AI Customer Support Agents
Cut first-response time and deflect routine tickets without hiring: production-grade AI support agents that work inside your helpdesk, with a human in the loop where it counts.
What an AI support agent handles
Ticket triage & routing
Classify, prioritise, and route incoming tickets to the right queue or agent automatically.
First-response drafting
Draft grounded replies from your knowledge base for an agent to approve, or auto-send for low-risk categories.
Deflection & self-serve
Resolve repeat questions before they reach a human, with accurate answers pulled from your own docs.
Escalation with context
When a human takes over, they get a clean summary and the full history, no starting from scratch.
Built for production, not demos
- Grounded in your knowledge base and account systems, so answers carry real context
- Human-in-the-loop approval, with autonomy widened category by category
- Evaluation suite, logging, and guardrails so quality is measured, not assumed
- Integrates with Zendesk, Intercom, Freshdesk, HelpScout, and email
- You own the code and the infrastructure it runs on
Support agents are one kind of AI agent we develop. See also AI sales agents and our cost guide.
Frequently asked questions
What does an AI customer support agent do?
An AI customer support agent triages incoming tickets, drafts first responses, retrieves answers from your knowledge base, and resolves or deflects routine questions, escalating anything that needs judgment to a human. It works inside your existing helpdesk rather than replacing it.
Which helpdesks do you integrate with?
We build on the tools you already use (Zendesk, Intercom, Freshdesk, HelpScout, and email), connecting to your knowledge base and order or account systems so the agent answers with real context, not guesses.
Will the agent send replies without a human checking?
That is your choice. We design human-in-the-loop by default: the agent drafts, a person approves, and you widen its autonomy for low-risk categories as you build trust. High-stakes conversations always route to a human.
How accurate is it?
Accuracy comes from grounding the agent in your own content and adding evaluation, logging, and guardrails, not from the model alone. We ship with an evaluation suite so you can measure resolution quality and catch regressions before customers do.
Put a support agent to work
Tell us your ticket volume and helpdesk. We'll scope an agent and quote a fixed price.
Schedule a consultation