Use an event-driven queue (Kafka/SQS) and write every request to an operations DB for idempotency and audit. Have a worker pool enforce per-tenant concurrency and token-bucket rate limits before calling ChatGPT; implement exponential backoff with full jitter and a dead-letter queue after N retries. Emit metrics (requests, latency, errors, retries), structured logs with request IDs, and alerts on error-rate or queue growth. Add circuit breakers and periodic cost caps.

See Zapier vs Make for Zapier-specific integration trade-offs: Compare Zapier and Make