How a Global Enterprise Turned AI Curiosity into Everyday Productivity
A practical summer learning project helped employees move from learning about GitHub Copilot CLI to using it in their daily work.
Employees knew AI could make their work easier, but adoption lagged because no one showed them how it fit into their day-to-day work. This business intelligence and enablement team saw the gap early. Their summer project focused on peer learning and building confidence, so people across business intelligence, operations, reporting, and program management could finally put AI to work in real ways.
The Challenge
The team knew GitHub Copilot CLI could help their employees analyze data, automate reporting, create dashboards, prepare presentations, and cut down on routine work. But most folks weren’t comfortable with command-line tools. The command-line interface (CLI) and PowerShell-style environment felt technical and unfamiliar, especially for those who weren’t developers. The product documentation explained what the tool could do, but not how they could apply it to their own tasks.
With employees spread across regions and working in different roles and at different experience levels, the learning experience had to be flexible, easy to access, and always evolving, especially to capture new use cases that could benefit the wider community.
Why We Were Selected
Before the summer learning project, we worked closely with this team and built over 60 tutorials, scripts, process guides, and enablement assets for the client. That hands-on experience gave us a clear sense of their culture, how they work, and what they need to learn.
We brought practical know-how in instructional design, change communications, video production, and Microsoft Copilot tools. Our team understood the team’s reporting and business intelligence workflows and could work directly with stakeholders and employee presenters.
Because we already had strong relationships and domain knowledge, we could focus on real business scenarios rather than generic product training.
The Solution
We teamed up with the client to launch a summer learning program that mixed bite-sized tutorials, live demonstrations, hands-on exercises, peer learning, and a growing Resource Hub. The approach was simple: combine self-paced learning with live practice and peer demos.
Build confidence and establish the foundation.
We began with short, self-paced tutorials covering access and setup, sessions and files, effective prompting, and responsible-use practices. Guided exercises let employees learn by doing.
Connect learning to real business work.
In live summer sessions, employees demonstrated solutions they built with GitHub Copilot CLI. Examples included recurring report preparation, dashboard and HTML report creation, customer feedback analysis, meeting preparation, work-item auditing, data-quality reviews, Power BI connections, and workflow extensions using Model Context Protocol connections and reusable skills.
Create a reusable Resource Hub.
We turned live recordings into focused lessons and added to a centralized Resource Hub. Each lesson combined a practical demonstration with a “Try It” exercise. The Hub also provided setup guidance, FAQs, progress tracking, feedback collection, and ways for the community to participate.
Employees could learn at their own pace and return whenever they needed support. As new use cases emerged, the content was updated, and successful employee solutions became learning resources for others.
Early sessions focused heavily on helping employees install and get started with the tool. Later sessions featured participants demonstrating increasingly sophisticated workflows and helping their colleagues learn.
As one participant put it, seeing how other users worked with the CLI was “incredibly insightful.” Another noted the value of seeing “the practical way others are using it.”
The Result
The program quickly showed strong signs of adoption and value. The blended approach turned uncertainty into confidence and early interest into everyday use.
We had 100 participants in the learning program. In an anonymous pulse survey, respondents indicated:
- 4.5 out of 5 average value rating
- 84% rated the program a 4 or 5
- 79% reported using GitHub Copilot CLI weekly or daily
- 53% reported using it every day
Participants pointed to learning and practical usefulness as the program’s clearest strengths. They reported learning how to connect Copilot to real data, extend workflows through Model Context Protocol connections, and apply ideas from peer demonstrations to their own work.
Beyond the survey metrics, the program created a foundation for continued enablement. It lowered the barrier to using a technical productivity tool, created a central source for learning and support, increased visibility into practical use cases, and turned successful employee solutions into reusable resources.
Most importantly, the program demonstrated a shift in the adoption journey: an employee who initially resisted learning the tool because it seemed too technical eventually became a confident user and peer demonstrator, sharing best practices and advanced workflows with the wider community.
When employees are shown how AI can make their everyday work easier, adoption is a natural next step. We helped employees connect GitHub Copilot CLI to the work they already do, learn from colleagues, and build confidence through practice.
Katey Maplethorpe, Program Manager, Power BI
Next Steps
The next phase will build on participant feedback and keep hands-on practice at the center of the experience. Deeper data and Model Context Protocol learning paths will be added with practical exercises, guidance, and collaboration. The Resource Hub will keep evolving so new use cases and successful employee solutions can be captured and shared across the community.
The broader lesson for all businesses is straightforward: successful AI adoption requires more than providing access to a tool. When employees have clear onboarding, relatable examples, opportunities to learn from peers, and a feedback loop that shapes what comes next, they are better positioned to build confidence and turn new technology into part of their everyday work.
If your business is struggling to move employees from curiosity about AI tools to active use in their daily tasks, contact us for help.