Five questions to ask about AI deal scoring

Why this matters

A deal score can help you decide where to look first. It should not make a sales decision for you.

Before relying on one, ask what the number means and whether it helps you take a better action.

1. What is the score based on?

Find out what information the product considers. If important buyer context never enters the CRM, the score cannot reflect it.

2. Can you inspect the deal behind it?

You should be able to open the record and review its stage, activity, notes, and next steps. Treat an unexplained score as a prompt to investigate, not as a verdict.

3. Does it highlight risk as well as opportunity?

A useful system should help you notice stalled or overdue work—not just celebrate the deals that look strongest.

4. Can you correct the underlying record?

If a close date, stage, or activity record is wrong, fix it. Better data gives you a more useful view of the pipeline.

5. What action does the score change?

If the score does not help you choose a follow-up, investigate a risk, or reassess your forecast, it may be an interesting number rather than a practical tool.

RevenueRobotics combines AI deal scores with a daily focus view and at-risk alerts. Use those signals to decide what deserves your attention, then apply your knowledge of the buyer.

CTA: Learn about RevenueRobotics deal scoring.

Product-review note: Once you can accurately document RevenueRobotics’s scoring inputs and how a score changes, add that information here. It is more persuasive than a generic claim that the AI is “intelligent.”