How is the developer experience changing in the age of AI? Learn from the experiences of using AI in Dynamics 365 development and services.
We at Tietoevry Tech Services have added AI elements to code reviews, builds and deployments, as well as user support and innovation. And we're excited about the significant value this is bringing to our customers.
Generative AI represents a quantum leap in development efficiency and accuracy. By utilizing tools such as Dynamics 365 Copilot and GitHub Copilot, we enable several advanced features that transform the coding environment into a highly intuitive and efficient workspace.
GenAI accelerates the first code iteration process by providing auto-generated code samples, inline code recommendations, optimization tips, and even error correction suggestions in real time. Developers no longer need to delve into endless lines of documentation or stack overflow threads; instead, they receive contextual, AI-driven recommendations that understand existing code architectures and suggest improvements.
The customer value is evident. Developers can focus more on critical thinking and problem solving instead of getting bogged down in repetitive tasks. Error-free coding is achieved much faster, reducing time-to-market and improving overall code quality. In addition, AI tools continuously analyze the code to provide real-time suggestions that further improve performance. Coupled with automated unit tests and comprehensive documentation generation, developers can ensure robust and well-documented code, enhancing reliability and productivity.
When it comes to builds and deployments, AI has proven to be an invaluable tool. AI helps generate necessary code snippets and scripts, streamlining the build and deployment phases. In addition, AI identifies potential problems in Continuous Integration and Continuous Deployment (CI/CD) pipelines and suggests improvements to maintain smooth operations. It detects errors in the build process, provides resolutions, and analyzes performance to identify bottlenecks and recommend optimizations. AI also ensures thorough documentation and reporting for each build and deployment, providing transparency. In addition, AI anticipates potential deployment issues and suggests preventative measures to reduce downtime.
"Implementing AI into the build and deployment processes has allowed us to significantly speed up our development by automating repetitive tasks and streamlining processes such as code review and defect detection, while improving collaboration between teams with real-time updates and recommendations. It has really accelerated our timelines, especially when it comes to the most complex, large-scale deployments."
Kiran Vaswani, Lead Enterprise Architect, Tietoevry Tech Services
User support is another area where AI in Dynamics 365 brings significant enhancements. Our AI-driven workflow allows AI to be the first responder, examining case details to deliver precise responses by drawing from the knowledge base and case history. It suggests relevant past cases and knowledge articles. Through continuous learning, powered by machine learning algorithms, AI continuously improves its recommendations and generates concise summaries that provide quick, relevant insights. The real-time assistance provided by AI speeds up resolution times and enhances response efficiency.
"These AI-driven support enhancements have greatly increased our efficiency, accuracy and consistency, and significantly improved the overall customer experience. AI has enabled us to deliver much faster resolutions to customer queries, streamline training processes, and significantly accelerate the creation and review of support and FAQ documentation."
Daiga Gerasimova, Lead Continuous Service Manager, Tietoevry Tech Services
The benefits of AI integration can be seen across multiple roles within an organization. For development teams, AI-driven automation of code generation and error detection allows developers to focus on strategic tasks. Operations teams benefit from AI's optimization of CI/CD pipelines and predictive maintenance, ensuring smooth and reliable deployments. Project managers gain critical insights from AI-generated documentation and reporting, helping to track projects and maintain transparency.
Through AI-driven code development, optimized builds and deployments, and advanced user support, we enable our clients to achieve greater efficiency, improved accuracy, enhanced collaboration, and scalable operations. As AI continues to evolve, Tietoevry Tech Services remains committed to exploring its potential to ensure our customers stay ahead in the digital race.
In the pursuit of innovation and excellence, our embrace of AI across our services underscores our mission to deliver unparalleled value to our customers and drive their success in an increasingly competitive landscape.
Kiran is a Lead Enterprise Architect with deep expertise in Microsoft Dynamics 365 (D365). He excels at designing and implementing customized D365 solutions that optimize business operations and drive strategic outcomes. With a focus on leveraging AI and cloud technologies, Kiran ensures that organizations achieve seamless integration, scalability, and enhanced customer engagement. His ability to align D365 with business objectives ensures that organizations achieve successful digital transformation and sustained long-term growth.
Alekss Levsunovs is a technology specialist who leverages his extensive experience with modern technologies to improve business and operational performance in Dynamics 365 projects. Alekss is particularly adept at embedding AI into existing workflows, as demonstrated by his work on numerous education projects, where he has delivered actionable insights and transformative impact for educators and administrators alike.