CUSTOMER SUPPORT

Escalate accounts stacking up frustrated support tickets

Watches incoming Zendesk tickets, scores their sentiment, and when one account crosses a frustration threshold within a rolling window it opens a HubSpot task and pings…

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew or updated Zendesk ticketZendeskZendesk
  • ActionClassify ticket sentiment and urgencyOpenAI
  • ActionCount negative tickets for account (14d window)PostgreSQLPostgres
  • LogicEscalate if >=3 negative or 1 severe
  • ActionCreate follow-up task on accountHubSpotHubSpot
  • OutputDM the account owner in SlackSlack

What it does

Repeated angry or unresolved support tickets are a leading churn indicator. This workflow turns that noise into a single, account-level escalation the moment a customer's frustration crosses a threshold.

When to use it

Use it when support volume is high enough that no one notices one account quietly filing its third complaint in a week. It connects the support desk directly to the CRM and the account owner.

How it works

  1. 1A new or updated Zendesk ticket triggers the workflow.
  2. 2An OpenAI step classifies the ticket's sentiment and urgency from its subject and body.
  3. 3A Postgres query counts how many negative tickets that account has filed in the trailing 14 days.
  4. 4A logic gate proceeds only when the account has three or more negative tickets or one flagged severe.
  5. 5A HubSpot action creates a follow-up task on the account record with the ticket links.
  6. 6A Slack direct message alerts the named account owner with the count and a one-line summary.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Connect HubSpotCRM, deals, marketing, support.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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