Network configurations, especially for routers like Cisco, Huawei, and Mikrotik, are often complex, even for experienced IT professionals. Many existing tools are not user-friendly, leaving users dependent on resources like ChatGPT and YouTube tutorials, which can be time-consuming and inefficient. This complexity creates a barrier for small and medium-sized businesses that may not have dedicated IT teams. ConfigPilot addresses this problem by providing an AI-powered web and mobile application that simplifies router setup, automates troubleshooting, and offers secure remote management. Using Meta's Llama 3.2 model, the app intelligently configures devices, detects and resolves issues according to the user queries, and enhances user control over their network infrastructure. This reduces the need for manual intervention and minimizes human error, making network management more efficient. As businesses increasingly seek automated solutions, ConfigPilot taps into a growing market, especially among smaller enterprises. Our future goals include integrating outage prediction capabilities, switch and server configurations enabling users to prepare for or prevent network disruptions, further enhancing reliability. In conclusion, ConfigPilot simplifies router configuration and offers a scalable solution with significant business potential. The app paves the way for more efficient network management, addressing current challenges and future needs in the industry.