How fast can the AI customer support agent respond to tickets?

Our AI support agents typically respond in under 30 seconds, compared to the industry average of 4-12 hours for human-only teams. The agent processes the ticket, searches your knowledge base, and generates a contextual response almost instantly. For complex queries requiring human review, the agent prepares a draft response and routes it for approval.

How do you train the agent on our specific knowledge base?

We ingest your help docs, SOPs, past ticket resolutions, and internal wikis into a vector database using advanced chunking and embedding strategies. The agent uses Retrieval-Augmented Generation (RAG) to search this knowledge base in real-time and generate answers grounded in your actual documentation. We continuously update the knowledge base as your docs evolve.

Can the AI handle complex, multi-step support issues?

Yes. Our agents are built with multi-step reasoning capabilities. They can gather information across multiple turns, check order statuses via API calls, process refunds, update account settings, and perform other actions that require sequential steps. When the issue exceeds the agent's capabilities, it escalates with full context so the human agent can pick up seamlessly.

Does the agent integrate with Zendesk, Freshdesk, and Intercom?

Absolutely. We have pre-built integrations for Zendesk, Freshdesk, Intercom, HubSpot Service Hub, and Salesforce Service Cloud. The agent creates, updates, and resolves tickets directly in your helpdesk, assigns tags, sets priorities, and follows your existing routing rules. We can also integrate with any helpdesk that has an API.

How does the multilingual support work?

The agent automatically detects the customer's language from their message and responds in the same language. It supports 50+ languages including Hindi, Spanish, French, German, Japanese, Arabic, and more. For knowledge base content in a single language, the agent translates on-the-fly while maintaining accuracy through RAG grounding.

How do you measure the quality of AI-generated support responses?

We implement multiple quality layers: automated evaluation using LLM-as-judge scoring for accuracy and helpfulness, CSAT surveys after AI-resolved tickets, human review sampling of a percentage of conversations, and hallucination detection checks that compare responses against your knowledge base. You get a real-time dashboard with all these metrics.

What happens when the AI agent can't resolve a ticket?

The agent recognizes when it lacks confidence in an answer or when the customer explicitly requests a human. It transfers the conversation to a human agent along with a full summary of the issue, relevant knowledge base articles, suggested resolution steps, and customer sentiment score. This reduces human handling time by 40-60% even on escalated tickets.

How long does it take to deploy a customer support AI agent?

A basic support agent MVP with knowledge base search and single-channel deployment can be live in under 2 weeks. A professional multi-channel agent with helpdesk integration typically takes 4-6 weeks. Enterprise deployments with custom models and compliance requirements take 8-12 weeks. You'll have a working prototype to test within the first week regardless of plan.

AI Customer Support Agent

AI Customer Support Agent Development

Build AI agents that resolve support tickets autonomously, search your knowledge base with RAG, intelligently route queries to the right team, and escalate to human agents when needed. Available 24/7 across email, chat, and WhatsApp in 50+ languages.

Schedule a Call

INR 2000

Per Hour

50+

AI Agents Built

4.9/5

Client Rating

<2 Weeks

MVP Delivery

Customer Support Agent Capabilities

Purpose-built AI that handles the full support lifecycle from intake to resolution

Intelligent Ticket Routing

AI classifies incoming tickets by intent, urgency, and topic, then routes them to the right team or resolves them automatically. Reduces misrouted tickets by up to 90%.

Knowledge Base RAG

Retrieval-Augmented Generation searches your help docs, SOPs, and past tickets to generate accurate, grounded answers. No hallucinated responses — only verified information from your knowledge base.

Multi-Language Support (50+ Languages)

Serve customers globally with real-time translation and native-quality responses in over 50 languages. Detect language automatically and respond in the customer's preferred language.

Human Escalation Workflows

Smart escalation rules that detect when a customer needs a human agent. The AI transfers full context, conversation history, and recommended actions so agents can resolve issues faster.

Sentiment Analysis & Prioritization

Real-time sentiment detection flags frustrated or upset customers and automatically escalates high-priority tickets. CSAT prediction helps you intervene before a bad review.

Omnichannel Support (Email, Chat, WhatsApp)

Deploy one unified AI agent across email, live chat, WhatsApp, Slack, and social media. Consistent responses and shared context across every channel your customers use.

How We Build Your Support Agent

A proven 5-step process from requirements to production deployment

Discovery & Agent Design

We audit your current support workflows, analyze ticket patterns, identify high-volume repetitive queries, and design an agent architecture that maximizes automation while preserving customer experience quality.

