Pulastya AI for Better Call Response
A service-based business missed customer calls during busy hours and after office hours. Pulastya AI helped the team answer routine calls, capture caller details, and send complex enquiries to the right staff member with full call context. As a result, the business reduced missed calls, improved lead capture, followed up faster, and delivered a better customer experience without building a custom call system.
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Key Project Details for Pulastya AI
The client needed an easy way to answer routine calls, capture customer enquiries, and manage follow-ups without increasing staff workload.
Pulastya AI.
SaaS AI Voice Agent Platform.
Service-based business with regular customer calls.
Missed calls, repeated customer questions, and delayed follow-ups.
A smart call assistant that could answer common customer questions using approved business information.
The team used AI call answering, business document training, call transcripts, caller detail capture, human handoff, and a call dashboard.
Better call response, clearer enquiry tracking, faster follow-ups, less repeated manual work, and improved customer experience.
Built for Smarter Call Handling
Pulastya AI helped the business answer routine customer calls, collect caller details, and review call conversations from one dashboard. It also passed complex enquiries to staff with clear call context.
The Client’s Need for Better Call Management
The client managed service calls, booking questions, pricing requests, support calls, and follow-ups with a small team. As call volume increased, they missed more calls, responded late, and struggled to track follow-ups. Beyond this build, SDLC Corp's wider work with Pulastya AI has also included performance marketing support.
During busy hours, staff could not answer every new call. After office hours, customer enquiries were often missed, which created lost opportunities.
The client needed an AI call handling system that could answer routine questions, capture caller details, and keep follow-up information ready for the team.
Missed Calls During Busy Hours
The team missed customer calls during busy hours and after office hours.
AI Support With Human Handoff
Pulastya AI answered routine calls, captured details, and passed complex enquiries to staff.
The Main Challenge
Manual Call Handling Created a Need for AI Call Management
Before Pulastya AI, the team handled every customer call manually. As call volume increased, this caused delayed responses, missed enquiries, and weaker follow-up tracking.
Missed Calls During Busy Hours
The team could not answer every customer call while handling existing conversations and daily business tasks.
Repeated Questions Took Staff Time
Many callers asked similar questions about services, pricing, bookings, and support. Staff had to repeat the same answers throughout the day.
Enquiry Details Were Not Always Captured
When calls were missed or rushed, important details such as caller name, contact number, enquiry type, and request details were not always recorded properly.
Follow-Ups Were Harder to Manage
Without clear call summaries and organized records, the team needed extra time to understand who called, why they called, and what action was needed next.
Limited Visibility Into Call Activity
The business did not have a clear dashboard to review call status, duration, transcripts, summaries, and outcomes in one place.
Human Agents Had Less Context
When a customer needed personal support, staff sometimes had to ask the same questions again because earlier call context was missing.
Overall, the business needed a customer call automation system to answer routine calls, capture caller details, reduce missed opportunities, and improve customer experience.
Solution Provided
How Pulastya AI Improved Call Handling
Pulastya AI — built through SDLC Corp's custom software development — helped the client answer routine calls faster, capture caller details, and manage follow-ups from one dashboard. This reduced missed calls, improved caller experience, and gave the team better call visibility.
Routine Call Answering
Pulastya AI handled common questions about services, pricing, bookings, orders, and support.
Approved Document-Based Answers
Pulastya AI used approved business documents such as FAQs, service details, pricing, and policies to give more accurate answers and reduce repeated manual responses.
Caller Detail Capture
Pulastya AI collected caller name, contact number, enquiry type, and request details so the team could follow up faster.
Human Handoff With Context
Pulastya AI passed complex calls to staff with caller details and call history, so the team could continue the conversation smoothly.
Transcripts and Summaries
The team could review call summaries, transcripts, duration, status, and caller details after each conversation.
Dashboard-Based Review
The team reviewed call records, transcripts, summaries, and follow-up status from one dashboard.
Overall, Pulastya AI helped the client respond faster, reduce missed calls, improve caller experience, and track every enquiry more clearly.
Implementation Process
How Pulastya AI Was Set Up for Automated Customer Calls
The setup prepared Pulastya AI to answer routine calls, use approved business information, capture caller details, and help the team respond faster with less manual work.
Setup Flow
From Workspace Setup to Live AI Call Handling
Pulastya AI was configured to support routine customer calls, capture caller details, review call records, and help the team manage follow-ups from one dashboard.
