Many companies are already exploring what AI can do for them. We observe a rise of GenAI uses cases that automate the process of extracting information from documents, know as document intelligence. When it comes to document intelligence, companies often turn to methods such as Retrieval Augmented Generation (RAG) to pull insights from documents. Discussions on RAG often overshadow other aspects of the process. Recently, we had the chance to push the boundaries of Document AI to automate a labor-intensive manual process. Here is what we learned.

The IT industry is in the midst of a transformation that goes far deeper than productivity gains from AI tools. Our latest research, published in MIS Quarterly Executive, reveals that the very nature of value creation in IT development is shifting – from engineering execution to strategic composition.

Netlight developed a production-ready, multilingual chatbot by aligning technological innovation with the client's premium brand objectives through applying CIRCLES, a collaborative requirements framework. We implemented serverless Agentic Systems combined with Google Cloud AI to ensure scalability across global markets. The solution architecture automated customer support in multiple languages whilst maintaining the client's premium service standards. Our approach delivered immediate functionality and long-term competitive advantage through cutting-edge AI technology.