CHATBOTS

Web-form warranty intake validation pipeline

A deterministic pipeline triggered by a warranty web-form submission that validates the serial, stores uploaded photos in Dropbox, applies eligibility rules.

CategoryChatbots
Enginesim
Difficultybeginner
Triggerwebhook
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWarranty form submission webhookHTTP webhook
  • ActionValidate serial against product registryAirtableAirtable
  • ActionMove uploaded photos to claim folderDropboxDropbox
  • LogicEvaluate eligibility and branch approve/reject
  • OutputWrite claim record with status and photo linksAirtableAirtable

What it does

Processes public warranty-form submissions without a conversation. Each post arrives as a webhook payload; the pipeline validates the serial number against the registry, moves uploaded photos into a structured Dropbox folder, runs deterministic eligibility checks, and records the claim with a clear approved or rejected status.

When to use it

Use it when warranty intake lives behind a website form rather than chat, and you want fast, consistent, rules-only processing with no model in the loop. Ideal for high volume where every submission must hit the same validation logic.

How it works

  1. 1The warranty form posts a submission to the webhook, triggering the pipeline.
  2. 2The serial number is validated against the Airtable product registry.
  3. 3Uploaded photo files are moved into a per-claim Dropbox folder.
  4. 4Eligibility logic evaluates purchase window, tier, and exclusion rules.
  5. 5The flow branches into an approved or rejected path.
  6. 6A claim record with status and photo links is written to Airtable.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect DropboxFiles and folders.
  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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