Webinar Controlling GitHub Copilot Spend Sept. 29, 2026 | 12 p.m. ET/9 a.m. PT
By Insight Editor / 3 Sep 2026 / Topics: Artificial Intelligence (AI) , Cloud
This is the first session in our six-part webinar series, GitHub AI in Practice: Strategies for Cost, Governance, and Scale.
GitHub Copilot is helping teams move faster, but changes to usage-based billing have created new questions around cost management, governance, and return on investment. As organizations expand AI-assisted development practices, understanding where costs originate and how to manage them effectively has become increasingly important.
Join Parker Johnston, agentic field CTO at Insight, and T.J. Corrigan, strategic cloud solutions engineer at GitHub, for a practical discussion on optimizing GitHub Copilot investments. You’ll learn how usage-based billing and AI Credits work, strategies for selecting the right models for the right tasks, and practical approaches for reducing unnecessary consumption while maintaining developer productivity.
During this session, we’ll cover:
- How GitHub Copilot usage-based billing and AI Credits work
- Model selection strategies that balance capability and cost
- Practical habits that help reduce unnecessary AI consumption
- Cost controls, budgeting, and usage visibility practices
- Ways to maximize AI value across engineering teams
Whether you’re evaluating GitHub Copilot adoption or looking to improve cost visibility across existing deployments, this session provides practical guidance for making more informed AI investment decisions.
Presented by:
Parker Johnston
Agentic Field CTO, Insight
Parker is an agentic field CTO within Insight's Microsoft solutions business line and an AI strategist who helps organizations design, implement, and scale enterprise technology solutions. During his 15-year career, he has led initiatives focused on enterprise modernizations, cloud uplifts, AI-driven transformations, and reimagination of critical systems. In his current role, Parker drives go-to-market strategies for technology solutions with an emphasis on AI, helping clients modernize legacy systems, automate software delivery, and realize measurable value. He works to ensure organizations are empowered to pursue transformation and growth without being limited by technology, providing a solid plan, trusted guidance, and an evolving roadmap that balances business priorities with technological advances.
T.J. Corrigan
Strategic Cloud Solutions Engineer, GitHub
T.J. Corrigan is a strategic cloud solutions engineer at GitHub with more than 10 years of experience in DevSecOps and platform engineering. He focuses on helping joint GitHub and Microsoft customers to improve developer productivity through modern cloud platforms, developer tooling, and AI.
