You are helping me build the following AI agent workflow.

## Goal
KYC Risk Profiling: Submits KYC details via form to AI for instant risk classification.

## Specification
- What it does: You instantly classify customer risk by submitting KYC details through an n8n form, which sends the data to OpenAI for automated profiling. High-risk cases automatically save to a Google Sheet and trigger a Slack alert, while lower-risk submissions are logged separately for your review.
- Trigger: Triggered by an event (Event · on form submission)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n: Workflow orchestration and form collection
  - OpenAI: Automated risk classification and profiling
  - Google Sheets: Logging high-risk and normal-risk records
  - Slack: Alerting teams on high-risk cases

## Known pitfalls, handle each one explicitly in your implementation
1. PII data sent to OpenAI may violate privacy regulations so you must implement strict data masking before the API call.
2. Google Sheets API quotas are low for bulk operations, batch insert rows instead of writing them one by one in the workflow.

## Reference implementation
https://n8n.io/workflows/15852 (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/automate-kyc-risk-profiling-with-ai/ via usecasesforagents.com