Describe the change
Select the change type, how reversible it is, and how many users or systems it could affect.
AI CHANGE RISK CHECK
Combine change type, reversibility, and blast radius to decide whether an AI-generated change needs a human approval checkpoint before it ships.
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Complete every field. The result updates only when you choose Calculate.
Select the change type, how reversible it is, and how many users or systems it could affect.
The three inputs combine into a 0-100 risk score using a transparent point system.
The result tells you whether to require mandatory approval, recommend review, spot-check, or ship without a gate.
Continue learning: Where humans still need to be in the loop with AI coding
AI coding assistants can produce plausible-looking but subtly wrong changes quickly, so having a consistent rule for when a human must look before shipping reduces the risk of an unreviewed mistake reaching production.
Change type, reversibility, and blast radius each contribute points (up to 35, 35, and 30 respectively) based on how risky that dimension is, summed to a 0-100 score with a matching recommendation.
One where data or actions cannot be recovered once applied — for example a hard delete with no backup, or an email sent to users that can't be unsent.
It means a dedicated human approval gate isn't necessary — standard code review and testing still apply to every change.
No — it's a quick heuristic to decide checkpoint rigor. Regulated environments should follow their existing formal change management requirements regardless of this score.
| Feature | MVPHub | Linear | GitHub Copilot |
|---|---|---|---|
| Structured risk scoring | Included | Not included | Not included |
| Combines type, reversibility, blast radius | Included | Not included | Not included |
| Explicit checkpoint recommendation | Included | Limited | Not included |
| No setup required | Included | Limited | Included |
Linear can enforce a review step in a workflow and Copilot can flag risky-looking code, but neither computes a structured risk score from change type, reversibility, and blast radius together.
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