Category:
Nextjs full stack
Client:
Company
Duration:
10 weeks
Qtee.ai is an AI-driven platform designed to automate call summaries for sales and support teams. The platform leverages advanced AI models to generate detailed call audits, helping companies improve quality assurance and reduce manual work. By streamlining the call auditing process, Qtee.ai enhances service standards and significantly cuts down on the time needed to review calls.
(MY APPROACAH)
The approach was centered around full-stack development using Next.js for the frontend and the LangChain library for AI integration. I designed an efficient, scalable architecture that seamlessly integrates AI-driven call audits. I incorporated real-time capabilities using Socket.IO to ensure smooth, uninterrupted communication between users and the platform.
(VISION & INNOVATION)
The vision behind Qtee.ai is to revolutionize the way businesses handle call summaries and audits by making the process automated, accurate, and user-friendly. By minimizing human error and maximizing efficiency, Qtee.ai aims to become a go-to tool for companies looking to improve their customer support and sales processes.
(CHALLENGES)
One of the key challenges was ensuring the AI-generated call summaries were both accurate and contextually relevant. Additionally, managing the real-time performance of the platform while maintaining high scalability posed a significant technical hurdle, especially when handling large volumes of data.
(PROBLEMS)
Traditional call auditing processes are time-consuming and prone to errors. Companies often face challenges in maintaining consistent quality assurance across large teams. The manual nature of these processes also leads to inefficiencies, which Qtee.ai addresses by automating the entire workflow, saving both time and resources.
(USER-CENTRIC DESIGN)
The platform was built with a focus on user-centric design, prioritizing ease of use and efficiency. The interface is intuitive and allows users to quickly access and manage their call summaries, with clear visual cues and minimal steps required to complete tasks.
(USER NEEDS)
The primary need was to create a solution for sales and support teams that could automate call summaries and audits, ensuring accuracy while saving time. Users needed a platform that would help them quickly identify important insights from calls without the tedious manual process, enabling them to focus on more strategic tasks.
