CSEdge Nexus
CSEdgeNexus™

How We Helped a Cloud & Technology Services Company Automate 1,800 Monthly Calls

Client

Cloud & Technology Services Company

1The Challenge

The company provides cloud services, consulting, strategy, custom software development, healthcare applications, digital marketing solutions, and other technology services. Their biggest challenge was handling a high volume of incoming calls. They were receiving around 60 calls per day, which added up to approximately 1,800 calls per month. Managing this volume manually was becoming difficult. Every call required someone to understand the customer's requirement, collect the right information, and make sure the enquiry reached the relevant person. They were considering building a separate team just to handle this workload.

What They Needed

  • Industry
  • Company information
  • Customer requirements
  • Message and enquiry details
  • AI agent to answer incoming calls, understand needs, and route enquiries to the relevant person

2What We Built

We built a complete digital system around their customer acquisition and internal operations.

Website

Developed a professional landing page that presented their services clearly and gave potential customers a structured way to submit enquiries.

Admin Dashboard

Built an internal admin dashboard to manage incoming enquiries and monitor company activity.

Employee Dashboards

Created multiple employee dashboards with access based on their responsibilities, allowing the right team members to receive and manage relevant enquiries.

AI Voice Agent

The biggest part of the solution was an AI-powered voice agent designed to answer incoming calls, understand customer requirements, communicate professionally, collect customer information, identify the type of enquiry, route the information to the relevant person, and support the lead conversion process.

This allowed the company to handle a large volume of calls without depending entirely on a traditional call-handling team. AI-based call routing and voice agents are increasingly being used to identify caller intent, route enquiries, collect information, and automate repetitive customer interactions.

3The Result

The company was able to automate the handling of approximately 1,800 calls per month. Instead of manually managing every incoming call, the AI agent could handle the initial conversation, understand the requirement, and pass structured information into the company's workflow. The company also avoided the need to build a larger call-handling team and achieved an estimated ₹25,000 in monthly savings. The entire process became more structured: Customer Call → AI Conversation → Requirement Identification → Information Capture → Internal Routing → Follow-up

Client Feedback

"This team was great and incredible to work with. They always responded on time and were available whenever we needed support. Even when I called at midnight because of an issue, the team responded responsibly and helped us immediately."
"The 24/7 support was a huge benefit for us. Even after deployment, the AI voice agent has been working very smoothly and reliably."
"After deploying the AI voice agent, it has been helping us handle and close around 100–150 deals per week."

The Outcome

The project gave the company a complete system for managing customer enquiries across both their website and phone channel. What started as a problem of handling too many calls became an automated customer acquisition and internal workflow system.

  • A professional company website
  • Centralized enquiry management
  • Admin dashboards
  • Employee dashboards
  • Automated call handling
  • Structured customer information
  • Intelligent enquiry routing
  • A scalable customer communication system
  • Approximately ₹25,000/month in savings