CIOs, CTOs, and enterprise architects face a dual challenge. They must integrate AI into products and platforms, and prepare the SDLC to support AI safely and at scale. Pipelines designed for manual requirements, human approvals, and ad hoc tooling do not adapt well to machine-speed iteration. The result is delay, cost, and risk at a time when organizations need to move faster, prove compliance continuously, and enhance service reliability.

This inflection point is evident when examining how most enterprise delivery pipelines operate today. Backlogs documented as plain text are difficult for agents to interpret. Architecture decisions that rely on tribal knowledge slow down automation. Test design and triage processes that depend on manual authoring cannot keep up with AI-generated code. Traditional security and governance processes assume human actors and linear approval chains, not autonomous contributors and continuous verification.