Customer Support

AI agents that know when to escalate to a human

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

Read the field reportSee the program

The problem

Why this is hard today.

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.

Architecture

How the three libraries compose.

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.

See Agent docs 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.

See Render docs 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.

See Chat docs โ†’

What you ship

Capabilities the framework delivers.

Preserved

Full conversation history across bot-to-human handoff โ€” no repeating the question, no re-explaining the problem

Required

Human approval gates on sensitive actions (refunds, account changes, escalations) via LangGraph interrupts

Visible

Tool-call replay for human agents on escalation โ€” see every step the AI took before the handoff

Field report

The last-mile gap in Angular AI.

  • Six production-readiness dimensions for Angular AI
  • Concrete patterns โ€” error boundaries, fallbacks, observability, deploy
  • No vendor pitch. Just what we learned shipping it.

Already on the list? Download the PDF directly.

angular-agent-readiness-guide.pdf
Field report ยท 18 pages
From Prototype to Production
Six production-readiness dimensions for Angular AI teams.
Agent UI for Angular

Support agents that make your team better

Download the field report or start a pilot. Resolve routine tickets, escalate the rest with full context, keep your customers happy.

Talk to usRead the docs โ†’