AI Workflow Automation for Customer Support

Describe the workflow you want to automate: we'll build you a step-by-step spec you can run today.

First agent free · No account required

Build Your Own Support Bot

All you need to do is document the steps you take each week in customer support. We'll use your steps to create instructions for AI to take over your support tasks from now on.

Describe your support workflow

Walk us through what you do: how you triage tickets, which reports you pull, how escalations get routed, what summaries go to the team. Plain language, no jargon required.

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.

AI takes over your support tasks

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.

One agent for your support workflow. Run it anywhere.

In your AI chat tool

Ready-to-use prompts for any AI chat tool

No setup. No code. Open Claude, paste the prompt, automate your support workflow. Export your Zendesk queue, paste it in, and get triage categorization and draft replies back.

Works with ChatGPT, Claude, Gemini, or any LLM: free to start

In a browser agent

browser agent drives your support tool

A browser agent prompt that opens Zendesk, reads the incoming ticket queue, drafts escalation flags for SLA breaches, and posts a digest to Slack: with you watching and confirming before anything gets posted.

Works with any AI browser agent tool

In your stack

A full blueprint for unattended automation

An API-driven pipeline with Zendesk/Intercom webhooks for real-time triage, SLA monitoring, escalation triggers, and team notifications. Hand the spec to a developer or deploy it with an automation platform.

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.

Support Engineer Support

QA Analyst Quality

Customer Success Manager Support Operations Manager Operations Product Manager Product

Account Manager Sales

Technical Support Lead Support

CX Manager Support

Billing Manager Finance

Onboarding Manager Support

The support operations layer, automated by AI

The ticket triage and reporting cycle in support is relentless. Every morning brings a new queue. Managers pull SLA reports, flag escalations, and summarize the week's patterns. Support teams draft templated replies, categorize recurring issues, and feed knowledge back into the base. It's necessary work, but it doesn't require an agent's judgment: it requires consistency and speed.

BYOBot's three ways to run your agent map your support operations into automations that scale. The chat prompt lets you validate the triage logic with copy-paste prompts. The browser agent runs the full workflow in your browser: reading Zendesk, categorizing tickets, flagging SLA breaches, posting summaries to Slack. The pipeline spec is a production API pipeline with webhook integration, real-time triage, and escalation routing. The key is that it understands context: if tickets have missing customer info or escalation patterns shift, it adapts instead of breaking.

The breadth of support automation spans every operational layer: ticket triage by type and urgency, SLA compliance tracking, escalation routing based on response time thresholds, templated reply drafting, team standup summaries, and knowledge base syncing from resolved tickets. Support connects to Zendesk, Salesforce, and Intercom on the tool side, and to Slack and Google Sheets on the internal side. Most of the recurring operational work in support can be described once and automated after: freeing up time for agents to focus on complex customer problems. Start with AI Workflow Automation Starting Points to see examples.

Frequently Asked

What customer support workflows can BYOBot automate? +

BYOBot automates the operational layer of support: ticket triage and categorization, SLA compliance reporting, escalation routing based on response time thresholds, templated reply drafting for common issue types, team standup summaries from open tickets, and syncing resolved tickets to your knowledge base. Anything you find yourself doing on a weekly or daily cycle can become a BYOBot workflow.

Will it respond to customers directly? +

BYOBot can draft replies and surface them for your review before sending. The chat prompt produces a prompt you paste into any AI chat tool to draft replies. The browser agent reads your ticket queue, drafts templated responses, and shows them to you for approval before posting to Zendesk or Intercom. The pipeline spec is a full API pipeline that can post directly with proper safeguards. You control the approval layer.

How does it handle ticket triage? +

Ticket triage is the core of support automation. You describe how you categorize tickets by type, urgency, and customer tier. BYOBot turns that into a prompt that reads incoming tickets, applies your categorization logic, and flags escalations. The chat prompt and 2 show you the triage before it gets applied. The pipeline automates it with Zendesk or Intercom webhooks for real-time processing.

Does it work with Zendesk and Intercom? +

Yes. BYOBot produces a spec that an AI agent can execute across both tools. For Zendesk and Intercom, that means an agent script that opens your support tool, reads the current ticket queue, applies triage logic or generates reports, and delivers the output to Slack or your internal system. The pipeline spec provides a full API spec with webhook integration for real-time automation.

Do I need to know how to code? +

No. Your agent gives you prompts to paste into any AI chat tool: no code, no setup. It also includes an agent script to run in a browser agent tool: still no code. The pipeline spec is a technical blueprint for a developer or automation platform: you'll hand them a complete spec rather than starting from scratch.

How does it handle sensitive customer data? +

BYOBot's output runs on your machine (prompt and browser agent) or on your infrastructure (pipeline). You control where the data goes and who sees it. The spec doesn't leave your control. In the browser agent version, the agent runs in your browser and you review everything before it gets posted. Sensitive customer data never leaves your workspace.