Webinar
June 23 & July 16
10:00 EST / 15:00 BST
Optimize GitHub Copilot Token Costs & Boost Productivity
A practical webinar for technology and finance leaders managing AI coding costs and engineering productivity.
Manage AI tooling costs
Guide AI adoption
Drive measurable engineering impact
Hosted by


Who this webinar is for
Why this webinar?
GitHub Copilot’s move to usage-based billing changes how enterprises manage AI-assisted engineering. As token consumption becomes tied to cost, teams need to understand usage, choose the right models, and adopt better workflows that reduce waste without slowing developers down.

Control AI coding costs
Understand how token usage, model selection, and agentic workflows affect spend, and where teams can reduce waste without slowing development.

Improve developer productivity
Identify practical ways engineering teams can use AI coding agents for debugging, refactoring, documentation, testing, and workflow automation.

Connect AI usage to business impact
Move beyond seat adoption and tool usage to understand whether AI is actually improving engineering velocity, quality, and delivery outcomes.

Prepare teams for agentic development
See why the next phase of AI-assisted engineering requires both capability and capacity: teams that know how to use the tools well, and talent that can help scale AI-enabled delivery.
Turning GitHub adoption into engineering impact
GitHub gives enterprises the platform for AI-assisted engineering; Andela helps turn that investment into measurable impact. As an official GitHub partner, Andela pairs GitHub’s tools with the talent, training, and delivery support teams need to drive adoption, modernize workflows, and move faster from license to ROI.
Drive Copilot adoption org-wide
Turn seats into daily usage and measurable productivity.
Embed GitHub-Copilot-fluent engineers
Add trained, assessed tech talent ready to ship in AI environments.
Modernize through assessment-led migrations
Upgrade your platform with security, continuity, and ROI built in.










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