AI Maturity

Learn how Cortex helps engineering organizations unlock AI excellence by measuring, standardizing, and improving how teams adopt and use AI coding assistants like GitHub Copilot, Cursor, and Claude. Cortex enables organizations to mature their AI practices—not just adopt AI tools, but adopt them safely, consistently, and with measurable engineering impact.

What you’ll learn in this video:

• How Cortex helps teams drive AI maturity with structure, consistency, and accountability
• How the AI Maturity Scorecard enforces standards across repos: contributing guides, Copilot instructions, pre-commit checks, and required safeguards
• How workflows automate access to AI tools (e.g., GitHub Copilot) and enforce AI-related best practices
• How engineers can use MCP to ask questions like “Which repos are non-compliant?” or “What do I need to reach Silver AI maturity?”
• How leaders can use Engineering Intelligence dashboards to track changes in cycle time, incident rates, and real engineering impact as AI usage scales

Cortex gives organizations a repeatable way to measure, enforce, automate, and improve AI adoption. With strong standards and visibility in place, teams can leverage AI tools confidently and securely, while leadership tracks real, data-backed productivity gains.

Want to learn more?

• Check out our AI Maturity documentation: https://docs.cortex.io/solutions/ai-maturity