Champion-Led Copilot and Security Enablement.
InfoMagnus trained 20 champions at a large healthcare insurance organization across GitHub Copilot and GitHub Advanced Security, establishing a scalable internal adoption model and a GHAS proof of concept to guide enterprise security investment decisions.
Enterprise GitHub Enablement & Security-First AI Adoption for a Large Healthcare Insurance Organization.
A large healthcare insurance organization seeking to scale AI-assisted development across its engineering teams while maintaining robust security practices engaged InfoMagnus. With growing development velocity and an expanding workforce, the organization needed a strategic approach to adopt GitHub Copilot at scale while evaluating advanced security capabilities.
Business Challenge.
The organization faced three interconnected challenges. Scaling AI-assisted development securely required more than licensing — it demanded a structured enablement strategy ensuring developers could leverage AI productivity gains while maintaining secure coding practices. Without trained champions, AI tool adoption remains fragmented, so internal advocates were needed to model best practices, mentor peers, and drive sustained adoption. GitHub Advanced Security (GHAS) offered powerful capabilities for code scanning, secret management, and dependency analysis, but the organization needed validation that these tools would align with their security posture and development workflows.
Solution: Dual-Track Strategic Engagement.
GitHub Copilot Mini-Adoption.
Strategic planning workshops aligned stakeholders around Copilot goals, metrics, and prioritized use cases. InfoMagnus trained up to 20 champions through three instructor-led modules: Copilot Fundamentals covering core AI-assisted coding, best practices, and security considerations; Intermediate Use Case Training equipping champions to lead internal adoption by mapping Copilot capabilities to real development workflows; and Admin Enablement and Governance preparing champions to support platform administration and policy implementation. Hands-on engagement hours enabled champions to apply learning, refine use cases, and prepare for broader organizational rollout.
GitHub Advanced Security POC.
InfoMagnus collaborated with the organization to define GHAS success metrics and evaluation criteria, educated champions on code scanning, secret scanning, and dependency management capabilities, and established a POC environment to guide future security decisions.
How the Work Was Delivered.
The engagement began with stakeholder interviews to understand the organization’s development culture, security requirements, and strategic objectives. Planning workshops brought together technical leads, security teams, and executives to define clear success criteria and identify high-impact use cases. Throughout both engagements, InfoMagnus provided ongoing hands-on support — pairing with champions to implement use cases, troubleshoot adoption challenges, and refine governance approaches.
Outcomes & Impact.
- Champion-Led Internal Enablement: Twenty trained champions now serve as internal advocates, mentors, and subject matter experts, ensuring sustained peer-led adoption.
- Scalable Knowledge-Sharing Model: Champions are positioned to conduct internal workshops, mentor peers, and guide governance discussions — multiplying the impact of the initial investment.
- Strategic Use Cases Defined: The organization now has a prioritized roadmap of Copilot and GHAS use cases aligned to business objectives, enabling focused rollout and measurable impact.
- GHAS POC to Guide Future Decisions: A small, controlled POC gives the organization hands-on experience with GHAS scanning, secret detection, and dependency management — providing data to make informed long-term security investment decisions.
What This Engagement Proves About Enterprise AI Adoption.
AI adoption at enterprise scale requires more than tool deployment — it demands strategic planning, trained internal advocates, and a culture that balances productivity with security. Champion models create sustainable adoption by embedding expertise within the organization, reducing dependence on external consulting. Security evaluation through POCs enables confident, informed decision-making based on real experience, not assumptions. The organization is now positioned to scale secure, AI-assisted development across its engineering teams with internal champions leading adoption and governance supporting both innovation and risk management.