Prompt Engineering & KB Ingestion

We craft specialized system prompts for support interactions, ingest your knowledge base into a vector store for RAG, and build a working prototype you can test with real ticket data within the first week.

Integration & Development

Connect the agent to your helpdesk (Zendesk, Freshdesk, Intercom), CRM, internal tools, and communication channels. Build escalation paths, tagging rules, and custom workflows for your team.

Testing & Evaluation

Test with historical tickets to measure resolution accuracy, response quality, and escalation appropriateness. We use LLM-as-judge evaluation and human review to ensure no customer gets a wrong answer.

Deployment & Monitoring

Go live with real-time monitoring, conversation analytics, and CSAT tracking. We provide a 30-day post-launch support period with continuous prompt tuning based on actual customer interactions.

Transparent Pricing

Flexible engagement models for AI customer support agents

Starter Agent

INR 50,000starting

Single-channel support agent with basic KB search

Single-channel deployment (chat or email)
Knowledge base RAG (up to 100 documents)
Basic ticket classification & routing
Pre-built LLM (GPT-4o or Claude)
Simple escalation to human agents
Source code handover
14-day post-launch support

Get Started

What Our Clients Say

"Edesy built us a support agent that handles 80% of our L1 tickets without any human involvement. Our average first response time dropped from 4 hours to under 30 seconds, and CSAT actually went up by 12 points."

Head of Support

Support Operations at SaaS Platform (Series B)

"We were drowning in 500+ support emails a day across 3 languages. The AI agent now handles German, English, and French tickets seamlessly. Our support team went from fighting fires to focusing on complex escalations only."

Customer Success Lead

Customer Success at European FinTech Startup

"The RAG-powered knowledge base search is incredible. The agent pulls accurate answers from our 2,000+ help articles and even cites the source. Our knowledge base utilization went from 15% to 85%."

VP of Operations

Operations at E-commerce Company

AI Customer Support Agent

AI Customer Support Agent Development

Schedule a Call

INR 2000

Per Hour

50+

AI Agents Built

4.9/5

Client Rating

<2 Weeks

MVP Delivery

Trusted by businesses worldwide

ShopifyAmazonStripeSlackNotionVercel

Customer Support Agent Capabilities

Purpose-built AI that handles the full support lifecycle from intake to resolution

Intelligent Ticket Routing

AI classifies incoming tickets by intent, urgency, and topic, then routes them to the right team or resolves them automatically. Reduces misrouted tickets by up to 90%.

Knowledge Base RAG

Multi-Language Support (50+ Languages)

Serve customers globally with real-time translation and native-quality responses in over 50 languages. Detect language automatically and respond in the customer's preferred language.

Human Escalation Workflows

Smart escalation rules that detect when a customer needs a human agent. The AI transfers full context, conversation history, and recommended actions so agents can resolve issues faster.

Sentiment Analysis & Prioritization

Real-time sentiment detection flags frustrated or upset customers and automatically escalates high-priority tickets. CSAT prediction helps you intervene before a bad review.

Omnichannel Support (Email, Chat, WhatsApp)

Deploy one unified AI agent across email, live chat, WhatsApp, Slack, and social media. Consistent responses and shared context across every channel your customers use.

5,000+

Tickets Handled Per Day

<30s

Avg. Resolution Time

82%

Automation Rate

50+

Languages Supported

How We Build Your Support Agent

A proven 5-step process from requirements to production deployment

Discovery & Agent Design

Prompt Engineering & KB Ingestion

Integration & Development

Connect the agent to your helpdesk (Zendesk, Freshdesk, Intercom), CRM, internal tools, and communication channels. Build escalation paths, tagging rules, and custom workflows for your team.

Testing & Evaluation

Deployment & Monitoring

Go live with real-time monitoring, conversation analytics, and CSAT tracking. We provide a 30-day post-launch support period with continuous prompt tuning based on actual customer interactions.

Transparent Pricing

Flexible engagement models for AI customer support agents

Starter Agent

INR 50,000starting

Single-channel support agent with basic KB search

Single-channel deployment (chat or email)
Knowledge base RAG (up to 100 documents)
Basic ticket classification & routing
Pre-built LLM (GPT-4o or Claude)
Simple escalation to human agents
Source code handover
14-day post-launch support

Get Started

What Our Clients Say

Head of Support

Support Operations at SaaS Platform (Series B)

Customer Success Lead

Customer Success at European FinTech Startup

"The RAG-powered knowledge base search is incredible. The agent pulls accurate answers from our 2,000+ help articles and even cites the source. Our knowledge base utilization went from 15% to 85%."

VP of Operations

Operations at E-commerce Company

Frequently Asked Questions

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