support bot regression

Support Bot Regression After Policy Changes

Support bot regression is the practice of rerunning known policy and red-team tests after the knowledge base or bot prompt changes. It catches old failures returning, new conflicts appearing, and policy edits that quietly change customer-facing behavior.

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When this matters

  • A refund policy changes from 30 days to 14 days and old bot answers still mention 30 days.
  • A new cancellation exception is added for enterprise contracts.
  • A support macro update changes escalation wording for privacy requests.

How to run it

  1. Save a baseline set of policy boundary questions and expected risk outcomes.
  2. Detect changed policy pages, macros, or escalation instructions.
  3. Rerun the same tests plus fresh edge cases for the changed policy area.
  4. Compare hallucination rate, violation count, and severity against the previous run.
  5. Block release or assign repairs when high-risk regressions appear.

Common risks

  • Policy edits often fix one edge case while breaking another.
  • Manual spot checks miss regressions in rare but expensive scenarios.
  • Regression without versioned evidence makes it hard to explain why a bot was released.

How SupportPolicy Sim helps

SupportPolicy Sim saves test baselines and monthly regression reports so support AI behavior stays aligned as policies evolve.