Operationalizing Agent Building in the Enterprise
Enterprise AI initiatives stall because business teams, technical teams, and governance leaders aren’t speaking the same language. Turning an agent idea into something real requires translation of operational pain into technical requirements, a business case leaders can see the ROI in, and cross-functional leaders moving in lockstep.
Alyssa Cox
VP of Global Business Services Transformation, Cardinal Health
Greg Shove
CEO, Section
Bridging the business and technical divide
Join Cardinal Health’s Alyssa Cox and Section’s Greg Shove on September 9 from 12 - 1 pm ET for a conversation on what it takes to bridge the business and technical divide so agent initiatives can actually scale. They’ll cover questions like:
- What does the bridge between business and technical teams look like when an agent initiative is first taking shape?
- What does it take internally to get alignment across the business, governance, infrastructure, and technical teams for an agent?
- How do you make the case for agentic investment?
- What considerations around maintainability, internal ownership, and scale need to be addressed in the agent building process?
- How do you expand agentic capabilities into other business units?
They’re taking your questions too – so RSVP free and bring your stakeholders.
Meet your speakers
Alyssa Cox
VP of Global Business Services Transformation, Cardinal Health
Alyssa Cox is VP of Global Business Services Transformation at Cardinal Health, where she leads finance and enterprise-wide transformation initiatives. She has spearheaded multi-million-dollar AI and digital process transformations across global teams, partnering with Google Cloud, KPMG, and Genpact to scale AI in finance operations.
Greg Shove
CEO, Section
Greg Shove is the CEO of Section and a seven-time startup CEO. He is the founder of Machine + Partners, an AI consultancy helping companies deploy AI products, the co-author of Personal Math and AI Truth Serum, and a lecturer at Berkeley Haas. His mission is to get 1,000,000 students into "the AI class" by 2026.
