Customer Support AI

AI for Customer Support: Handle 80% of Tickets Automatically

Customer support is the most immediate opportunity for AI ROI. Every business with more than a few hundred monthly support interactions is leaving money on the table by handling queries manually. Our AI customer support solutions reduce ticket volume, improve response times, and deliver consistent 24/7 service — at a fraction of the cost of a fully human team.

The average support ticket costs $8–$15 to resolve when handled by a human agent. With AI handling routine queries — order status, FAQs, returns, account issues — that cost drops to under $0.50. For a company handling 5,000 tickets per month, that's $40,000–$72,000 in monthly savings.

Our AI support systems aren't simple chatbots with decision trees. We build LLM-powered agents that understand natural language, retrieve information from your knowledge base and CRM, take actions on behalf of users, and escalate intelligently to human agents when needed. The experience feels human — because it's designed from the customer's perspective, not the engineer's.

We deploy across every channel your customers use: website chat widget, WhatsApp, Instagram DMs, email, and voice. A single AI system handles all channels with consistent brand tone and accurate responses — giving your team a unified inbox for the cases that actually require human judgment.

Integration is seamless. We connect with Zendesk, Freshdesk, Intercom, HubSpot, Salesforce, and custom CRM systems via API. Agents get full conversation context when tickets escalate, so customers never have to repeat themselves. Escalation rules are fully configurable — by query type, sentiment, customer tier, or business hours.

Our customer support AI is built for continuous improvement. Every interaction is logged and analyzed. We identify patterns in unresolved queries, update the knowledge base, and retrain models monthly. Most clients see steady improvement in containment rates over the first 6 months — from 60% initially to 80%+ after optimization.

Real-World Use Cases

1

E-Commerce Order Support

Handle order tracking, returns, refund requests, and product questions automatically via WhatsApp and website chat.

2

SaaS Product Support

Answer how-to questions, troubleshoot common issues, and guide users through features using your documentation as the knowledge base.

3

Financial Services

Automate account inquiries, transaction disputes, and onboarding questions while maintaining compliance with audit trails.

4

Healthcare Patient Support

Handle appointment scheduling, prescription refill requests, insurance queries, and general health information 24/7.

5

Telecom & Utilities

Automate billing queries, service interruption updates, plan upgrades, and technical troubleshooting at scale.

6

Travel & Hospitality

Manage booking modifications, cancellations, check-in questions, and destination information automatically.

Our Process

01

Support Audit

We analyze your last 90 days of ticket data to identify the top categories by volume, identify automation opportunities, and define containment targets.

02

Knowledge Base Build

We extract knowledge from your help docs, FAQs, product documentation, and agent scripts to build the AI's knowledge foundation.

03

AI Agent Development

We build and configure the LLM-powered agent with your brand tone, escalation rules, CRM integrations, and multi-channel deployment.

04

QA & Testing

We run 500+ test scenarios across query types and edge cases before go-live. Human review of all edge cases to ensure quality.

05

Launch & Optimization

Go live with monitoring dashboards. Weekly reviews in Month 1, monthly thereafter. Continuous knowledge base updates and model fine-tuning.

Tech Stack

GPT-4oClaude 3.5LangchainPineconeWhatsApp Business APIZendeskFreshdeskIntercomNode.jsPython

Frequently Asked Questions

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