Build an Automated Referral Program with this AI Prompt
Referrals stall or get misattributed - this AI Prompt maps incentives, attribution, automations, and KPIs…
Route requests, collect approvals, and keep everyone in sync—without chasing emails. Trigger tasks from Typeform/Jotform, log to Sheets, notify Slack, and archive in Drive.
A typical workflow starts when someone submits a form (like Typeform or Jotform) or hits an n8n webhook. The automation cleans and validates the submission, then routes it to the right approver based on rules you set (team, budget, client, or request type). Approvers get a Slack message or email with approve/reject links, plus context. The result is logged in Google Sheets or Airtable, and supporting files can be saved to Google Drive. You also get timestamps for an audit trail.
No. Most Flowpast workflows are plug-and-play: connect your accounts, map a few fields, and you’re live. If you can run a spreadsheet, you can run this.
If you’re currently chasing approvals in email threads, you’ll usually save about 2 hours per week per team, sometimes more during busy launch periods. Automation removes the repeated work: copy-pasting form data, nudging approvers, updating trackers, and hunting for “final” files. It also prevents rework. When every request follows the same steps, fewer submissions come in missing key details, so decisions happen faster and you stop revisiting the same questions.
You’ll need an n8n workspace (cloud or self-hosted), access to your form tool, and at least one destination to store results (Google Sheets, Airtable, or a database). For approvals, pick a channel your team already uses, like Slack or Gmail. Some workflows also use Google Drive for attachments and OpenAI to summarize or categorize requests. Start with one approval path (for example, content sign-off), then expand to finance, legal, and vendor requests once the basics feel solid.
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