You are helping me build the following AI agent workflow.

## Goal
Data Rights and Compliance Reporting: Ingests data via webhook, uses AI to validate for anomalies and policy violations.

## Specification
- What it does: You receive instant alerts via Slack or email when your data contains anomalies or policy violations. This agent automatically validates incoming data against compliance rules to ensure you can generate audit-ready documentation without manual review.
- Trigger: Triggered by an event (Event · on webhook data ingestion)
- Autonomy: Fully hands-off
- Expected setup effort: a few focused days
- Tools/services involved:
  - HTTP Request: Webhook trigger and API calls
  - Anthropic Chat Model: AI-driven data validation and anomaly detection
  - Slack: Compliance notifications
  - Send Email: Governance documentation distribution

## Known pitfalls, handle each one explicitly in your implementation
1. Webhook payloads may exceed token limits so you must implement chunking or summarization strategies before sending data to the model.
2. Sensitive PII could be logged in plain text if error handling is not configured securely, mask all personal identifiers before writing logs or sending alerts.

## Reference implementation
https://n8n.io/workflows/13138 (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-data-rights-and-compliance-reporting/ via usecasesforagents.com