AI-Powered Support & Automation for eServe

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Project Name
eServe Customer Support System

Project Scope
Knowledge bases, AI chatbots, virtual assistants, advanced ticket management, business process automation.
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Duration
7+ years in operation
Client Background & Initial Challenges
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Cisco’s existing support capabilities before project launch – Cisco wanted an omni channel, highly configurable chat solutions to deliver services to their 200,000 employees world wide.
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Pain points: high support volume, manual workflows, scalability issue

Goals & KPIs
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Improve customer service quality & user satisfaction
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Automate workflows to reduce resolution times
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Provide scalable, adaptive support platform
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Highly scalable reporting, intelligent routing and Knowledge driven AI bots across multiple channels.
Solution Components
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Knowledge base: centralized, searchable repository
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AI-powered chatbots & virtual assistants: support via conversational AI
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Advanced ticket management: tracking, assignment, escalation
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Business process automation: workflow optimization & backend integration
Technical Architecture & Tools

Core tech stack & platforms used
- Micro services deployed in AWS using spring technologies
- Lightweitght UI solutions using React

AI frameworks and automation engines
- Langchain framework
- Embedded vector database

Deployment
- Secure deployment in AWS following NIST methodologies
- Need to be Casper Certified solution
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Development Process
Methodology (e.g., Agile iterations)
