AI customer support agents that resolve tickets, not just deflect them.

An AI customer support agent is software that handles customer service tickets on its own — it reads a customer's message across chat, email, WhatsApp or social, understands what they need, and resolves it by taking real action in your systems: tracking an order, starting a return, resetting an account, changing a subscription. When a ticket is beyond it or needs a person, it escalates cleanly with the full context. It combines a large language model to understand and respond with connections to your helpdesk and back-end systems so it can actually complete the task.

The important distinction is between "deflection" — a bot that points customers at a help article and closes the chat — and true resolution, where the agent completes the request end to end. A good support agent resolves the routine, high-volume tickets instantly and around the clock, freeing your team for the ones that genuinely need a human. Getting it right is less about the AI and more about the engineering around it — the system connections, the grounding in your real policies, and a clean hand-off. That discipline is exactly what Avaib brings, drawing on more than 600 projects delivered since 2004.

An FAQ bot matches a customer's question to a help article and shows it — helpful for simple questions, but it cannot actually do anything, so anything that needs an action just gets bounced back to the customer or to your team. A customer support agent is connected to your systems, so it completes the task: it does not just explain how to get a refund, it starts the refund.

A general chatbot sits closer to the support agent, but a support agent is built specifically around your service workflow — your helpdesk, your ticket types, your policies, your escalation rules — and is measured on how many tickets it genuinely resolves, not how many it deflects.

No — it takes the repetitive, high-volume tickets off your team so they can spend their time on the complex, sensitive and relationship-building work that actually needs a person. The businesses that get the best results treat the agent as the first line that handles the routine volume, with skilled humans behind it for everything else.

We also build the escalation and guardrails so a person is always reachable and always in control. The goal is a support team that scales without simply hiring more people every time volume grows — not a team replaced by a bot.

A confident wrong answer about a policy or a refund does real damage — there have been public cases where a support AI invented a policy and triggered a wave of cancellations. So we design against it. We ground the agent in your actual policies, help content and data rather than letting it guess, and have it say it will check or hand over when it is unsure, instead of inventing an answer to sound helpful.

We also test the agent against real tickets and awkward cases before it goes live, roll it out under supervision, and monitor early conversations closely — so it is dependable on the tickets your business actually gets, not just a tidy demo.

It hands the ticket to a person — with the full conversation, the customer's history and everything it has already tried — so your team picks up mid-stream and the customer never has to repeat themselves. We design the escalation rules with you: which tickets always go to a human, and the moments (a frustrated customer, a sensitive or high-value issue, an explicit request) that trigger a hand-off.

There is never a hidden path or a loop designed to wear customers down. A person is always reachable, and the agent reads when someone wants one.

Yes — that is the whole point, and the difference between a support agent and a deflection bot. We connect the agent to your helpdesk and to your order, account, billing and subscription systems through their APIs, so on the ticket it can genuinely track a parcel, start a return, issue a refund, reset an account or change a plan.

You stay in control of exactly what it is allowed to do on its own and what needs a human to approve — high-value refunds, for example, can always be routed to a person. It works inside the tools you already run, so your records stay correct.

We build the agent to work across the channels your customers actually use — live chat, email, WhatsApp, social messaging and your help centre — as one agent with the same knowledge and tone everywhere, so a case does not reset when a customer switches channel.

On the back end we integrate with the major helpdesks — Zendesk, Intercom, Freshdesk, Gorgias, Salesforce Service Cloud, HubSpot and others — and with the order, billing and account systems behind them. We stay tool-agnostic and connect to what you already run rather than making you switch.

It depends on scope — a single-channel agent handling your top few ticket types is a small, fixed engagement, while an agent across several channels with deep helpdesk and system integrations is larger. Avaib's model is senior engineering at a cost-effective rate, typically around USD 25 per hour, which is why businesses in Australia, the US, Canada and the Middle East work with us instead of paying big-firm prices.

There is usually a small ongoing running cost for the AI service the tickets use, which we keep transparent and swappable so you are not locked into a vendor's per-resolution pricing. Tell us which tickets are costing your team the most time and we'll propose a right-sized engagement with a clear scope and a ballpark price, plus a free, no-obligation written estimate.

Yes. A support agent improves with real tickets — you learn what customers actually ask and where it stumbles — so we stay on to monitor resolution rate, escalations and customer satisfaction, tune it, and widen what it resolves rather than vanishing after launch.

You get one accountable team for the whole journey, from finding the volume through to ongoing support, with a 30-day post-launch warranty on the work we deliver.