Automatically identify release risks before deployment using Make.com + AI

Introduction

One of the most stressful moments for product and engineering teams is preparing for a release. Features may appear “ready,” but hidden risks often exist beneath the surface—unfinished tasks, unresolved bugs, delayed dependencies, poor test coverage, or unstable deployments.

Most teams discover these risks too late, often after a release has already caused production issues. Product managers are then forced into reactive firefighting instead of proactive decision-making.

In this tutorial, you’ll build a Release Risk Detection System using Make.com that automatically analyzes release readiness data, identifies potential risks, assigns risk scores, and alerts teams before deployment happens.

By the end, you’ll have a system that acts like a release intelligence layer, helping teams make safer and more informed launch decisions.

What You’ll Build

This system will:

• Collect release readiness data automatically
• Analyze bugs, dependencies, tasks, and test status
• Detect release risks before deployment
• Assign release risk scores
• Alert stakeholders of critical issues
• Generate release readiness reports
• Create a centralized release monitoring dashboard

Tools You’ll Need

• Make.com — automation engine