Solutions / Customer Service
AI customer service agents that resolve, not deflect
We build AI agents that read your support tickets, resolve the common ones on their own, and escalate the rest with full context — working inside the helpdesk your team already uses. Not another scripted chatbot.
An AI customer service agent is software that reads incoming support tickets, resolves common issues on its own, drafts responses for the rest, and escalates complex cases to a human with full context. Unlike a scripted chatbot, it reasons over your knowledge base and the systems your team already uses — and it acts, rather than just answering FAQs.
The difference
Chatbots deflect. Agents resolve.
A chatbot
- Follows a fixed script
- Answers only what it was programmed to
- Escalates everything it does not recognise
- Leaves the customer repeating themselves to a human
An AI agent
- Reads context and decides what the message needs
- Looks up the order, applies the refund, updates the ticket
- Resolves the routine cases end to end
- Escalates the hard ones with everything it already checked
What it does
A support teammate that handles the repetitive 80%
Triage every ticket
Reads each incoming message, classifies it by topic and urgency, and routes it — so nothing sits in a queue waiting for a human to sort it.
Draft and send replies
Writes responses in your brand voice using your help docs and past resolutions. Simple cases it handles end to end; the rest it drafts for a human to approve.
Resolve common issues autonomously
Order status, password resets, refunds within policy, FAQs — the repetitive 80% gets resolved without a person, around the clock.
Escalate with full context
When a case needs a human, the agent hands it over with a summary of what it already checked and tried — so your team starts from context, not zero.
How it works
Inside your helpdesk, not beside it
The agent connects to the tools you already run on — Zendesk, Intercom, Gorgias, Freshdesk, email, and your own databases — through scoped, revocable access.
A ticket arrives
The agent picks up every new message the moment it lands, on every channel.
It reads and decides
It understands what the customer actually wants, checks the relevant systems, and decides whether it can resolve the case or needs a human.
It acts
For routine cases it resolves end to end — looks up the order, applies the policy, replies, and closes the ticket.
It escalates the rest
Complex or sensitive cases go to a human with a summary of what was already checked, so nobody starts from scratch.
What changes
What a well-built agent changes
The routine clears itself
The repetitive, high-volume tickets get resolved without a person — so the queue your team opens each morning is the cases that actually need them.
Answers, around the clock
Customers get an instant, accurate first response at any hour, instead of waiting for business hours and a free agent.
Consistent, on-brand replies
Every response follows your tone and your resolution playbook, so quality no longer depends on who happens to pick up the ticket.
Build vs buy
When off-the-shelf is enough — and when it isn't
If your support is mostly FAQs and you just need deflection, an off-the-shelf chatbot is the cheaper, faster choice — and we'll tell you so. A custom agent earns its keep when resolving a ticket means reaching into your own systems, applying logic that's specific to your business, or acting across tools a packaged product can't see. That's the work we do.
- Your resolutions depend on data in your own database or ERP
- You have policies and edge cases a generic bot can’t encode
- You want the agent to act, not just answer
FAQ
Common questions
What is an AI customer service agent?
An AI customer service agent is software that reads incoming support tickets, resolves common issues on its own, drafts responses for the rest, and escalates complex cases to a human with full context. Unlike a scripted chatbot, it reasons over your knowledge base and the systems your team already uses, and it acts — rather than just answering FAQs.
How is this different from a chatbot?
A chatbot follows a script and deflects — it answers what it was programmed to and escalates everything else. An AI agent reads context, decides what a message actually needs, and completes the task: it looks up the order, applies the refund within policy, updates the ticket. Chatbots deflect; agents resolve.
Will it replace my support team?
No — it removes the repetitive volume so your team spends time on the cases that genuinely need a human. The agent handles the routine 80%; your people handle the judgement calls, the upset customers, and the edge cases, with the agent doing the research and drafting for them.
What systems does it work with?
Any helpdesk or channel with an API — Zendesk, Intercom, Gorgias, Freshdesk, email, and your own databases. The agent lives inside the tools your team already uses rather than being a separate inbox to monitor.
Is it safe to let an agent act on customer issues?
Yes, when it is deployed with guardrails. Sensitive or irreversible actions (large refunds, account changes) stay behind human approval, every action is logged, and the agent operates with scoped permissions you control. It drafts and recommends where the stakes are high; it acts autonomously only where mistakes are cheap and reversible.
What does a custom AI customer service agent cost?
It depends on scope — how many systems it touches, how much of your resolution logic it encodes, and your ticket volume (AI models charge per use, so there is an ongoing usage cost alongside the build). After a short discovery call we give a clear quote with no surprises.
See what an agent could take off your team's plate
Tell us how your support runs today and we'll show you which tickets an agent can resolve — and which are better left to your people.
Book a Free Consultation