AI & RAG

Auto-resolve high-confidence FAQ tickets, escalate the rest

Classifies each new Zendesk ticket against the knowledge base and, only when retrieval confidence is high, sends a grounded answer and solves it automatically.

CategoryAI & RAG
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Zendesk ticket createdZendeskZendesk
  • ActionMatch question against Supabase knowledge indexSupabaseSupabase
  • LogicConfidence gate: auto-resolve vs escalate
  • ActionGenerate grounded reply with OpenAIOpenAI
  • OutputSend reply and solve, or route to human queueZendeskZendesk

What it does

Closes the loop on simple, well-documented questions end to end. For each new ticket it judges whether the knowledge base clearly answers the question; if so, it sends a cited reply and marks the ticket solved, and if not, it tags and assigns the ticket for an agent. This is the auto-send sibling of the draft-only workflow.

When to use it

For teams drowning in repetitive FAQ tickets (password resets, plan limits, where-is-X) who want true deflection, not just drafts. Use only once your docs are trustworthy and your confidence threshold is tuned conservatively.

How it works

  1. 1A new Zendesk ticket fires the trigger.
  2. 2The question is matched against the Supabase index of docs and resolved tickets.
  3. 3A confidence gate splits high-certainty FAQs from everything else.
  4. 4For high-confidence hits, OpenAI writes a grounded, cited reply.
  5. 5The reply is sent and the ticket solved; low-confidence tickets are tagged and routed to a human queue.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect SupabaseTables, auth, storage, edge functions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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