CUSTOMER SUPPORT

Route upsell-blocked feature requests to the sales Slack channel

Detects when a Zendesk ticket asks for a feature the customer's tier does not include, confirms the gap against Stripe.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZendesk ticket created or updatedZendeskZendesk
  • LogicClassify request as gated feature or limit overageOpenAI
  • ActionConfirm current tier and MRR in StripeStripeStripe
  • LogicKeep only upgrade-unblockable requests
  • OutputPost qualified upsell card to sales SlackSlack

What it does

This workflow scans incoming Zendesk tickets for requests that hit a plan limit or a tier-gated feature. When it confirms the customer is on a lower tier than the request requires, it packages the context into a qualified upsell signal and posts it to a sales Slack channel so revenue can follow up while intent is hot.

When to use it

Use it when support tickets are a hidden pipeline of expansion revenue and you want plan-blocked asks captured and handed to sales automatically rather than answered with a flat "not available on your plan."

How it works

  1. 1A new or updated Zendesk ticket triggers the flow.
  2. 2A logic step classifies whether the ticket requests a gated feature or exceeds a plan limit.
  3. 3Stripe confirms the customer's current tier and monthly value.
  4. 4A branch filters to only tickets where an upgrade would unblock the ask.
  5. 5The workflow posts a structured upsell card (account, current tier, requested feature, MRR) to the sales Slack channel.

Set it up

What you configure once, before turning it on.

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

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