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Support teams are buried in repetitive volume that’s faster to answer than to escalate. AI Agents take the routine — triaging tickets, drafting first replies, generating knowledge base articles from resolved cases — so human agents handle the cases that need judgment.

Start with a Marketplace template

The Marketplace ships pre-built Agents you can clone in one click. Adapt them to your products, your tone of voice, your escalation rules. Or build a custom Agent from scratch.

Customer Query Handler

Answers customer questions from your knowledge base — useful for first-response drafts and self-serve flows.

Customer Support Categorization

Classifies tickets into billing / technical / account / feature / bug and assigns P1–P4 priority on the way in.

Browse the Marketplace

The full catalog of Agents — ticket triage, response drafting, KB management, escalation routing.
Click Clone Agent on any listing, connect your support tools (Zendesk / Intercom / Salesforce Service Cloud), and run on a real ticket.

Pick your path

How hands-on do you want to be? Pick a tab — the rest of the page is written for you.
You don’t need to touch the builder. Open the cloned Agent above, ask in plain English, and let it work across the systems it’s connected to.

Sharpen the answers with knowledge

Upload your support playbook, tone-of-voice doc, escalation rules, and knowledge base articles. Every conversation references them — sharper output, no new setup.

Add knowledge

Upload context once. Every conversation references it.

Make it run on its own

When the same kinds of tickets keep landing, set a trigger — every billing question gets first-touch drafted, every refund request gets routed to the right team. One toggle, no code, no builder.

Triggers

Schedule runs, fire on ticket events, listen to webhooks.

Ready to go further?

When prompting and templates stop being enough — when you want the Agent to follow your playbook word for word and orchestrate triage across channels — pick the Build visually tab above.

The four levels in support

How the autonomy ladder plays out across the support queue:

L1 — Assisted

An agent opens a ticket and asks the Agent to summarize the customer’s history and suggest a reply — the Agent returns context with a draft response.

L2 — Copilot

An agent reviews a batch of new tickets — the Agent has already drafted replies and triage suggestions, the agent approves and sends.

L3 — Autopilot

A new ticket lands → triaged, tagged, routed, first-reply drafted and auto-sent on simple cases, all without an agent touching the queue.

L4 — Self-driving

You set the objective — “cut time-to-first-response” — and the Workforce triages, drafts, and routes, with its triage and template criteria tuned through evals as CSAT outcomes flow back.

Zoom into a single use case

Each use case below is a working entry point — clone a template, then run it, shape it visually, or build with AI depending on which tab fit you.

Ticket triage and routing

Classify, tag, and route every inbound ticket so the right agent picks it up first.

Response drafting from KB

First-draft replies grounded in your knowledge base, with citations so the agent can spot-check.

KB article generation

Turn resolved tickets into knowledge base articles — close the loop without writing them by hand.

See it in production