AI coding assistants are now ubiquitous across software engineering teams, yet relatively few organizations have transformed how engineering itself operates. Teams write code faster while continuing to struggle with bottlenecks in requirements, specifications, testing, verification, compliance, and engineering governance.  That’s because becoming an AI-native engineering organization requires changes across the entire engineering lifecycle.  This article introduces the AI adoption maturity model, a practical framework for understanding […]

Artificial intelligence is transforming how engineering teams develop products, analyze requirements, and identify risks. But for organizations developing safety-critical or highly regulated products, the conversation is about doing so responsibly.  Many engineering leaders face the same challenge: How can we introduce AI into engineering workflows while maintaining control over the development process?  The answer isn’t simply choosing the right AI model. Successful […]