AI System Audits
Point Chorus at your chatbot, support agent, or AI assistant. Synthetic personas interact with it as real users would — probing edge cases, testing cultural sensitivity, and surfacing failure modes you wouldn't catch with scripted test cases.
The problem
AI systems behave differently depending on who's using them. A chatbot that works perfectly for your QA team can fail spectacularly for a first-generation immigrant asking questions in broken English, or a frustrated customer who doesn't follow the happy path. Manual testing can't cover the diversity of real users.
How it works
Connect your system
Provide an API endpoint or webhook. Chorus sends persona-driven interactions to your system and captures the responses.
Diverse interaction patterns
Each persona brings their own communication style, vocabulary, expectations, and edge-case behaviors. A 67-year-old retiree interacts differently than a 25-year-old developer.
Structured audit report
Get a report covering success rates by demographic, failure categories, tone mismatches, and specific interaction transcripts where things went wrong.
Currently in development
AI system auditing is currently available for early-access partners. If you're building customer-facing AI and want to stress-test it with diverse synthetic users before broader rollout, get in touch.
Interested in early access?
We're working with select partners to validate the AI audit workflow. Let's talk.