Day: October 10, 2025

Introduction At Javra, innovation is more than a goal — it’s part of our culture.Our R&D team continuously explores how emerging technologies can enhance productivity, automate routine tasks, and simplify how teams work. One of our latest achievements is the creation of an AI-powered chatbot integrated within Microsoft Teams — designed to make daily work management faster, smarter, and more seamless. Why We Built It In a world where collaboration happens largely in Microsoft Teams, switching between multiple apps for simple tasks can disrupt focus and efficiency. Our goal was to bring intelligent assistance directly inside Teams, allowing employees to perform key actions — like logging, reviewing, and tracking work — without leaving their workspace. We envisioned a smart, conversational assistant that understands intent, guides decisions, and automates repetitive workflows. Behind the Scenes: How We Built the Chatbot Developing the chatbot required integrating multiple Microsoft and AI technologies to ensure reliability, scalability, and an intuitive experience. 1. Azure Bot Service + App Service Hosted and managed through Microsoft Azure App Service, the chatbot ensures enterprise-grade scalability, reliability, and security — providing a solid foundation for continuous improvements. 2. Microsoft Teams Custom App Integrated as a custom Teams application, employees can chat with the bot directly in their existing workspace.From quick entries to fetching data, everything happens inside Teams — no context switching. 3. Microsoft Graph API Using Microsoft Graph API, the chatbot retrieves user details, enforces permissions, and supports role-based operations like delegated approvals or team-wide actions.This makes the chatbot deeply integrated and context-aware within the Microsoft environment. Adding Intelligence with OpenAI To make the chatbot truly smart, our R&D team integrated OpenAI’s SDK with Function Calling and Structured Output. This allows the chatbot to: In essence, it doesn’t just follow commands — it thinks along with the user. Interactive Experiences with Adaptive Cards The chatbot’s user interface is powered by Microsoft Adaptive Cards, allowing dynamic, form-like interactions directly inside Teams. Users can: This ensures a clean, consistent experience across all devices. Secure and Role-Based Access Security is embedded at every level.With token-based authentication and role-based authorization, users only access data relevant to their role. This ensures strong data governance while enabling flexible collaboration. Integration with Internal APIs The chatbot connects seamlessly with internal APIs to: This architecture ensures the chatbot remains modular, extensible, and reliable. Our Learning During development, the team faced a limitation with real-time interactivity in Adaptive Cards — where one field’s value can’t dynamically update another’s in real-time. Despite this, creative design and workflow logic helped maintain smooth usability while staying within Microsoft Teams’ framework limitations. What’s Next Our R&D team is already exploring enhancements such as: Each iteration brings the chatbot closer to becoming a fully intelligent digital assistant. Conclusion The development of our AI-powered Teams chatbot marks a major step in Javra’s journey toward AI-driven workflow automation. By embedding smart assistance directly into Microsoft Teams, we’re transforming how people interact with data — making daily work simpler, faster, and smarter. This project perfectly reflects our R&D mission: “To experiment, innovate, and turn emerging technologies into practical solutions that empower teams and businesses.” About Javra’s R&D Team Javra’s R&D team leads the company’s innovation efforts — exploring AI, machine learning, automation, and cloud technologies.Their work transforms ideas into real-world tools that improve productivity, collaboration, and efficiency across all levels of the organization.