Build an AI Customer Support Agent from Plain English
Build an AI customer support agent that answers questions, resolves tickets, and escalates edge cases, without writing a line of code.
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One AI customer support agent builder. Everything included.
Build an AI customer support agent and all of this is generated with it. Nothing bolted on later, nothing extra to configure.
Grounded Answer Engine
Your customer support agent answers from your help content and product data, not guesses, resolving repeat questions instantly. Point it at your docs and the knowledge is built in.
Ticket Triage & Routing
Read, tag, prioritize, and route every ticket to the right person or queue. Describe how your team works and the routing is generated for you.
Reply Drafting & Resolution
Draft accurate replies for approval, or resolve low-risk tickets end to end. Describe what it can send on its own and the guardrails are built for you.
Follow-Up & CSAT Automation
Follow up on resolved tickets and collect satisfaction scores without manual chasing. Describe when they should fire and the automation runs itself.
Helpdesk & Channel Integrations
Connect your helpdesk, chat, and email, plus anything with an API. Describe what should stay in sync and the integrations are wired up for you.
Conversation Logs & Quality
Every conversation and outcome is logged for review. Describe what to track and the quality and CSAT screens come ready-made.
What can you build with the customer support agent builder?
Resolve Common Questions
The agent answers repeat questions from your help docs instantly, so only real edge cases reach your team. Describe this in a sentence and your agent is built around it.
window.awbMockup = { ticketDeflection: "Build a customer support agent that answers common questions from your help docs.", triage: "Build a support agent that triages and routes every incoming ticket.", responses: "Build an agent that drafts grounded replies for your team to approve.", followUp: "Build a support agent that follows up and collects CSAT automatically.", };
Triage and Route Tickets
It reads each ticket, tags it, sets priority, and routes it to the right person or queue automatically. This is what building customer support agents with AI looks like in practice.
window.awbMockup = { ticketDeflection: "Build a customer support agent that answers common questions from your help docs.", triage: "Build a support agent that triages and routes every incoming ticket.", responses: "Build an agent that drafts grounded replies for your team to approve.", followUp: "Build a support agent that follows up and collects CSAT automatically.", };
Draft Accurate Replies
The agent drafts grounded replies your team can approve in one click, or send on its own for low-risk cases. Prompt it in plain English and this ships working.
window.awbMockup = { ticketDeflection: "Build a customer support agent that answers common questions from your help docs.", triage: "Build a support agent that triages and routes every incoming ticket.", responses: "Build an agent that drafts grounded replies for your team to approve.", followUp: "Build a support agent that follows up and collects CSAT automatically.", };
Close the Loop
It follows up on resolved tickets, collects feedback, and flags customers at risk of churning. One clear description is all it takes to put this to work.
window.awbMockup = { ticketDeflection: "Build a customer support agent that answers common questions from your help docs.", triage: "Build a support agent that triages and routes every incoming ticket.", responses: "Build an agent that drafts grounded replies for your team to approve.", followUp: "Build a support agent that follows up and collects CSAT automatically.", };
How to Build an AI Customer Support Agent
Skip the flowcharts and node graphs. Describe what your customer support agent should do, the tools it needs, and the limits it works within, and the whole agent is generated for you, ready to deploy.
Describe the job in plain English. Say what the agent handles, the tools it uses, and when it should escalate, with no flowcharts to draw.
The agent's logic, tool connections, and guardrails are generated together, and you can test it right away.
Keep prompting until it behaves exactly how you want, adjusting tasks, tools, and rules as you go.
Go live the same day, hook it into your stack, and keep refining as your needs change.
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Build Your Own
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Why Choose Emergent to Build an AI Customer Support Agent?
Build an AI customer support agent around your exact workflow, with the freedom to customize, connect, and scale it as your business grows.
| Other Agent Tools |  | |
|---|---|---|
| Built for | Single-task chatbots | Agents that do real work |
| What you get | A chat wrapper | Logic, tools, and actions wired together |
| Actions and tools | A fixed set of connectors | Any tool with an API or webhook |
| Customization | Rigid templates | Built to your exact workflow |
| Your data | Locked in their platform | Grounded in your own data |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of configuration | Live the same day |
Pick the Pricing Plan That Works for You
Choose the plan that fits your building ambitions. From weekend projects to enterprise applications, we've got you covered.
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