AI & Technical question

Ramp needs to support changing tax rules across US entities and international VAT/GST regimes. How would you design the product and underlying rule system so that most tax logic can be updated through configuration or data rather than bespoke code? Be specific about the abstractions, versioning, and auditability you would need.

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What this question tests

Whether you can design a configuration-driven system architecture for a domain (tax rules) that changes constantly and requires strict auditability.

How to approach it

  1. Model tax rules as versioned, structured data (rates, thresholds, jurisdiction-specific logic) rather than hardcoded conditionals, so updates are configuration changes, not code deploys.
  2. Design a jurisdiction abstraction layer that separates universal tax-calculation logic from jurisdiction-specific parameters, so adding a new US entity type or VAT regime means adding data, not new code paths.
  3. Version every rule set with an effective date range, so historical transactions always calculate against the rules that were active at the time, which is essential for audit and amendment.
  4. Build an approval and staging workflow for rule changes: a tax or compliance owner reviews and approves before a new rule version goes live, with a clear audit trail of who changed what and when.
  5. Add automated regression tests that run new rule versions against a fixed set of known-correct historical transactions before activation, catching unintended side effects.
  6. Expose a reporting layer that can reconstruct exactly which rule version applied to any past transaction, satisfying audit requirements without engineering involvement.

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