FOR SUPPORT TEAMS

Train your support team into AI.

A trained AI that knows your product, your changelog, and your team’s tone. It drafts the first-touch reply, routes the Slack triage, and surfaces the workaround the engineers shipped this morning.

Start a trial →See pricing

WHAT IT KNOWS

The team’s shared brain, written down.

Your docs, your changelog, your macros, your escalation rules. The stuff the senior agent already keeps in their head.

– your product, your docs, and the last six months of changelog
– your common tickets and your canned resolutions per topic
– your tone-of-voice rules and your refund and credit policies
– your escalation matrix — which team a ticket goes to, on which signal
– your known-issues list and the workarounds your engineers actually ship
– your CSAT and survey rules, including when to send and when to skip

WHERE IT SHOWS UP

Inside Zendesk. Inside Slack. Inside the agent’s window.

Same trained intelligence on the helpdesk, the triage channel, and the agent’s live ticket — same team voice on every surface.

– Zendesk or Intercom first-touch reply drafting in your team’s tone
– Slack triage — routing #help-product vs #help-billing automatically
– an internal knowledge-search copilot every agent uses live in a ticket
– post-resolution survey drafting and follow-up SMS where you allow it
– macro suggestions on the fly, scoped to the team that wrote them
– changelog-driven proactive messaging for tickets blocked on a known bug

A SAMPLE EXCHANGE

An export bug, an incident tag, a routed reply.

Real flow: ticket arrives, known-issue match found, workaround drafted, Slack flagged, survey suppressed per house rule.

Customer ticket (subject: My export is broken)

Hey — I’ve been trying to export my Q1 dashboard to CSV for an hour and nothing happens. Chrome on Mac, latest version. The button just spins.

Trained support AI (draft reply, agent-pending)

Hi — sorry about this. CSV export from the dashboard view has a known issue on the 4.7.2 release that shipped Tuesday; engineering has it tagged INC-2143 and a fix is in QA. As a workaround you can export from the underlying report view (Reports → Q1 → ⋯ → Export). Want me to ping you the moment the fix is live?

Internal Slack post (auto-routed)

#help-product — ticket #4821 tagged INC-2143 (CSV export). One more on this issue today (now 12 in 48h). Flagging for engineering standup.

Trained support AI (after agent sends the reply)

Reply sent at 10:14. CSAT survey suppressed because the issue is on a known-incident allowlist — your house rule. I’ll re-enable the survey once INC-2143 is closed.

The trained AI drafts; the agent sends. Tickets that don’t match the known-issues list never get a fabricated incident number — they route to engineering instead.

BEFORE / AFTER

First-touch on every ticket. No doubled headcount.

Before

– First-touch reply time crawls during volume spikes.
– Known-issues tickets get answered like brand-new tickets.
– Slack triage burns the team lead’s first hour every morning.
– Macros are written, then forgotten in a Notion page nobody opens.

After

– A trained AI drafts the first-touch reply in your team’s tone in seconds.
– A trained AI checks the known-issues list and surfaces the workaround.
– A trained AI routes tickets to the right channel as they arrive.
– The trained AI suggests the right macro live in the ticket.

OUTCOMES

The numbers we will publish — once we have them.

No fabricated metrics. We ship outcomes from real teams in design partnership and sign every receipt.

First-touch reply time (median): TODO · design-partner pending
Drafts accepted by agents without edit: TODO · design-partner pending
Known-issue match rate on incoming tickets: TODO · design-partner pending
Slack triage routing accuracy: TODO · design-partner pending

WHY SPECIALIZED

A model that reads your changelog, not the public internet.

A generic AI has never read your changelog. It does not know that INC-2143 shipped Tuesday, that your team uses "you" not "y’all" no matter what the customer writes, that refunds over $200 always escalate and refunds under $50 never do.

A trained model reads your tickets, your docs, your changelog, and your macro library. It drafts in the team’s tone. It routes against your real escalation matrix. It hands off the moment a ticket doesn’t match a known shape — engineering hears about the new bug before the customer sends a third message.

One specialized model, on every surface your support team already works inside — at a fraction of what doubling headcount would cost.

THREE QUIET GUARANTEES

Trust is the foundation, not the pitch.

– Eval-gated replies. Every reply passes an evaluation before it ships. If confidence drops, the draft routes to a human agent instead of bluffing.
– Verifiable billing. Every charge is Ed25519-signed and verifiable offline. Designed to start at Ready.
– Your data stays yours. Tickets, transcripts, and customer context live in your account. Never pooled across teams. Never used to train platform models.

ALSO TRAINED ON