AI Enablement in the SDLC: A Strategy Sampler

AI enablement isn’t buying Copilot and calling it done–it’s a system upgrade for the entire SDLC. Code completion helps, but the real bottlenecks live in reviews, testing, releases, documentation, governance, and knowledge flow. Achieving meaningful impact requires an operating model: guardrails, workflows, metrics, and change management; not a single tool.

This session shares SPS Commerce’s field notes: stories, failures, and working theories from enabling AI across teams. You’ll get a sampler of adaptable patterns and anti-patterns spanning productivity, systems integration, guardrails, golden repositories, capturing tribal knowledge, API design, platform engineering, and internal developer portals. Come for practical menus you can pilot next week—and stay to compare strategies with peers.

About Travis Gosselin

Travis is a Distinguished Software Engineer at SPS Commerce, the world's largest retail network, where he leads innovation, drives meaningful change, and amplifies team productivity. With a passion for technology and a talent for simplifying complex architectures, Travis focuses on creating seamless Developer Experiences and fostering high-performing teams. A seasoned speaker, architect, and blogger, he thrives on sharing insights, exploring emerging technologies, and championing impactful development practices.

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