From Policy to Production: Operationalizing AI Governance in the Enterprise
Presented by SheTO in partnership with BayOne
AI governance has moved from a boardroom talking point to a board-level mandate. As enterprises race to deploy generative AI, agentic systems, and AI-powered workflows at scale, the hardest questions are no longer about what AI can do — they're about how to deploy it responsibly, measurably, and without slowing the business down.
Join SheTO and BayOne for a candid conversation with senior technology leaders, including the CTO of Staples, as we move beyond frameworks and principles to explore what AI governance actually looks like in production. Our panelists will share how they're navigating the realities of building trustworthy AI at enterprise scale — from setting up cross-functional governance councils and risk tiers, to embedding controls into the development lifecycle, to measuring ROI against responsible-AI guardrails.
You'll walk away with practical insights on:
Building an AI governance operating model that scales across business units
Translating regulatory pressure (EU AI Act, NIST AI RMF, emerging US frameworks) into engineering practice
Managing third-party and vendor AI risk in a fast-moving ecosystem
Structuring teams, roles, and accountability for AI oversight
Balancing speed of innovation with the discipline of responsible deployment
Whether you're a CTO, CIO, CISO, head of data, or technology leader shaping your organization's AI strategy, this conversation will give you a clearer playbook for turning governance policy into production reality.
Where: Pleasanton, CA - Location details will be shared with approved attendees post registration
When: June 18th, 6:00pm - 8:00pm PT
Who should attend: This event is open to all female-identifying and nonbinary engineering leaders. Attendance is by approval only.
Appetizers and beverages will also be provided.