AI Customer Support Agent

AI Customer Support Agent
Resolve 70% of Tickets Automatically

Your support team spends 70% of their time on repetitive Tier 1 questions that an AI agent can answer instantly. We build agents that search your knowledge base, understand conversation context, take actions in your systems (reset passwords, process refunds, update orders), and escalate to humans when they reach the boundary of their authority. Average resolution time drops from 4 hours to 8 seconds.

14 day delivery
Safety guardrails
Full source code

What This Agent Does

A production support agent that answers questions, takes actions, and escalates intelligently. Not a chatbot with canned responses.

Multi channel support across live chat, email, Slack, Discord, and WhatsApp from one agent
RAG powered knowledge base that searches your docs, FAQs, and past tickets for accurate answers
Action taking agent that resets passwords, processes refunds, updates orders, and modifies accounts
Context aware conversations that remember previous interactions and customer history
Smart escalation to human agents with full conversation context and suggested resolution
Proactive outreach for known issues, order delays, and service disruptions
PII detection and masking with role based access controls on customer data
Continuous learning from resolved tickets and agent feedback to improve accuracy weekly
Performance dashboard with deflection rate, resolution time, CSAT scores, and cost per ticket
Full audit trail of every decision, action, and escalation for compliance and debugging
Configurable tone, personality, and authority boundaries per channel and customer segment
Prompt injection protection and output validation to prevent harmful or off brand responses

Measured ROI

60 to 70%

Ticket Deflection

Tier 1 and Tier 2 tickets resolved without human involvement

8 seconds

Response Time

Down from 4 hour average with human only support

$5,500+

Monthly Savings

Based on 160 hours of support labor eliminated per month

90%+

CSAT on AI Tickets

Customer satisfaction on interactions handled entirely by the agent

Tech Stack

LangChain
Agent framework
OpenAI / Claude
LLM reasoning
Pinecone
Vector search (RAG)
PostgreSQL
Conversation storage
Redis
Session and cache
Resend
Email channel
Hono
API server
Railway
Hosting

14 Day Build Timeline

Day 1 to 2

Discovery and Data

Map support workflows, audit existing knowledge base, identify top 20 ticket categories, define escalation rules.

Day 3 to 5

Knowledge Base and RAG

Ingest docs and FAQs into vector store, build retrieval pipeline, test accuracy on historical tickets.

Day 6 to 8

Agent Logic

Tool definitions, action taking capabilities, conversation memory, escalation logic, multi channel routing.

Day 9 to 10

Safety and Testing

Prompt injection testing, PII masking, adversarial scenarios, load testing, shadow mode against human agents.

Day 11 to 12

Integration

Connect to helpdesk (Zendesk, Intercom, Freshdesk), CRM, and internal systems. Deploy monitoring dashboard.

Day 13 to 14

Launch

Gradual rollout starting at 10% of tickets, performance monitoring, threshold tuning, team training.

Customer Support Agent

$4,500

14 day delivery • Multi channel • 30 day support

Simple single channel agents from $1,500 • Enterprise from $12,000

Build Your Support Agent

See a Support Agent We Built

An AI support agent for a B2B SaaS company that deflects 65% of tickets, resolves billing questions in under 10 seconds, and escalates complex issues with full context.

Read the Case Study

Frequently Asked Questions

Free Estimate in 2 Minutes

50+ products shipped$10M+ funding raised2-week delivery

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