Predicting Sprint Failures 2-3 Weeks Early with AI Engineering Analytics

This is a portfolio project from ZenDev Co — an AI Engineering Analytics platform built to demonstrate how development team work patterns can be analyzed.

We built an AI engineering analytics platform integrating with GitHub API and Jira API to analyze work patterns across pull requests, deployments, and code reviews. The platform uses GPT-4 to analyze work metrics (privacy-first) and assess metrics like sprint scope creep, task complexity distribution, and team velocity trends.

The platform achieved a 28% improvement in sprint predictability across 4 enterprise teams. It operates in a privacy-first architecture: no code content is ever processed — only work metrics and patterns.

This project demonstrates how intelligent analytics can turn daily workflow data into actionable insights.