Customer Onboarding Request Automation
New Typeform onboarding request? The agent logs it to Sheets, validates the email, generates a branded HTML welcome message via AI.
What it does
You instantly receive a branded HTML welcome email whenever someone submits a new onboarding request through Typeform. This automation logs their details to Google Sheets, verifies their address for deliverability, and handles any submission errors automatically via Gmail.
Step by step
- Configure the Typeform webhook to POST new submission data to your application endpoint.
- Implement a regex-based validation function to verify that the submitted email address follows standard RFC 5322 formatting rules.
- Set up service account credentials for Google Sheets and Gmail API access with appropriate OAuth scopes.
Where the LLM does the work
- Prompt the Azure OpenAI model to generate a branded HTML welcome email that incorporates the user's specific name and requested help topic.
- Instruct the LLM to ensure the generated HTML is responsive and adheres to your company's brand guidelines for tone and structure.
Watch out for
Tools that fit
The agent brief
You are helping me build the following AI agent workflow. ## Goal Customer Onboarding Request Automation: New Typeform onboarding request? The agent logs it to Sheets, validates the email, generates a branded HTML welcome message via AI. ## Specification - What it does: You instantly receive a branded HTML welcome email whenever someone submits a new onboarding request through Typeform. This automation logs their details to Google Sheets, verifies their address for deliverability, and handles any submission errors automatically via Gmail. - Trigger: Triggered by an event (Event · on new Typeform submission) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - Typeform: Trigger on form submissions - Google Sheets: Log customer details and audit tracking - Gmail: Send branded welcome emails - Azure OpenAI Chat Model: Generate dynamic HTML email content ## Known pitfalls, handle each one explicitly in your implementation 1. HTML injection attacks can compromise security, so sanitize all user inputs before passing them to the LLM or embedding them in the email body. 2. LLM outputs may occasionally contain malformed HTML tags, implement a try-catch block to validate the generated code before sending. 3. Typeform webhooks can fail silently due to network issues, add logging and alerting for any unprocessed submissions to ensure no data is lost. ## Reference implementation https://n8n.io/workflows/8753 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/customer-onboarding-request-automation/ via usecasesforagents.com
Frequently asked questions
Can I use a different Forms & Surveys than Typeform?
Yes. Typeform is only the example forms & surveys in this recipe. The same flow works with Jotform and Tally. Swap the forms & surveys connection and keep the rest of the setup as written.
Want this running in your business?
Who it's for
Built for support teams drowning in inbound and looking to triage faster, not just harder.
Ops-IT teams triaging their own internal requests get the same pattern, different queue.