The 2027 AI operating plan: What leaders at Lyft, Handshake, and ServiceNow are changing for 2027
Wednesday, October 28
1 PM ET
AI agents are quickly becoming a norm for taking action across business systems. That raises harder questions about cost, company context, employee skills, and control.
Hear how AI transformation leaders from Lyft, Handshake, ServiceNow, and Zapier are thinking about those questions as they plan for 2027.
More AI use does not guarantee better results
Companies spent 2026 buying tools, launching pilots, and encouraging employees to go beyond experimentation. Now directors are being asked whether that investment improved revenue, cost, speed, productivity, or quality.
Did promising pilots reach production? Can agents use company context and permissions safely? Are employees learning to build with AI, or simply using better chatbots? Does anyone know the full cost of each outcome, including tokens, tools, integration, oversight, and failures?
Dan Slagen will ask leaders from Lyft, Handshake, and ServiceNow what they learned in 2026 and what they plan to change in 2027.
In this webinar, we’ll cover:
– Building a shared context layer for people and agents
– Measuring AI ROI: What to measure before and after deployment
– Developing AI fluency through building real workflows
– Giving agents room to act safely with policy, permissions, and observability
– Deciding what to fund: how leaders can compare token costs with business outcomes
This is a public version of Zapier's AI Leaders Lab!
AI Leaders Lab is Zapier’s private executive community for senior leaders responsible for AI inside medium and large companies.
Members discuss the work that rarely appears in case studies: pilots that stalled, employees who resisted new tools, governance disputes, unclear returns, and the difficulty of putting agents into production.
This October 28 session is open to the public.
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