AI Enables Cross-Language Development for Global Life Sciences Consultancy Firm
About the Client
A global consulting firm that delivers in-depth analytics and market research to businesses in the life sciences industry. In addition to consulting, they offer a range of modular technology solutions that enable life sciences firms to leverage AI throughout their commercial lifecycle.
- Industry: Technology
- Platforms: Microsoft Azure
The Challenge
The client, being a major provider of technology solutions, wanted to integrate AI into their development lifecycle to save on effort, overhead costs, and enable faster releases. They needed additional expertise in order to implement features such as AI search, impersonation, document intelligence, and intelligent automation. Due to the nature of the client’s services, high-quality security would be essential for handling complex user stories and sensitive customer data.
Additionally, the client wanted to enable cross-language capabilities to further enhance their internal team’s capabilities. This would streamline development across multiple environments, and, in this case, eliminate the need for a dedicated Python developer.
Our Solution
AI Model Selection
Our team recommended GitHub Copilot as a development assistant. This model was chosen due to its high compatibility with the client’s environment, as well as cross-language support and advanced pattern recognition for refactoring code, writing new scripts, and implementing advanced features.
GitHub Copilot Implementation
GitHub Copilot was then integrated into the development environment with the .NET Core backend, Web API services, and React JS frontend. Our team assisted with internal adoption by training the client’s team on Github’s uses and features, which would greatly accelerate the implementation of new features and projects going forward.
User Story Planning
Copilot significantly simplified user planning, breaking down complex requirements automatically into actionable tasks the team could implement. It was also able to generate development roadmaps and strategies, allowing the team to achieve a 40-50% time reduction overall, even with manual intervention.
Azure AI Semantic Search
Azure AI Semantic Search was implemented through Github as a core feature of the portal, enabling advanced document search capabilities across client blob storage. Our team also configured and customized the specific document types and search patterns, including integration with blob storage and client-specific data structures.
Impersonation
Our team, through Github Copilot, also implemented an impersonation feature into the client’s development lifecycle. Impersonation enables authorized users to view or act as another user in the system, a feature that is particularly useful for troubleshooting, support, and testing.
Cross Language Development
A C# developer successfully leveraged AI translation to write Python-based database migration scripts. This demonstrated how the team is no longer limited by primary language expertise, which allows for cross-technology contributions and saves significantly on overhead development costs in the long term.
Technologies Used
Our software architects and engineers are experts in using the latest technologies.
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.NET Core
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Web API
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React JS
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Microsoft Azure
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Azure Blob Storage
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Azure AI Semantic Search
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C#
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Python
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GitHub Copilot
Business Impact
We delivered a tailored AI-accelerated development workflow for our client, leading to significant time savings and long-term benefits.
30-60% time savings across multiple development processes
Enabled cross-language development
Here’s how we did it
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AI-Driven Development
GitHub Copilot helped cut 40-50% of time spent on user story planning, in addition to 50% for the AI Semantic Search implementation.
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Continuous Improvement
Model-driven development, combined with AI assistance, enables the team to greatly simplify code refactoring and keep a clean, maintainable codebase.
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Enhanced QA Process
The client’s team can proactively solve issues through automated detection of bugs, spelling mistakes, and null checks.
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Business Agility
AI-assisted development will enable rapid adaptation to customer needs and provides a clear competitive advantage.
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