WorkerKitJoin the waitlistAI workers for Support
AI workers for support teams that triage tickets, draft first replies, and summarize angry threads before an agent opens them. Connect your queue, Slack, and inbox, then let the firewall control exactly which customer data the worker can read.
- Inbox Triage Assistant Language model Triages your inbox each morning, drafts replies, and flags what needs you.
- Renewal Radar Language model Watches upcoming renewals, spots quiet accounts, and drafts timely check-in emails before it is too late.
- Email Category Classifier Decision model Sorts a window of inbox mail into your own categories and returns one typed row per message, so an agent can read the shape of an inbox in one call.
- Support Inbox Triager Language model Triages the support inbox: classifies, prioritizes, drafts replies, and files tickets for real issues.
- Google Review Watch Language model Checks your Google reviews every morning and tells your team which new ones need a reply today.
- Email OTP Retrieval Language model Find the latest one-time passcode email for an agent sign-in without changing or sending mail.
- Email Jev Classifier Decision model Sorts a window of inbox mail into your own categories and returns one typed row per message, so an agent can read the shape of an inbox in one call.
- Email Reply Needed Screen Decision model Reads a window of mail and says, message by message, whether the owner owes a reply and who owes the next move.
- Grok Inbox Triage Language model Triages overnight email into buckets, saves draft replies only, and never sends — built for Grok Bot operators.
- Sheets Feedback Router Decision model Returns a recommended handling category for each customer-feedback row in a spreadsheet.
- Recurring Support Problem Review Language model Explains repeated support symptoms and drafts an evidence packet for escalation.
- Support Runbook Gap Review Language model Checks whether current support guidance addresses a specific reported problem.
- Support Resolution Planning Workflow Language model Combines support cases and runbooks into an escalation packet and proposed resolution guidance.
What is a Support AI worker?
A Support AI worker is an AI agent set up to run one support job unattended, such as triaging incoming tickets, drafting first replies, or summarizing long conversations for the agent picking them up. It typically touches your ticket queue, Gmail or Outlook support inboxes, Slack channels, and linked Jira issues, and only the customer fields and conversations you approve.
What these workers do
Triage new tickets by priority
Read each incoming ticket, tag it by urgency and topic, and route it to the right Slack channel so agents pick up the hottest issues first.
Draft a first reply for review
Write a suggested response using past resolutions, then leave it in the ticket as a draft for an agent to edit and send, never sending itself.
Summarize an escalated thread
Condense a long email chain in Outlook into a five-line brief so the agent taking over knows the history without reading every message.
Open a Jira bug from tickets
Spot repeated reports of the same fault and file one Jira issue with the customer details redacted, then link it back to each ticket.
How a Support AI worker runs
What a support worker connects to
A support worker plugs into the places tickets and questions arrive. Connect your ticket queue, a Gmail or Outlook support inbox, Slack for internal handoffs, and Jira for engineering escalations. You approve which queues and mailboxes it can read, so a worker for billing questions never sees the security inbox.
When it runs
- On a trigger the moment a new ticket or support email lands.
- On a schedule for a queue health summary at the start of each shift.
- On demand when an agent asks for the history of a customer.
What stays under your control
The firewall reads and writes on your terms. You can redact customer emails and account numbers before they reach the model, keep the worker read-only so it drafts but never sends, and block sensitive VIP contacts. Rate limits stop it from flooding your queue, and the audit trail shows every ticket it opened. Access to any inbox or queue can be narrowed or revoked in seconds.
Support questions, answered.
Can a support AI worker close tickets on its own?
Only if you grant it write access. By default a support worker stays read-only, drafting replies and tagging priority while an agent makes the final call to reply or close. When you do allow writes, the firewall limits them to the ticket fields you choose, and every change is logged so you can see what the worker touched.
Will customers ever get an unreviewed reply?
No, unless you explicitly grant send access a support worker leaves its reply as a draft for an agent to review. You can keep it draft-only, block specific customer contacts, and cap how many drafts it produces per hour. This keeps a human on every outbound message while the worker still saves the writing time.
How does it protect customer data in tickets?
A support worker runs behind the firewall, which can redact emails, phone numbers, and account details before they reach the model. You scope it to specific queues and mailboxes, and DLP scanning flags sensitive content. Nothing outside the approved queue is visible, and the full audit trail records every ticket the worker read.
Can it route tickets to the right team?
Yes, a support worker can read an incoming ticket, classify it by topic and urgency, and post it to the matching Slack channel or file a Jira issue for engineering. Routing rules run inside the firewall, redacting customer details on escalation, and you can adjust the queues and channels it is allowed to reach at any time.