At its core, Charlie is powered by a sophisticated system that integrates natural language processing (NLP), retrieval-augmented generation, and actionable capabilities.
Here’s how it works:
Charlie ingests diverse knowledge sources, including enterprise application data, internal knowledge bases, and public information, creating a rich repository of information. When a user poses a query, Charlie’s Orchestrator processes it using NLP to understand the intent. This ensures the response isn’t just relevant but also deeply contextualized to the query.
Beyond delivering answers, Charlie features a Skills Manager that allows it to execute specific tasks such as creating tickets, initiating workflows, or automating routine actions. This functionality makes Charlie more than an information assistant—it’s a proactive tool for driving efficiency.
The user interaction layer provides an intuitive interface for seamless engagement. While currently integrated with Microsoft Teams, a customizable web application is in the making to further enhance the user experience.