As organisations look at where AI can have the biggest impact, processes like winning business and new clients are in focus because so they involve so much time and inputs from so many people. For many companies, responding to RFPs and questionnaires is a vital process – but also very inefficient, usually with a big ‘treasure hunt’ to find the right facts and case studies followed by time spent drafting and wordsmithing answers. No less than 9 people are involved in the average RFP, some of which are often the firm’s most senior and expensive staff.

When data and GPT models are integrated in the right way, this can be revolutionised. This session describes the technical implementation and business benefit for a globally renowned company and their 2500 RFP responses per year. Using technologies like Azure AI Foundry, Azure AI Search, Semantic Kernel, and agents, the solution performs advanced RAG (Retrieval Augmented Generation) to source the most relevant information, allowing employees to steer the AI precisely so answers are precisely articulated.

The session underlines how many high-value scenarios need developers to build tailored AI solutions using Azure AI – Microsoft 365 Copilot and Copilot Studio agents are powerful, but not the right tool for every use case. You’ll see the platform in action, learn from our mistakes, and gain insights to take into your own AI projects and solutions.