AI Change Request Assistant
Mastering complexity: How intelligent automation transforms Change Request management in the automotive industry.
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The project at a glance
Accelerate innovation by streamlining change control and getting new features on the road faster.
The challenge
Seamless, reliable Change and Pull Request management
In the software development department of a global automotive group, countless Change Requests (CRs) are received daily - from updates to driver assistance systems and critical infotainment patches to regulatory adjustments and region-specific requirements.
Each Change Request results after review and processual alignment, in a technical solution, submitted as a Pull Request (PR) containing the modified or new code. Until recently, this process was handled manually: gathering background information, comparing software versions, and coordinating across departments consumed valuable time and introduced potential for error - slowing progress and diverting resources from innovation.
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The solution
AI-powered creation for faster results
Imagine an expert colleague who instantly combs through Confluence, GitHub, ServiceNow, and other data sources, gathers all relevant information, and produces complete, ready-to-review Change and Pull Request drafts. That's exactly what the AI Change Request Assistant - developed by Riverland Reply in collaboration with the automotive group - delivers. Team members interact with the assistant via simple text input, while AI automates the entire change process. The result: no more tedious research, fewer errors, and more time for teams to focus on breakthrough innovations.
The core of the solution
A sophisticated collaboration
The AI Change Request Assistant is a multi-agent system where specialized AI agents work together seamlessly. Each agent plays a specific role:
Search Agent
identifies relevant content across platforms such as Confluence, GitHub, and ServiceNow.
Drafting Agent
creates structured change request proposals based on templates and user prompts.
Integration Agent
automatically reconciles information between relevant systems.
Coordinator Agent
ensures smooth collaboration - handling error detection, prioritization, and response composition.
The technology behind it
Easily integrated and always up to date
State-of-the-art Retrieval-Augmented Generation (RAG) technology ensures that only reliable information from relevant sources is used. The containerized architecture allows for flexible integration into existing IT environments. Regular updates keep the knowledge base current and provide developers at the automotive group with dependable, real-time support.
The result
Change management redefined:
Faster, safer, smarter
The AI Change Request Assistant delivers tangible, measurable improvements. A powerful step forward for efficient, scalable, and future-ready Change Request management – driving digital transformation in the automotive industry.
Riverland Reply is specialized in consulting end-to-end customer-oriented solutions and strategies. In addition, Riverland Reply supports its customers in strategic IT decisions, implementation of defined solutions and production execution. The company combines in-depth knowledge of digital Customer Experience with the full potential of cloud native technologies. This expertise allows Riverland Reply to remove the barriers between a product-based technology and a full custom implementation. Knowing that Customer Experience in the digital era must be highly flexible to be adapted to different industries, Riverland Reply advises clients in automotive, transportation, logistics and finance industry. The strong partnership and close collaboration with Oracle made Riverland Reply the experts of Oracle’s Customer Experience products.