← Agentic MVP Development

AI support that actually helps

Customer Support Agents

AI customer support agents that resolve tickets, search knowledge bases, escalate intelligently, and learn from human agent corrections.

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Research & discovery

  • Support ticket taxonomy and resolution patterns
  • Knowledge base content audit
  • Escalation criteria and SLA requirements
  • Customer satisfaction benchmarks

Development approach

  • RAG-powered knowledge base search for answers
  • Ticket classification and auto-routing
  • Confidence-based escalation to humans
  • Agent correction feedback loop for improvement

Recommended tech stack

OpenAI

LLM

Ticket understanding and response generation.

Node.js + NestJS

Backend

Ticket API and agent orchestration.

PostgreSQL

Database

Tickets, KB, and resolution history.

Redis

Cache

Frequent answer caching.

Key features

  • Automated ticket resolution
  • Knowledge base RAG search
  • Smart escalation to human agents
  • Resolution analytics and CSAT tracking

Deliverables

  • Support agent MVP
  • Knowledge base integration
  • Agent handoff workflow
  • CSAT and resolution dashboard

Other application types

Ready to build your customer support agents app?

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