Customer Support

AI agents that know when to escalate to a human

Resolve tickets autonomously, surface context instantly, and hand off to humans seamlessly โ€” with full conversation history.

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The Problem

Why teams stall

Chatbots that frustrate customers

Scripted chatbots can't handle nuance. Customers get stuck in loops, abandon the chat, and call the support line anyway.

Agents without guardrails

Autonomous agents that can't escalate are a liability. One wrong refund, one leaked detail, and trust is gone.

Context lost on handoff

When a bot hands off to a human, the conversation history disappears. The customer repeats everything. CSAT drops.

The Architecture

Three libraries. One solution.

Three libraries give your support agents superpowers โ€” and your customers a seamless experience.

Agent@ngaf/langgraph

LangGraph interrupts let the agent pause before sensitive actions โ€” refunds, account changes, escalations. Thread persistence preserves the full conversation across bot-to-human handoffs.

Explore Agent โ†’
Render@ngaf/render

The agent renders structured UI โ€” order summaries, refund confirmations, knowledge base cards โ€” instead of dumping text. Customers see clean, actionable information.

Explore Render โ†’
Chat@ngaf/chat

Production-ready chat UI with streaming messages, tool call visibility, and interrupt panels. When the agent escalates, the human agent sees the full debug overlay with every step the AI took.

Explore Chat โ†’

The Results

What you can expect

70%

Tickets resolved autonomously โ€” without human intervention

0

Context lost on handoff โ€” full thread history preserved

3x

Faster resolution for escalated tickets with AI-prepared context

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What's Inside

From Prototype
to Production

The Angular Agent Readiness Guide. Six chapters. Six production-readiness dimensions. What separates demos from shipped products.