AI-Powered Support & Automation for eServe

  • Project Name

    eServe Customer Support System

Project Scope

Knowledge bases, AI chatbots, virtual assistants, advanced ticket management, business process automation.

  • Duration

    7+ years in operation

Client Background & Initial Challenges

  • 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.

  • Pain points: high support volume, manual workflows, scalability issue

Goals & KPIs

  • Improve customer service quality & user satisfaction

  • Automate workflows to reduce resolution times

  • Provide scalable, adaptive support platform

  • Highly scalable reporting, intelligent routing and Knowledge driven AI bots across multiple channels.

Solution Components

  • Knowledge base: centralized, searchable repository

  • AI-powered chatbots & virtual assistants: support via conversational AI

  • Advanced ticket management: tracking, assignment, escalation

  • Business process automation: workflow optimization & backend integration

Technical Architecture & Tools

Core tech stack & platforms used

AI frameworks and automation engines

Deployment

  • Development Process

    Methodology (e.g., Agile iterations)

Results & Impact

Reduced average resolution time - to

90

secs per ticket via AI Bots

Case deflection via self-service – achieved close

23-40 %

deflection rate

Scalability across seven years – total downtime of

10 mins over 7 years

Customer Benefits

Improved satisfaction and response times

24/7 support with multilingual capabilities

Flexible, evolving system meeting enterprise demands

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