Real deployments. Real outcomes. See how CGI is making AI-assisted development deliver at scale.
Organizations across every industry are asking the same question: we've invested in AI tools, where are the results? GitHub Copilot licenses are purchased, pilots are launched, and yet most teams struggle to point to consistent, measurable outcomes. The gap between adoption and impact is real.
What unlocks success isn't the tool, it's what surrounds it. CGI's deployments across industries demonstrate that when AI-assisted development is embedded in disciplined delivery practices, it leads to faster release cycles, greater quality, scalable adoption, and results that leadership can see.
Watch this webinar to explore:
- How to integrate GitHub Copilot into complex, legacy modernization programs without disrupting critical operations
- What a production-grade AI-assisted SDLC actually looks like in manufacturing
- How to measure Copilot adoption and productivity and what good looks like for 200+ engineers
- Why adoption infrastructure matters more than the tool itself
- How CGI's Microsoft-aligned engineering practices accelerate time from implementation to release readiness
