AI SQA and AI QA testing for chatbots, RAG, and LLM products — golden sets, jailbreaks, prompt regression, and how to buy AI testing without stuffing it into a cheap retainer. Start a free QA audit or contact TestSync Lab.
AI SQA is release discipline for models
When prompts and models change, silent failures look like “the bot got weird.” AI SQA (AI QA testing) builds golden sets, checks refusals and tool calls, and re-runs evals on every meaningful change. Hub: /ai-qa-testing and /ai.
Do not bury open-ended LLM work inside a $999 classic QA line. Scope an AI Testing Sprint first — blog: /blog/ai-testing-sprint-vs-retainer-addon.
What good AI QA includes
Happy paths, failure paths, jailbreaks, retrieval faithfulness for RAG, and regression when the model swaps. Findings with severity — same bar as product QA.
Classic software QA still matters for the UI around the model. Keep both lanes: /software-qa-services plus AI sprint.
How USA and global teams buy it
Contact with plan “AI Testing Sprint.” Share the AI surface and next release. Optional add-on beside Growth/Scale later.
Market context: /qa-services-usa. Keyword landing: /ai-qa-testing.