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Customer Support#19 Support Ticket

24/7 Customer Support Agent

"Answer 80% of customer questions instantly — at any hour, on any channel"

82%
Auto-Resolved
<5 sec
Response Time
4.7/5
CSAT
The Problem

Customers expect immediate support regardless of business hours. Support teams are overwhelmed by repetitive questions, after-hours queries pile up, SLAs slip, and customers churn quietly. Support costs keep rising while satisfaction drops.

Workflow

How the system runs

  1. 01Customer inquiry received via Website, WhatsApp, Email, Facebook, Instagram or App
  2. 02AI greets the customer and detects intent using NLP
  3. 03Knowledge base, orders, FAQs, policies & past interactions retrieved
  4. 04AI resolves the query or executes the required action
  5. 05Complex / sensitive issues escalated to a human with full conversation history
  6. 06Feedback collected and analytics updated for continuous improvement
Customer Interaction

Support Ticket

Ticket
#48-2179 · Multi-channel support
ResolvedCSAT 5/5
  1. 10:42 · Customer · WhatsApp
    When is possession for Marigold Heights?
  2. 10:42 +2s · AI Support Agent
    Possession is March 2025. Sharing latest construction update photos.
  3. 10:43 · Customer · WhatsApp
    Also — what's the parking allocation?
  4. 10:43 +3s · AI Support Agent
    2 BHK → 1 covered parking · 3 BHK → 2. Anything else — payments, amenities, site visit?
  5. 10:44 · Customer · WhatsApp
    Can I speak to someone about home-loan options?
  6. 10:44 +5s · AI Support Agent
    Escalated to Rahul (Finance). Full chat history attached. Callback within 10 min.
  7. 10:51 · Rahul · Finance
    Called the customer, walked through 3 loan options. Ticket closed. CSAT = 5/5.
Dashboard & Reporting

Support Operations Dashboard

Support Operations Dashboard
Tickets auto-resolved
Live
Tickets Handled
24,610
+32%
Auto-Resolved
82%
+11%
Avg First Response
< 5 sec
−92%
CSAT
4.7 / 5
+0.6
Escalation Rate
18%
−14%
Support Cost
−60%
vs last yr
Tickets auto-resolved
Service quality
4.7/5
CSAT score
Escalation rate
18%
−14%
After-hours solved
6,218
24/7
Cost reduction
60%
saved
Operational Improvement

Before vs After

Before
  • Support only 10 AM – 7 PM
  • Repetitive FAQs eat agent time
  • Inconsistent answers across channels
  • Escalations lose context
After
  • 24/7 instant first response
  • 82% of tickets auto-resolved
  • Single brain across 6 channels
  • Escalations arrive with full transcript + sentiment
Business Impact

Measured outcomes

82%
Tickets Auto-Resolved
Under 5 sec
Avg Response Time
4.7 / 5
CSAT Score
60%
Support Cost Reduction
24 / 7
After-Hours Coverage
6+
Channels Unified
Technology Stack

Enterprise architecture

3-week build · production-grade infrastructure

AI Layer
  • OpenAI GPT-4o
  • Claude 3.5
  • Intent + Sentiment Classifier
Knowledge Layer
  • Pinecone Vector DB
  • Policy & FAQ Index
Communication Layer
  • WhatsApp Business
  • Website Chat Widget
  • Email
  • Instagram DM
Ticketing Layer
  • Zendesk / Freshdesk
  • Escalation Router
Data Layer
  • PostgreSQL
  • Conversation Log Warehouse
Analytics Layer
  • Power BI
  • CSAT Dashboards
Suitable Industries
Real Estate Healthcare Education E-commerce Financial Services Hospitality SaaS
Implementation Brief

24/7 Customer Support Agent rollout plan

Architecture, integration layers, operating rhythm and KPI governance for a 3-week production rollout.

Request implementation brief
System Walkthrough
6-step workflow · 6 KPI dashboard · ticket interaction model
Project Note
"The first reply should always be instant. The next reply should always be correct. This system delivers both — across every channel your customer prefers."
Project Concept & Design
Anurag Dube
Developed Under
NeovraAI