Best A2A Agents for Customer Service in 2026

Customer service is one of the most obvious use cases for A2A. You have multiple systems — ticketing, CRM, knowledge base, chat — and agents that specialize in each. A2A lets them coordinate: a chat agent escalates to a ticket agent, which pulls context from a knowledge base agent, all without custom integrations between each pair.

The ecosystem is still early here, but two agents are worth watching.

Quick Comparison

Agent	Framework	Language	Best For
ServiceNow A2A Client	Custom	Python	Connecting A2A agents to ServiceNow workflows
CustoFlow	Google ADK	Python	Multi-channel customer support automation

ServiceNow A2A Client

Repo: sn-a2a

This is a bridge between the A2A world and ServiceNow. It exposes ServiceNow's capabilities — incident creation, knowledge base search, approval workflows — as an A2A-compatible endpoint. Any A2A agent can now create a ServiceNow ticket, query the KB, or trigger an approval chain through standard JSON-RPC.

The value is in the integration, not the AI. Most enterprises already have ServiceNow as their system of record. This agent means your A2A orchestrator does not need a custom ServiceNow SDK — it just talks A2A.

When to use it: Your organization runs ServiceNow and you want A2A agents to create incidents, search knowledge articles, or trigger workflows without custom API integration.

CustoFlow

Repo: custoflow

Built on Google ADK, CustoFlow handles multi-channel customer support. It routes incoming requests, classifies intent, suggests responses from a knowledge base, and escalates to human agents when confidence is low. The A2A interface means you can plug it into a larger agent pipeline: a front-end chat agent talks to CustoFlow, which talks to a content agent for drafting responses.

Early stage (2 stars), but the architecture is right. Google ADK gives it streaming support out of the box, and the Agent Card is well-structured for discovery.

When to use it: You are building a customer support pipeline and want an A2A-native routing and response agent. Good starting point to fork and customize.

The Opportunity

Customer service has the largest gap between potential and current A2A coverage. Here is what is missing:

• Zendesk / Freshdesk agents — no A2A wrapper for the two most popular helpdesk platforms yet
• Sentiment analysis agents — classify ticket urgency and customer emotion via A2A
• SLA monitoring agents — track response times and auto-escalate via A2A when SLAs are at risk
• Multi-language support — translation agents that other customer service agents can call via A2A

This is a space where building an agent today means being the only option for that use case. If you have a customer service tool, wrapping it with A2A is low effort and high visibility.

Building a Customer Service A2A Pipeline

A realistic pipeline with today's tools:

1. Front-end: Any chat interface sends messages to an A2A orchestrator
2. Routing: CustoFlow classifies intent and routes to the right agent
3. Ticketing: ServiceNow A2A Client creates incidents for issues that need tracking
4. Knowledge: A search agent pulls relevant docs
5. Escalation: If no agent can resolve, escalate to a human with full conversation context

For authentication between agents, read our OAuth2 security guide. For the orchestration layer, check our multi-agent systems guide.

Getting Started

1. Browse all customer service agents
2. If you use ServiceNow, start with sn-a2a
3. For general customer support, fork CustoFlow
4. Learn the protocol from scratch with our A2A tutorial for beginners
5. Check the enterprise agents for adjacent use cases like approval workflows and task management