- ✓Workspace setup for call activity
- ✓Business knowledge upload
- ✓Twilio and OpenAI connection
- ✓Dashboard-based call review
Workspace Setup
The team created a Pulastya AI workspace to manage setup, test calls, and review call activity from one dashboard.
Business Knowledge Upload
The team added approved FAQs, service details, pricing, policies, and support documents. were added so Pulastya AI could answer common customer questions accurately.
Voice Tool Connection
Twilio and OpenAI were connected to support live AI call answering through the platform.
Call Flow Testing
The team tested calls, checked answer quality, captured caller details, and improved missing information before launch.
Live Call Handling
After testing, Pulastya AI started answering routine enquiries, collecting caller details, and reducing manual call work.
Dashboard Review
The team reviewed transcripts, summaries, caller details, call status, and follow-up needs from one dashboard.
This setup helped the client reduce manual call handling, improve response speed, capture enquiries clearly, and manage follow-ups more easily.
Key Features Used
Pulastya AI Features That Improved Customer Call Handling
These features helped the client answer calls faster, capture caller details, reduce missed enquiries, and manage follow-ups from one dashboard.
Business-Trained AI Voice Agent
The AI voice agent answered routine customer calls using approved business information, helping reduce missed calls.
Document-Based Answers
Pulastya AI used FAQs, pricing details, service information, and policies to give accurate answers.
Human Handoff
Complex customer calls were passed to staff with call context, helping the team continue conversations smoothly.
Call Management Dashboard
The team reviewed call records, summaries, caller details, and follow-up status from one place, making follow-ups faster.
Lead and Enquiry Capture
Caller details, enquiry type, and request information were collected during calls, improving lead tracking and response speed.
Secure Tool Connection
Connected tools supported safe and reliable AI call handling for live customer conversations.
Together, these features helped the client reduce missed calls, respond faster, improve follow-up visibility, and deliver a better customer experience.
Technology Stack Used to Build the SaaS AI Voice Agent
Pulastya AI was built with a modern technology stack that supports faster call handling, accurate AI responses, secure data storage, and scalable customer support.
React.js
SaaS DashboardA clean dashboard was created through custom web development with React.js so teams could view accounts, test calls, review conversations, and manage activity faster.
Node.js
Backend LogicBackend logic, API connections, user actions, call workflows, and platform processes were managed through Node.js.
Twilio
Voice Call ConnectionLive inbound and outbound customer calls were supported by connecting phone numbers with the platform through Twilio.
OpenAI
AI Voice AgentCustomer questions were understood and answered naturally using OpenAI-powered voice intelligence.
Vector Database
Document Answer SearchThe vector database searched uploaded business documents and helped Pulastya AI find relevant answers during live calls.
Database
Platform Data StorageThe database stored user data, call records, transcripts, summaries, settings, and platform details securely.
Encryption
Secure ConfigurationConnected credentials, account details, and sensitive configuration data were protected with encryption.
Cloud Hosting
Scalable SaaS AccessThe platform stayed accessible, scalable, and ready for real-time call handling through cloud hosting.
This technology stack helped manage live calls, use approved business information, capture call records, protect platform data, and support dashboard-based review for service teams.
Results
Results After Using Pulastya AI for Customer Call Handling
After using Pulastya AI, the client improved call response speed, reduced missed enquiries, tracked caller details more clearly, and managed customer follow-ups from one dashboard.
45% Faster Call Response
Pulastya AI answered routine customer questions faster through the AI voice agent, reducing wait time for callers.
35% Fewer Missed Enquiries
Pulastya AI captured more customer calls during busy hours and after office hours, helping reduce lost opportunities.
Better Lead and Enquiry Tracking
Caller details, enquiry type, and request information were recorded clearly for faster follow-ups.
Less Repetitive Manual Call Work
The team spent less time answering the same routine questions again and again.
Improved Follow-Up Visibility
Call summaries, transcripts, and status updates helped the team see which enquiries needed action.
Better Customer Call Experience
Customers received quicker responses, while complex calls were passed to staff with clear context.
Overall, Pulastya AI helped the client respond faster, capture more enquiries, reduce repeated manual call work, and improve follow-up visibility with clear call records.
Ready to Reduce Missed Calls With Pulastya AI?
Pulastya AI helps businesses answer routine calls, capture caller details, and review conversations from one dashboard. Book a demo to see how your team can reduce missed calls, improve enquiry follow-ups, and respond to customers faster.
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