Many AI enablement programs start by giving every employee access to a chatbot or coding assistant. That is useful, but it is only the first step. The next level is team-owned agents: durable assistants that understand a team's domain, operate in shared workflows, use approved tools, and produce work everyone can inspect, review, and improve.

In this talk, we'll argue that AI enablement succeeds when it moves from individual productivity hacks to shared team infrastructure. Based on what we've learned building and adopting Agor at Preset, we'll discuss the ingredients needed to scale agents across an organization: shared visibility, permissioned tools, team knowledge bases, reusable skills, auditability, and clear ownership. We'll show how Agor supports this model in practice, helping teams create agents that live where the work happens instead of disappearing into ephemeral private chat histories.

Target audience: enterprise AI and data/AI leadership, heads of platform and AI enablement, org-transformation and CIO/CTO audiences.

Format & length: best as a 25–40 minute talk or keynote; adaptable to a leadership panel or fireside; can be tuned more strategic (operating model, risk, adoption) or more practical.

Attendees leave with:
(1) why enablement must move from individual chatbots to team-owned agents;
(2) the ingredients to scale agents org-wide — shared visibility, permissioned tools, team knowledge bases, reusable skills, auditability, ownership;
(3) how team-owned agents produce inspectable, reviewable work.