Case Study | GitHub Copilot Integration in a PE-Backed Software Firm

Functional Topic

GitHub Copilot Integration – Artificial Intelligence

Project Industry

Digital Agency / Software Development

Needed Support

Artificial Intelligence Consultant

Duration

1 Month

The Challenge

A private equity-backed software development company based in the MENA region needed expert support to launch a strategic pilot for GitHub Copilot integration across its engineering teams. With a globally distributed team of over 1,500 engineers, the client aimed to evaluate how Copilot could improve developer efficiency and code quality across multiple agile squads.

The company wanted to run a controlled rollout and required clear metrics to determine productivity gains and team adoption levels. However, internal expertise around integrating and scaling AI developer tools was limited, and coordination between technical leadership in Europe and operational teams in Asia posed additional complexity.

Key challenges included:

Lack of in-house experience with GitHub Copilot integration and usage.
The need for hands-on technical leadership to guide adoption and usage across teams.
Ensuring a scalable approach that aligned with existing engineering workflows and DevOps infrastructure.

To address these challenges, the company was searching for a consultant with a strong track record in AI developer tools, experience managing large engineering teams, and the ability to lead the technical rollout of GitHub Copilot.

Role of Consultport

To manage the project, the client engaged Consultport, asking for an experienced AI consultant to drive the rollout. To meet the client’s needs, Consultport quickly sourced and delivered a shortlist of highly qualified candidates. The selected Consultant brought:

Proven success integrating GitHub Copilot and similar tools in enterprise settings
Over 12 years of engineering leadership experience, including CTO roles
Prior involvement with similar rollouts at a leading European SaaS provider

The consultant’s deep technical knowledge and practical leadership experience made them the ideal fit to lead the Copilot pilot program and ensure cross-functional alignment.

The Approach

The consultant approach to the GitHub Copilot integration focused on four key areas:

Pilot Planning and Execution

Designed a structured pilot involving 20–30 engineers to assess Copilot’s impact on development speed and code quality
Set clear KPIs, including code suggestion adoption rate, time saved, and feedback from developers

Team Enablement

Trained engineering managers and team leads on how to drive GitHub Copilot implementation effectively
Developed internal best practices and usage guidelines for the pilot group

GitHub Copilot Integration into existing processes

Seamlessly integrated Copilot into the company’s existing development and DevOps environment
Addressed version control, data privacy, and tool governance as part of the rollout

Stakeholder Communication

Maintained regular updates with the leadership team and PE stakeholders
Delivered a post-pilot assessment with recommendations for broader rollout

The Results

The consultant’s leadership in the GitHub Copilot integration project produced tangible outcomes:

Successful Pilot Completion

The rollout was completed within one month, with strong buy-in and active usage among the pilot group.

Boost in Developer Efficiency

The engineering team reported measurable time savings, improved code consistency, and increased satisfaction with their workflow.

Clear Path to Scale

The company received a proven playbook to extend GitHub Copilot usage across the entire engineering organization, supported by best practices and KPIs.