AI customer support assistant
Paste a ticket, a complaint, or your review inbox and get support work you can act on: an empathetic reply in your voice, a triaged and prioritized queue, an escalation with full context, a knowledge-base article, a read on how customers feel. Zeplik works from the ticket and account context you give it, not a canned macro, and it is honest about the line: it drafts the response, and it tells you which facts to confirm before you hit send.
Who it is for
- Support agents who want a faster, on-tone first draft of a reply
- Founders answering their own support without a dedicated team
- Support leads triaging and routing a busy queue
- Success and ops teams turning tickets into help content
How it works
Paste the ticket or account context
Drop in the ticket, the complaint, the queue, or the reviews. Nothing is assumed. The reply is built only from what you share, so the more account history and detail you give, the more accurate and less generic the response.
Ask for the support work you need
Say it plainly, for example "draft a reply to this" or "triage this queue." Zeplik routes to the right support skill without you naming it, and you can steer the tone, the length, and the firmness.
Verify the facts, then send
You get a ready-to-send reply or a prioritized queue with the reasoning shown. Confirm the account specifics and any promise it makes, then send it or route it, all in one conversation.
What you can ask
Real asks in plain language, and the concrete deliverable you get back. Open the assistant to try your own; nothing runs until you send it.
Draft a reply to this ticket, empathetic and clear.
A customer-facing reply in your voice built from the ticket you paste: acknowledges the issue, gives the answer or the next step, and matches the tone the situation needs, ready for you to confirm the facts and send.
Help me handle this angry complaint end to end.
A tone-matched response for your approval that pulls the customer history, addresses the specific complaint, and flags whether this is a pattern with a fix worth escalating.
Triage and prioritize this support queue.
Each ticket categorized, assigned a P1 to P4 priority, checked for duplicates or known issues, and routed to the right team, so the queue is ordered by what actually matters.
Escalate this bug to engineering with full context.
A full-context escalation that packages the issue, the affected customers, the reproduction, and the business impact, so engineering or leadership can act without a back-and-forth.
Turn this resolved issue into a KB article.
A knowledge-base article written from the resolved ticket: the problem, the fix, and the steps, structured for your help center so the same question deflects next time.
How do customers feel lately? Summarize the signal.
A customer-pulse read across the reviews and tickets you paste: the recurring themes with verbatim quotes and a top-three fixes list, each with a drafted reply.
What it can do
The assistant routes to the right skill for you. Each one below is a focused, ready-to-run workflow; follow a link to see exactly what it does.
Respond and resolve
Draft the reply the situation actually needs.
- Support repliesOn-tone replies for questions, outages, billing, and bad news.
- Complaint handlingPull history, draft a tone-matched response, flag patterns.
Triage and escalate
Order the queue and move what needs to move.
- Ticket triageCategorize, assign P1 to P4, dedupe, and route to the right team.
- EscalationsPackage a bug or churn risk with full context for the next team.
Document and understand
Turn tickets into help content and insight.
- KB articlesTurn a resolved issue or known bug into a help-center article.
- Account researchLook up history and prior answers with source attribution before you reply.
- Customer pulseThemes and verbatim quotes across reviews and tickets, with fixes.
What a general chatbot gets wrong on support, and what is different here
A raw chatbot will write a warm, confident reply that invents a policy, promises a refund you never approved, or cites a fix that does not exist. Zeplik builds from the ticket and account context you give it, keeps the reasoning visible, and stays a draft so you confirm every fact before it reaches the customer.
The failure. A general model promises a refund, a timeline, or a feature to calm the customer, committing you to something you never agreed to.
How Zeplik grounds it. Zeplik drafts from your context and surfaces any promise it makes, so you approve the commitment before it goes out instead of discovering it after the customer holds you to it.
The failure. Asked a product question, a general model invents a plausible answer that does not match how your product actually works.
How Zeplik grounds it. It answers from the ticket and context you provide and attributes what it uses, and where it does not know it tells you to confirm rather than fabricating a fix.
The failure. A general model writes the same generic apology for every complaint, missing the specific account history and the pattern behind it.
How Zeplik grounds it. It pulls the history you paste, tailors the response to this customer, and flags when the complaint is a recurring pattern worth a fix or an escalation.
What it does not do
Knowing the boundary is part of using it responsibly. This is where a person, not the assistant, has to own the call.
- Drafts you confirm, not auto-send. Replies reflect the ticket you paste, not your live system of record. Confirm the account specifics and any promise before you send, especially on billing and commitments.
- No live helpdesk connection yet. It works from what you paste. It does not pull Zendesk, Intercom, or Front, so bring the ticket, the queue, and the account history you want it to use.
- It does not know your current docs. It answers from the context you give it, not a live index of your help center, so verify that a cited fix or policy still matches your real, current content.
- The customer relationship is yours. A fast, on-tone draft speeds the work, but reading the customer, making the call, and owning the outcome stay with you.
This is draft support work for your review, not an approved company response. Replies, articles, and triage reflect the context you provide, so verify facts, account details, and any commitment or refund against your policy and systems before you send, and never expose another customer's data.
Frequently asked questions
- Is the AI customer support assistant free?
- Zeplik is free to start and every new account includes credits. Support skills run like any other Zeplik chat, so you spend only normal usage credits, with the cost shown before you send.
- Can it write support replies in our voice?
- Yes. Paste the ticket and it drafts an on-tone reply that acknowledges the issue and gives the next step. You steer the tone and firmness, then confirm the facts and send.
- Can it triage and prioritize a queue?
- Yes. It categorizes each ticket, assigns a P1 to P4 priority, checks for duplicates and known issues, and routes to the right team, so the queue is ordered by what matters.
- Will it promise things to customers on its own?
- No, and that is the point. It surfaces any commitment a reply makes so you approve it before it goes out. Refunds, timelines, and features stay your call.
- Does it connect to Zendesk or Intercom?
- Not yet. It works from what you paste and is honest about it. It does not pull your helpdesk, so bring the ticket, the queue, and the account history you want it to use.
- What do I need to give it?
- For a reply, paste the ticket and any account history. For triage, paste the queue. For a KB article, paste the resolved issue. For a pulse read, paste the reviews and tickets.
More on Zeplik
Answer the queue with a faster first draft
Paste a ticket and get an empathetic reply, a triaged queue, a full-context escalation, or a KB article you can act on. Free to start, and honest about what to confirm before you send.