AI-Driven Approach to Customer Memo Analysis via Azure OpenAI
Client Organization
The client is a US-based specialty finance company that manages a high volume of customer interactions through call notes and internal memos. These memos capture payment discussions, customer concerns, promises, and agent observations. Over time, this unstructured data grew into a large but underused asset. Leadership knew the answers were buried inside the data—but accessing them manually was slow, inconsistent, and expensive.
Project Brief
The client approached our team with a clear business question: “We have thousands of customer memos. Can we turn them into insights our teams can actually use?”
The goal was not experimentation or AI for novelty. The goal was practical intelligence—something their risk, collections, and operations leaders could trust and act on. The project focused on using Azure OpenAI to analyze unstructured memo data and convert it into structured, decision-ready intelligence at scale.