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Cipher
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Use Cases

Intent in, action out — everywhere

From autonomous support triage to AI-driven incident response, Cipher runs where reliability is non-negotiable.

SaaS / E-commerce

Autonomous Customer Support Triage

Cipher agents read incoming support tickets, classify urgency, route to the right team, draft first-response suggestions, and escalate edge cases to human agents — all within seconds of ticket creation.

−82%
First response time
64%
Tickets auto-resolved
+0.8 pts
CSAT score change
−47%
Agent handle time
  1. 1Incoming ticket triggers a Cipher task via webhook
  2. 2Intent Layer classifies urgency (P1–P4) and topic cluster
  3. 3Action Mesh reads CRM history, past tickets, and subscription data
  4. 4Agent drafts a resolution or escalation recommendation
  5. 5Audit Log records every data access and decision with trace ID
  6. 6Human agent reviews draft; one-click approve or edit before send
example.ts
import { CipherClient } from "@cipher-ai/sdk";

const cipher = new CipherClient({ apiKey: process.env.CIPHER_API_KEY });

// Trigger triage on new ticket
export async function handleNewTicket(ticket: SupportTicket) {
  const task = await cipher.tasks.create({
    intent: `Triage and respond to support ticket #${ticket.id}: ${ticket.subject}`,
    context: {
      ticketId: ticket.id,
      customerId: ticket.customerId,
      channel: ticket.channel,
      body: ticket.body,
    },
    tools: ["crm.read", "tickets.read", "knowledge-base.search", "draft.write"],
    budget: { maxToolCalls: 20, timeoutMs: 8000 },
    humanInLoop: { threshold: "low-confidence" },
  });

  const result = await task.wait();

  return {
    urgency: result.output.urgency,
    suggestedReply: result.output.draft,
    traceId: result.traceId,
  };
}