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Custom AI Chatbot Solution for Enterprise Customer Support Optimization
  1. case
  2. Custom AI Chatbot Solution for Enterprise Customer Support Optimization

Custom AI Chatbot Solution for Enterprise Customer Support Optimization

altoroslabs.com
Telecommunications
Medical
Healthcare
Manufacturing
Retail

Challenges Faced by Enterprise Support Systems in a Global Telecommunications Context

The enterprise support system relies on an AI-powered chatbot that requires extensive customization to meet organizational-specific workflows and security standards. Key challenges include maintaining full control over authorization credentials due to security policies, ensuring compatibility with various web browsers with WebSocket connection limitations, delivering code uniformity for easier maintenance, and integrating with internal management systems to enhance task visibility. Additionally, there's a need to optimize search functionalities for extensive product portfolios and support multi-department support workflows simultaneously.

About the Client

A large-scale telecommunications provider delivering communication, conferencing, and customer support solutions globally, supporting multiple enterprise clients across diverse industries.

Goals for Developing a Customized AI Chatbot for Enterprise Customer Support

  • Enable secure, enterprise-controlled authorization mechanisms that hide credentials from external access.
  • Ensure seamless WebSocket communication compatibility across all major web browsers, including legacy and restricted environments.
  • Develop a standardized command-line interface to facilitate uniform code delivery and maintenance.
  • Integrate the chatbot with existing enterprise management systems (e.g., support ticketing platforms) to provide real-time task visibility and monitoring.
  • Enhance search algorithms to support precise and rapid retrieval from large, complex product or model catalogs, with response times under 3 seconds.
  • Implement multi-workflow support by deploying multiple chatbots on a single web page, each linked to a specific organizational department or process.

Core Functional System Features for Enterprise AI Support Chatbot

  • Secure authorization control with enterprise-specific credentials managed via cloud API Gateway.
  • WebSocket connection management for broad browser compatibility, including legacy browsers with WebSocket connection limitations.
  • A custom command-line interface for uniform code development, deployment, and maintenance.
  • Integration capabilities with internal support systems such as ticket management or task tracking platforms.
  • Advanced search algorithms optimized for accuracy and speed, achieving less than 3 seconds response time.
  • Multi-chatbot deployment on single web pages, each connected to distinct organizational workflows for multi-department support.

Technology Stack and Architectural Preferences for Enterprise Support Chatbot

AWS API Gateway for secure and scalable API management
AWS Lambda for serverless function execution
JavaScript-based frameworks including Node.js and jQuery for frontend and backend development
ESLint, Mocha, Jest for code quality and testing
Command-line interfaces for code uniformity and deployment automation

Essential External System Integrations for Enhanced Support Functionality

  • Support ticketing management systems for real-time task tracking and visibility
  • Product or catalog database systems for search functionalities
  • Enterprise authentication and authorization systems for secure credential management

Key Non-Functional Requirements for Enterprise Support Chatbot

  • Security: Full control over authorization credentials, with strict data privacy adherence
  • Performance: Search response times under 3 seconds for large datasets
  • Scalability: Support for multiple simultaneous chatbot instances supporting multi-department workflows
  • Compatibility: Cross-browser support including browsers with limited WebSocket connections
  • Maintainability: Code uniformity facilitated by custom CLI to simplify updates and customization

Projected Business Benefits from a Customized AI Customer Support Solution

By implementing this tailored AI chatbot platform, the client aims to improve customer support efficiency and availability, achieving 24/7 support capabilities. The integration with enterprise systems will enhance task visibility and streamline support workflows. Search performance improvements will lead to faster query handling, reducing average response times to under 3 seconds. Ultimately, these enhancements are expected to enable the enterprise to deliver consistently high-quality customer support, improve satisfaction, and reduce operational overhead across multiple departments and product lines.

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