AI-Native Engineering Needs Process Proof

AI-enabled software delivery is becoming difficult to evaluate because most providers now claim to use AI, while their delivery models may remain largely unchanged. The article explains the difference between bolt-on AI, where tools accelerate individual tasks, and AI-native delivery, where requirements, prompting, review paths, quality gates, testing, and deployment controls are redesigned around AI-generated output. It also argues that buyers should evaluate verifiable production outcomes rather than AI tool lists or methodology claims. Technology leaders should assess whether a provider has changed the engineering process, not just added AI assistants.