Every customer request tracked from new to resolved in one board — SLA timers so nothing ages past your promise, AI-drafted replies so your team answers faster, and automatic escalations so nothing quietly slips. Clone the Support Ticket Pipeline from Taskade Genesis and turn support chaos into a system the same day.
The live app above is the real help desk. Click "Use this app" to own a running copy in minutes: a working ticket queue backed by a relational data table, with an AI agent that drafts on-brand replies from your knowledge base and automations that escalate before an SLA is missed.
Why inbox-based support breaks at scale
Email and chat work for 5 tickets a day. At 50, things slip: a ticket gets buried, an SLA is missed, a reply goes out with the wrong information, a customer follows up twice and gets a different answer. This pipeline replaces inbox guesswork with a managed queue.
Workspace DNA runs the support loop:
- Memory — every customer's prior tickets, interaction history, and account context lives in a relational database. The Relationship field links customers to their tickets, tickets to their resolutions, and resolutions to your knowledge base articles — so the agent reads the right context for every reply.
- Intelligence — an embedded AI agent with 34 built-in tools reads the ticket, checks the customer's history, searches your knowledge base, and drafts a resolution in your support tone. Your team reviews and sends — reply time drops, quality stays consistent.
- Execution — built-in reliable automations run the SLA engine: a ticket in "New" stage for more than 4 hours (configurable) gets escalated; a ticket in "Pending" for 24 hours gets a follow-up trigger; a resolved ticket triggers the satisfaction survey. Every step runs without manual monitoring.
The views your support team lives in
- Board view — the ticket pipeline: New → Assigned → In Progress → Pending Customer → Resolved → Closed
- Table view — the full queue with customer, priority, SLA deadline, owner, and time in stage
- List view — each agent's active ticket load with priority sorting
- Calendar view — SLA deadlines and scheduled follow-ups across all open tickets
Share a read-only dashboard with leadership using the 7-tier roles — they see volume, resolution rates, and SLA compliance without access to ticket content.
Built for SaaS, services, e-commerce, and ops teams
- 100+ bidirectional integrations: pull tickets from email, chat, and forms in automatically — triggers pull events in from Gmail, Intercom, and your support channels; actions push resolution confirmations and CSAT surveys out
- The Relationship field links each ticket to the customer's account and any related prior tickets — so the agent sees the full history and your team isn't asking the same questions twice
- Clone-and-own: the pipeline and its agents belong to you — no per-agent seat pricing, no per-resolution metering
- Knowledge base integration: pair with the knowledge base templates so the AI agent has accurate, up-to-date answers to draw from
Common questions
How does the AI know what to say if it doesn't know the product?
You add your product documentation, FAQ articles, and best reply examples to the agent's knowledge base memory. The agent reads them before drafting every reply — the more complete the knowledge base, the better the drafts. Update the knowledge base once and every future reply benefits.
Can this replace a dedicated help desk tool?
For teams under ~50 tickets per day: yes, this pipeline handles intake, routing, SLA tracking, and AI-assisted resolution in one workspace. For larger volumes, it works alongside your existing tools via the 100+ integrations.
How do customers submit tickets?
Via any channel you connect: email forwarding, a form, a chat integration, or a direct intake link. Each submission creates a new record in the Board automatically via automation. Generate a custom help desk from a prompt or browse support apps in the Community Gallery.