Provide a managed regression-testing service built around versioned conversation scenarios derived from each product's support tickets, app reviews, policy boundaries, and highest-value workflows. Before every model or prompt release, the service runs multi-turn tests against the current and proposed versions, has trained reviewers evaluate disputed results, and delivers a prioritized release report with reproducible transcripts. The initial operation can be human-led, with reusable test libraries and comparison tooling added as recurring patterns emerge.

AI products increasingly depend on frequently changing third-party models, moderation systems, prompts, and usage policies, making behavior less predictable than conventional application code. The signals show paying users noticing material regressions across multiple products and update cycles.