Time: 3:00 PM
Room: OEC B
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.
Adam Maser
Senior AI Engineer
SPS Commerce
Adam Maser is a Senior AI Engineer at SPS Commerce and a member of the AI Surge Team — an embedded AI consultancy team that moves across engineering teams to accelerate AI adoption throughout the organization. He has led AI integration efforts spanning agents, tooling, guardrails, and developer workflows, helping teams navigate the gap between proof-of-concept and production-ready systems. His work spans evaluation frameworks, cost optimization, change management, and knowledge transfer, giving him a field-level view of what it takes to enable AI across an engineering organization.