AI Customer Service Agent
Dzimark builds AI customer service agents for businesses in the USA, the UK, Canada and Australia. The agent answers customers from your own help articles, policies and order data, takes simple actions such as checking an order or booking an appointment, and passes anything sensitive or unusual to a person with the full conversation attached. We run one ourselves: Marko, the assistant on dzimark.com, answers visitors, takes voice conversations, collects contact details, books calls and hands chats to our team, who reply from a shared inbox.
Updated November 10, 2026
AI Customer Service Agent: what's included.
Answers from your help centre, policies and product data
Website chat, email, WhatsApp and phone
Order look-ups, bookings and ticket updates
Clean handoff to your team with full context
Connects to Zendesk, Freshdesk, Gorgias, HubSpot or Shopify
Reports on what it resolved and what it couldn't
AI Customer Service Agent: in detail.
What an AI customer service agent does
Most support inboxes are filled with the same questions: where's my order, how do I return this, when are you open, can I change my booking. An AI customer service agent answers these on every channel, day and night, in the customer's language. Unlike a basic chatbot, it can also act: look up an order after checking the customer's details, start a return, rebook an appointment, or update a ticket in your help desk. Anything it can't handle safely goes to a person.
Answers you can trust
The agent answers only from sources you approve: help articles, shipping and returns policies, product data, price lists and past answers your team has written. It quotes the policy it used, says when it doesn't know rather than guessing, and never invents discounts, refunds or promises. We test it against a set of real customer questions before launch, and you can review any conversation afterwards.
Channels
Website chat: a widget that matches your brand, with suggested questions and the option to talk to a person. Email: drafts or sends replies to routine emails in your help desk, with a person approving them at first if you prefer. WhatsApp: answers through the WhatsApp Business Platform, with the same knowledge and rules as your website chat. Phone: an AI voice agent for routine calls, with transfers to your team; see our AI voice agents page.
Handing over to your team
A good handoff matters as much as a good answer. The agent passes a conversation to a person when the customer asks for one, when it isn't confident, when the customer is upset, or when the request involves money, complaints or personal data you've marked as sensitive. Your team sees the whole conversation and the details the agent collected, so the customer never has to repeat themselves. On our own site, chats arrive in a team inbox with push notifications and ready-made quick replies.
Integrations
We connect the agent to the tools your support team already uses: help desks such as Zendesk, Freshdesk, Gorgias and Intercom; CRMs such as HubSpot and Zoho; Shopify and WooCommerce stores for order status and returns; booking and calendar tools; and your own systems through their APIs. Each action the agent can take is defined in advance, with limits, and every action is logged.
Privacy and control
Customers are told they're talking to an AI assistant. The agent checks identity before showing order or account details, and only stores what it needs. For businesses with strict data rules we can run the agent with models hosted in your region, or with open-weight models on your own server. Our guides on GDPR-ready AI chatbots for the UK cover the main points for UK and European customers.
How we build it
1. Review your support data: the most common questions, channels and the actions behind them. 2. Choose a first scope, usually the top questions plus one action such as order status. 3. Build and connect the knowledge sources, help desk and tools. 4. Test with real past questions, including awkward ones, and tune the answers and handoff rules. 5. Launch on one channel, measure, then add channels and actions.
Measuring results
We report on how many conversations the agent resolved on its own, how many it handed over and why, customer ratings where you collect them, and the questions it couldn't answer. That last list is often the most useful: it shows which help articles and product pages are missing information.
AI Customer Service Agent: where it makes a difference.
Order status and returns for online stores
Checks the customer's email and order number, gives the latest tracking status, explains the returns policy and starts the return, handing refunds to a person.
Bookings and appointment changes
Answers questions about services and availability, then books, moves or cancels appointments in your calendar or booking system.
First-line support for software products
Answers how-to questions from your documentation, collects details of bugs and creates a ticket in your help desk with everything the developer needs.
After-hours cover
Handles routine questions outside office hours, and collects contact details and the reason for contact so your team can follow up first thing.
AI Customer Service Agent: questions, answered.
What's the difference between an AI customer service agent and a chatbot?
A chatbot answers questions. An AI customer service agent also takes actions in your systems, such as looking up an order, starting a return or updating a ticket, within limits you set.
Will it make up answers?
It's built to answer only from sources you approve and to say when it doesn't know. We test it with real customer questions before launch and you can review conversations at any time.
Can it work with our help desk?
Yes. We connect it to help desks such as Zendesk, Freshdesk, Gorgias and Intercom, so conversations and handoffs appear where your team already works.
Should we use the AI in our help desk or build a custom agent?
If your help desk's built-in AI covers your questions, start there. A custom agent makes sense when you need answers from several systems, actions in your own tools, more channels or more control over cost and data.
Can it answer in other languages?
Yes. Modern models answer in the customer's language, even when your help articles are in English. We test the main languages your customers use.
When does it hand over to a person?
When the customer asks, when it isn't confident, when the customer is upset, or when the request involves refunds, complaints or other topics you mark as sensitive.
Can it answer phone calls?
Yes. The same knowledge can power an AI voice agent that answers routine calls and transfers callers to your team when needed.
How long does it take to launch?
It depends on how many channels, systems and actions are in the first scope. We usually launch with the most common questions and one action, then add more once it's working well.
Let's put AI to work in your business.
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