Medical Commercializer Achieved Nearly 1.4× Faster Feature Development Through AI Augmentation
About the Client
This technology-driven commercialization company accelerates the development, launch, and optimization of drugs and medical devices through analytics, data-driven insights, and expert-led strategies. They support over 300 biotech, medtech, and pharma enterprises in delivering revitalizing therapies for the betterment of human health.
- Industry: Technology
- Headquartered: Massachusetts, United States
- Platforms: NET Core, Azure, Blazor, R, Signal, and SQL
- Team Size: 2 Developers
The Challenge
The client aimed to enhance their existing medicine launch application with new features enabling business users to create and edit tasks, as well as design timelines for medical launches. However, limited engineering bandwidth and manual workflows made their development processes relatively slow. To accelerate feature creation and delivery, they sought additional support and modern tools.
Our Solution
An AI-driven approach was leveraged to augment development and accelerate feature delivery.
Developer Augmentation
Two experienced backend developers from our team were onboarded to assist the client’s IT workforce in creating new application features.
Feature Development
An approved AI tool, GitHub Copilot, was integrated into the development process by our team to streamline coding and reduce feature creation time.
Quality Assessment
GitHub Copilot was also utilized by our developers to automatically detect common pull request issues such as bugs and missing null checks during code reviews.
Technologies Used
Intelligent tools were incorporated by our experts to supercharge the overall development process.
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Blazor
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GitHub Copilot
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Google Analytics
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GitHub
Business Impact
By harnessing AI-enhanced development techniques and tools, our team delivered tangible results in significantly less time.
20–30% Faster Task Completion
40% Reduction in Manual Effort Per Feature
60–70% Code Replication Accuracy
Here’s how we did it
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Streamlined Workflows
Through AI-assisted practices for faster UI component ideation and exploration of technical approaches.
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Reduced Project Timelines
By leveraging advanced AI tools to optimize development and quality assurance processes.
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Improved Pull Request Quality
With automated mechanisms for issue detection and resolution.
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Enhanced Developer Experience
By onboarding an expert team that reduced cognitive load, allowing the client’s team to focus on strategic tasks.
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