Company overview
A global leader in professional information, software, and services across industries such as healthcare, tax and accounting, governance, risk and compliance, and legal. The organization is deeply committed to digital transformation and continuously seeks innovative ways to empower its workforce and simplify operations.
Business challenge
The company set out to integrate AI tools into its software development lifecycle with three primary goals:
· Lower operational costs by automating repetitive coding and testing tasks
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Modernize legacy systems for better scalability and user experience
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Accelerate feature delivery to customers
Despite having access to tools like GitHub Copilot and M365 Copilot, adoption was inconsistent. Developers lacked practical experience, and many testing processes still relied on manual effort. To unlock the full value of AI in engineering, the company needed a structured, enterprise-wide approach.
The journey to AI-driven transformation
Phase 1: Building awareness and skills
The journey began with a simple question: Could GitHub Copilot really help developers write better code faster? To answer this, capability sessions and hands-on hackathons were organized. Developers experimented with Copilot to:
· Automatically generate code comments and method summaries
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Create product backlogs with epics, features, and user stories
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Scaffold UI components and APIs for rapid prototyping
These sessions helped build confidence and excitement, positioning Copilot as a true coding partner.
Phase 2: Proving value through a pilot
A pilot program measured real impact in high-value scenarios:
· Development Support: Intelligent code suggestions and syntax fixes reduced coding time by ~40%
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Test Automation: Automated unit and integration tests improved coverage and cut QA delays by ~50%
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Performance Testing: Early detection of performance issues shortened validation cycles by ~40%
The pilot demonstrated measurable gains in productivity, quality, and developer satisfaction.
Phase 3: Scaling across teams
Encouraged by early results, the company expanded GitHub Copilot adoption across engineering groups. Key initiatives included:
· Integrating Copilot into CI/CD workflows to speed up releases by ~30%
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Refactoring legacy UIs into modern frameworks like React and Angular, reducing migration time by ~60%
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Automating infrastructure validation for cloud deployments, cutting setup time by ~50%
Phase 4: Establishing a Center of Excellence
To sustain momentum, a Center of Excellence (CoE) was created for GitHub Copilot, featuring:
· Best-practice playbooks and success stories
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Training modules for new users
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Dashboards to track adoption and usage
This initiative fostered a culture of innovation and continuous improvement.
Business Impact
Integrating AI tools supported the following outcomes:
· Delivery time reduced by ~70% due to rapid prototyping
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Code refactoring time reduced by ~55% after optimizing legacy code
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Compliance support effort decreased by ~45% by automating audit logs and documentation
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Security incidents decreased by ~30%
Accelerators and tools
Successful adoption included enablement assets such as:
· GitHub Copilot onboarding frameworks
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Hackathon toolkits with ready-to-use templates
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Usage dashboards for productivity tracking
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Playwright automation suites for UI testing
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CoE playbooks for scaling best practices
Looking ahead
The company plans to extend GitHub Copilot beyond engineering to roles such as QA and business analysis. It is also exploring Copilot Studio for custom agent development and Microsoft Fabric to unify analytics across product and engineering teams.
Conclusion
By embedding AI tools like GitHub Copilot into daily workflows, the organization has made coding faster, testing smarter, and modernization simpler, building a more agile and innovative engineering culture.
Ready to lead with AI?
At MAQ Software, our mission is simple: scale AI for every developer and every customer. We partner with enterprises across retail, technology, manufacturing, and beyond to implement AI-first strategies to drive measurable business outcomes.
The future of AI is here—let’s build it together. Contact CustomerSuccess@MAQSoftware.com to get started today.