Integrating AIaaS into Existing Systems: The Gokind Experience

In this research paper, we present the results of our collaborative study with Gokind AB on the integration of artificial intelligence as a service into an existing system. Initially, we conducted a comprehensive review of existing research to understand current architectural integration techniques and ensure alignment with best practices. Building on these insights, we designed an integration architecture that emphasizes functional suitability and interoperability. The practical implications of our research are demonstrated through the implementation of this architecture within the Gokind platform. This implementation resulted in notable improvements, including accelerated processing times, enhanced scalability, and efficient resource allocation. Our study also highlights areas for potential enhancement, advocating for ongoing refinements such as variance analysis across artificial intelligence as a service classes, comparative assessments among providers, strengthened security measures, and a comprehensive exploration of the impact of architectural attributes.