Copilot is only as effective as the teams and workflows around it
Enterprise leaders need to understand whether AI-assisted engineering is improving code quality, reducing rework, accelerating delivery, and helping teams build better software.
TEAM WORKSHOPS
Token Optimization Workshop
A hands-on workshop that helps engineers optimize Copilot decisions across models, context, prompts, agent modes, and cost — reducing avoidable usage without sacrificing quality.
Format:
- Live, hands-on
- Choice of 2 hrs, 4 hrs, or 6 hrs workshops
- Shared GitHub Codespaces environment
Outcomes:
- Reduce unnecessary context, prompting, and token usage
- Keep agentic workflows bounded and reviewable
- Connect developer behavior to credits, budgets, and team spend
LEARNING SOLUTIONS
Copilot Agentic Adoption Training
A two-week applied program that helps engineers build the judgment, confidence, and proficiency to use Copilot agents in everyday workflows.
Format:
- 2 Weeks
- Six progressive modules
- Live workshops, guided practice, and a real-world capstone
Outcomes:
- Build consistent agent use across everyday engineering work
- Apply agents to coding, debugging, delegation, and pull requests
- Demonstrate independent capability through a real-world capstone
AI SOLUTIONS
GitHub DevOps Migration
A migration service that uses AI-powered automation and certified DevOps expertise to move repositories, pipelines, and workflows to GitHub faster, with less risk.
Migration Solutions:
- Repositories only, repositories + pipelines, or full migration
- Approximately 4 weeks to 6+ months, depending on scope
- Scoping and audit, pilot wave, scaled delivery, and Copilot enablement
Outcomes:
- Move repositories, pipelines, and workflows to GitHub
- Accelerate migration with agentic automation & expert oversight
- Unlock GitHub Actions, Copilot, and broader enterprise capabilities
BLENDED TEAMS
GitHub Copilot-Fluent Engineering Capacity
Deploy assessed, trained engineers for modernization, DevOps, backlog, testing, documentation, and AI-assisted delivery—from targeted support to enterprise scale.
Engagement Types:
- Targeted Capacity: 1–2 engineers for focused delivery needs
- Dedicated Teams: Product, platform, or DevOps support
- Scaled Capacity: Large teams for major programs or transformations
Outcomes:
- Add Copilot-fluent capacity without a long hiring process
- Accelerate backlog, modernization, testing, and documentation
- Scale from individual specialists to enterprise programs
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