RuneLab assisted in the development of the Minerva CQ project, an artificial intelligence-based platform designed to support agents in customer service for electric vehicles. The solution combines predictive algorithms, system integrations, and DevOps optimization through Kubernetes, ensuring scalability, reliability, and simplified management of the cloud infrastructure.
case-studies
Project Minerva: Support Agent Assistance via Phone
Approach and methodology
The project involved collaborating on the development of Minerva CQ, an artificial intelligence-based customer support platform for electric vehicles. Our work focused on three main areas: the development of predictive algorithms, system integrations, and DevOps optimization through Kubernetes. These efforts made the platform more scalable and reliable, ensuring continuous, uninterrupted operations. The adoption of advanced DevOps practices enabled continuous deployment, simplifying cloud infrastructure management and reducing the time required to release new features. The platform effectively supports agents in handling customer interactions, enhancing speed, accuracy, and overall service quality.
We actively supported the project development by working on predictive algorithms, system integrations, and DevOps optimization with Kubernetes. These efforts made the platform more scalable, improved overall operational reliability, ensured continuous deployment, and simplified the management of the cloud infrastructure.
Staff involved in the project
9
Specialists
Execution time
2
Years
Technologies used
- Amazon EKS
- Amazon Web Services (AWS)
- AWS Lambda
- Go
- Python
100
%
Infrastructure hardening e automation
Integration with telephony platforms
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