The New York Jets are happy to have a ‘Titan’ in their corner at the NFL Draft

2026-04-13 · Source: The Microsoft Cloud Blog · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Fundamental Awareness, medium

Summary

The New York Jets utilize a proprietary web application called "Titan" to enhance their NFL Draft preparation, scouting, and personnel strategy. This custom-built system, developed over 15 years, serves as the central hub for all football operations data, integrating traditional scouting reports with advanced analytics. Titan is built on Microsoft Azure, leveraging GitHub Copilot for accelerated coding and GitHub Actions for automated deployments, enabling rapid iteration and continuous integration. A key feature is a real-time, points-based draft/trade calculator, allowing the general manager and advisors to evaluate trade scenarios instantly. Additionally, the Jets use a custom Copilot AI agent within the NFL Combine App to quickly surface insights and compare prospect data from current and previous years using natural language queries, combining objective data with subjective film evaluations to inform player selections.

Key takeaway

For AI Product Managers developing internal tools for high-stakes, time-sensitive operations, consider how custom applications, like the Jets' "Titan" system, can integrate diverse data sources and provide real-time decision support. Your focus should be on creating intuitive user interfaces tailored to executive workflows and leveraging AI-powered development tools to ensure rapid iteration and deployment, meeting critical deadlines like the NFL Draft.

Key insights

Integrating custom technology with traditional scouting enhances player evaluation and strategic decision-making in professional sports.

Principles

• Combine subjective and objective data.
• Automate data processing for efficiency.
• Enable real-time decision support.

Method

Develop a centralized, custom web application for football operations, integrating scouting data, analytics, and decision-support tools, built on a flexible cloud platform with AI-powered development and automation.

In practice

• Use AI agents for natural language data querying.
• Implement real-time trade value calculators.
• Automate code deployment for rapid feature iteration.

Topics

• NFL Draft Strategy
• Player Evaluation
• Titan App
• Microsoft Azure
• GitHub Copilot

Best for: Executive, MLOps Engineer, AI Product Manager, Director of AI/ML, Consultant, Domain Expert

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Microsoft Cloud Blog.