Support teams often struggle to manage increasing customer queries, leading to delayed responses and incorrect issue resolutions. IBM Diagnostics Gen AI Assistant addresses this challenge by automating troubleshooting processes, enabling faster and more accurate solutions. The system analyzes queries, identifies root causes, and suggests solutions, reducing manual intervention and increasing efficiency. This automation allows support teams to handle larger volumes of issues, scale operations, and improve overall response times. Ultimately, IBM's AI Assistant enhances customer satisfaction by ensuring issues are resolved quickly and correctly, leading to a more streamlined and effective support experience.
The lack of user-friendly tools creates barriers to independent citizen to access services on their own, leading to increasing administrative burdens and costs. We propose a Gen AI-powered platform using Grok models to simplify navigation and automate tasks on government websites. This empowers citizens to access services independently, reducing reliance on personnel and enhancing accessibility. User initiates a query with website and information request. Gen AI agent processes the request and accesses the target website in front of user and provide the screenshot of their flow to reach Target state. Gen AI extracts relevant data and generates a concise and understandable response about the given website