Sources & further checks

Official references are starting points for further checks, not approval of a specific case, product or project.

Editorial note

AI-assisted editorial guidance; not expert certification.

Original editorial guidance. Examples are illustrative, not client cases, measured outcomes or promised services.

Legal and health-related decisions require appropriately qualified local professionals. This site is an independent editorial resource, not a law firm or medical provider.