Faster support, less manual triage

Support queues fill up fast and the repetitive work (classifying tickets, drafting replies, tracking SLAs, escalating the right issues) compounds every day. BYOBot builds the automation layer so your team handles fewer tickets by hand.

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Build a bot for your support queue

Describe your current support process (how tickets come in, how they're categorized, what tools you use, and where the time goes) and BYOBot maps it into your portable agent you can run today.

1
Describe your ticket workflow

Tell BYOBot how support requests arrive (Zendesk, email, Slack, a form), how they're currently triaged, and which step takes the most manual effort: classification, response drafting, escalation, or SLA tracking.

2
We map it to an automation

BYOBot turns your description into your agent: a prompt for any AI chat tool, a browser agent script that runs it for you, and a full pipeline ready for a developer.

3
AI takes over your support queue

You receive your agent, ready to use. Start in a chat tool to test the logic, go hands-free with a browser agent, or hand the pipeline spec to a developer to deploy.

Start Building Free →

Works across your support and CX stack

One agent for your customer support workflow. Run it anywhere.

In your AI chat tool
Ready-to-use prompts for any AI chat tool

Paste a ticket or a batch of tickets into an AI chat tool along with your classification criteria. BYOBot's prompt produces a triage decision, a draft reply, and a suggested escalation path: ready to action directly.

Works with ChatGPT, Claude, Gemini, or any LLM: free to start
In a browser agent
An AI agent drives your browser for you

the browser agent opens your Zendesk or support inbox, reads the ticket queue, classifies tickets by type and urgency, drafts replies using your tone guidelines, flags SLA risks in your tracker, and posts escalation alerts to Slack.

Works with any AI browser agent tool
In your stack
A full blueprint for unattended automation

A fully automated support pipeline ingests new tickets, classifies and tags them, routes to the right queue, generates contextual draft replies, monitors SLA deadlines, sends breach alerts, and delivers a daily support digest to your team channel.

Connects to Zapier, Make, n8n, or custom APIs

What you get that an LLM alone won't give you

✦ Portable
Download it, use it with any browser-capable AI

A chat answer dies in the thread. Your agent is a file you own: run it in ChatGPT, Claude, or Gemini, drop it into a browser agent, or hand it to your stack, as many times as you like.

✦ Conversational
Training your AI agent is super easy

No prompt engineering degree required. Describe what you do, the tabs you open, the data you move, and BYOBot asks the questions that turn your knowledge into the spec.

✦ Tested
Custom QA milestones in every agent

Every build ships with smoke tests and pass, warn, and fail checks for each step. You'll know it ran right, not just that it ran.

See Yourself Using AI?

BYOBot can help automate customer support workflows for all of these roles, regardless of your experience or skill level.

Triage is the tax on every support team

Most support teams don't have a response quality problem: they have a volume and consistency problem. The same question comes in forty different ways; the right answer exists in a doc somewhere; getting from ticket to response still takes someone three minutes per ticket, forty times a day. BYOBot builds the automation that closes that gap.

The support workflow BYOBot produces is specific to your setup: the tools your team uses, the categories of request you receive most often, the tone and format your replies follow, and the escalation path for issues that need a human decision. It's not a generic chatbot: it's a workflow spec built around your actual support operation.

Start with the chat prompt to automate a single step (like drafting a first reply from a ticket) and see how much time it saves before committing to more. Move to the browser agent and have it run the full triage cycle across your queue. Hand the pipeline spec to a developer when you're ready for a live integration that touches every incoming ticket automatically.

Frequently Asked

Yes: Zendesk is a primary tool for support workflow automation. For the chat prompt, you paste ticket content into an AI chat tool. For the browser agent, the agent can navigate your Zendesk queue directly. The pipeline spec uses the Zendesk API to build a live pipeline.
Yes. Paste a few examples of your best replies when starting the BYOBot session and the prompt includes tone guidance. The drafts match your format and language: you review before sending in the prompt and browser agent versions; the pipeline spec can be set to queue drafts for review before they go out.
BYOBot maps workflows across however many channels your team uses: Zendesk, email, Slack, a web form. The classification and routing logic applies regardless of source. Describe your channel mix and the workflow handles all of them.
Yes. SLA tracking is a core support automation use case. The workflow can monitor ticket age against your SLA thresholds, flag approaching breaches in your tracking tool, and send Slack or email alerts before a ticket goes red.
Escalation logic is built into the workflow spec: when a ticket should escalate, who it goes to, what context gets included, and how the handoff is communicated. This can be triggered by ticket category, customer tier, keyword detection, or age.
No, and that's not the goal. BYOBot automates the mechanical layer: classification, routing, first-draft replies, SLA monitoring. Your team still reviews, refines, and handles the human judgment calls. The automation handles the repetition so your team has more time for the complex issues.

Ready to cut the time your team spends on manual ticket triage?

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