AI Maturity

Engineering teams have adopted the use of AI coding assistants and other tools, and many companies are launching internal initiatives around using AI tools for increased efficiency.

How Cortex helps with AI adoption and maturity

Your organization can drive AI Maturity with Cortex by:

• Ensuring that AI tools are being adopted by engineering teams via Scorecards

• Configuring Workflows to automate the process of requesting access to AI tools such as GitHub Copilot

• Using Cortex MCP, a tool that enables engineers to query information in natural language and receive quick answers. It uses relevant context from your Cortex workspace, ensuring awareness of your system's structure when answering your questions.

• Reviewing Eng Intelligence metrics to watch how trends change as AI tools are adopted and used consistently

Drive AI Maturity in Cortex

Learn how to use Cortex features to drive AI Maturity: Automate AI Maturity.

Learn about maintaining and continuously improving your AI initiatives: AI Maturity in action.