Webinar
NOV 19
10:00AM EST | 15:00 GMT
Optimize and control agentic DevOps costs with GitHub enterprise
A transparent look at the hidden costs of running AI agents at scale and how leaders can control them
Compare costs across GitHub, GitLab, ADO, and Atlassian
Control what agents run and when
Govern AI spend from one place
Hosted by

Who this webinar is for
Why this webinar?
AI agents now review code, write code, and run on a schedule. Each run costs AI credits, and on private repositories it also uses Actions minutes. With GitHub, GitLab, ADO, and Atlassian each charging for AI differently, leaders need a clear view of agent costs, smart rules for when agents run, and the governance to scale agentic DevOps with confidence.

Compare costs across platforms
Understand how GitHub, GitLab, ADO, and Atlassian each measure and charge for AI. See why their numbers are hard to compare and how to get a clear view of your total AI spend.

Control what agents cost
Learn what code review, the Copilot cloud agent, and scheduled runs cost in AI credits and Actions minutes, and how triggers and scope decide what each run is worth.

Govern AI at enterprise scale
See how GitHub Enterprise cost centers, company-wide budgets, agent policies, and audit logs give leaders control and accountability across every team.

Unlock the full agentic toolkit
Find out which agents need your code on GitHub, what that means for teams on ADO, GitLab, or Bitbucket, and how to bring every agent’s cost into one budget.
Top questions from the webinar
The questions teams are asking about Copilot usage, cost, and optimization.












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