AI & RAG

Suggest Cited Compliance Answers on Zendesk Tickets

When a support ticket is tagged as a compliance question, retrieves grounded policy passages and posts an internal suggested reply with citations.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerTicket tagged compliance in ZendeskZendeskZendesk
  • ActionEmbed ticket and retrieve passages from Supabase corpusSupabaseSupabase
  • LogicVerify passages clear grounding threshold
  • ActionDraft cited suggested reply with OpenAIOpenAI
  • OutputPost internal note or tag ticket for specialistZendeskZendesk

What it does

Helps frontline support resolve compliance tickets without leaving the help desk. On any ticket tagged compliance, it pulls supporting passages from the frozen corpus and posts a citation-backed suggested answer as an internal note. Agents review and send; they never copy an unsourced claim.

When to use it

Use it to deflect repetitive policy questions in Zendesk so agents answer accurately and consistently, while genuinely novel or uncovered questions get flagged for a compliance specialist instead of a guessed reply.

How it works

  1. 1A ticket tagged "compliance" triggers the flow in Zendesk.
  2. 2The ticket subject and body are embedded and matched against the Supabase corpus.
  3. 3A logic gate checks whether retrieved passages clear the grounding threshold.
  4. 4OpenAI drafts a suggested reply quoting and citing the matched policy sections.
  5. 5Grounded suggestions post as an internal Zendesk note; uncovered tickets get a "needs specialist" tag and assignment instead.

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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