Rovo drives a new era for conversational AI

This post details recent improvements to Rovo Chat, enhancing its intelligence and usefulness by deepening the integration with Atlassian's Teamwork Graph. Key technical advancements include: 1. Intent Routing: Rovo now intelligently analyzes prompts to determine if a quick search or a deep graph query is needed, based on whether the prompt references work, teams, goals, and projects. This ensures efficient retrieval of relevant information. 2. Designed to prompt clarity: Rovo asks clarifying questions for ambiguous prompts (e.g., multiple people with the same name) to ensure accurate answers. It then fetches data from the Teamwork Graph and delivers detailed, context-rich answers with links, metrics, and next steps. 3. Personalized Summaries: Rovo can now generate personalized summaries of missed updates or work done, filtering out noise and highlighting important information grouped by team or project. These improvements have led to a 29% higher satisfaction rating in blind human evaluations.