While AI can unlock operational scale in any corner of your enterprise, it can only accomplish that if people use it at scale. As the GitHub team will attest, this requires leadership committed to realizing enterprise wide value from AI investments and an intentional culture of innovation.
From launching an open source initiative to reimagining internal product strategy, you’ll learn how GitHub drove adoption, alignment, and measurable success by treating internal AI tools with the same rigor as customer-facing products. Join their IT leaders as they share the frameworks, mindset shifts, and lessons learned from empowering every GitHubber to unlock the power of AI.
You’ll Learn:
- How GitHub is enabling teams to build their own AI tools—with guardrails, guidance, and purpose
- How GitHub’s first internal IT Product Management org is driving agile product development, roadmap alignment, and AI-powered tools to support HR, sales, IT, and more
- What GitHub learned from early OctoBot pilots, and how they continue to optimize through feedback, metrics, and roadmap-driven execution.
- How GitHub’s IT team aligned efforts to company-wide initiatives—ensuring every department sees value.
- Which AI-powered workflows are driving the biggest impact across GitHub’s org and what’s coming next.
Speakers
Ashley Sprague
Sr. Director of IT, GitHub
Andrew Bauer
Group Product Manager, GitHub
Philip Luedtke
VP of IT & Business Systems, GitHub
