AI Maturity Model by Gigacore: A Comprehensive Framework for Engineering Teams to Assess and Evolve AI Adoption in Tools, Practices, Governance, and Innovation.

As AI technology integrates into software development, engineering teams encounter challenges, particularly regarding governance frameworks and effective adoption. The AI Maturity Model for Software Engineering Teams (AI-MM SET) addresses these issues by providing a structured framework to assess and enhance AI integration. It outlines a three-axis maturity matrix with five levels of sophistication, ranging from Exploratory (Level 1) to Transformational (Level 5), illustrating the increasing impact of AI across workflows. Additionally, it details six core dimensions: AI literacy, workflow integration, tooling, governance, collaboration, and business impact. Each engineering role—from Junior to Distinguished Engineer—has specific expectations tied to these dimensions, fostering growth at both individual and organizational levels. This model empowers teams to evaluate their AI adoption progress, plan advancements, and align practices with strategic objectives, ensuring responsible and innovative use of AI in software engineering.

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