Find the problems before your customers do.
Random Target AI provides AI-assisted, human-verified quality assurance for websites, AI chatbots, AI agents and AI voice assistants. We stress-test real user journeys, document failures clearly and deliver developer-ready findings your team can act on.
Quality assurance built for modern AI products.
We combine structured manual QA with AI-assisted analysis to test the parts of digital products that ordinary smoke tests often miss.
Website QA
Responsive layouts, links, forms, navigation, browser behavior, mobile usability, broken flows, console errors and launch-critical user journeys.
AI Chatbot QA
Normal and ambiguous questions, hallucinations, repetition, conversation memory, lead capture, fallback behavior, escalation and edge cases.
AI Voice QA
Greeting, latency, turn detection, interruptions, barge-in, STT/TTS behavior, silence handling, booking flows, call termination and recovery.
AI Agent Workflows
Tool calls, multi-step tasks, action failures, permission boundaries, state consistency, retry behavior and user-facing error handling.
Bug Reproduction
Clear reproduction steps, expected versus actual behavior, severity, environment details and evidence your developers can use immediately.
Retesting
Verify that reported issues were actually fixed and that the fix did not introduce obvious regressions into the surrounding workflow.
Start small. Fix what matters. Ship with more confidence.
Final quotes depend on product size, number of test environments, access requirements and scope. These launch ranges are designed for focused one-time audits.
Website QA Quick Audit
Focused website review covering desktop/mobile behavior, navigation, forms, broken flows, visible errors and usability issues.
AI Chatbot QA Audit
Conversation testing across normal, unclear and adversarial inputs with findings for hallucinations, memory, repetition, escalation and broken actions.
AI Voice Assistant QA Audit
Voice-specific testing for latency, interruption handling, STT/TTS quality, turn-taking, silence, booking flows, failure recovery and call termination.
Full AI Product QA Audit
Website plus chatbot/agent and voice workflows, developer-ready reporting, prioritized findings and a focused retest after fixes.
A report your developer can actually work from.
Executive summary
A concise overview of the product health, major risks and the highest-priority fixes.
Developer-ready bug log
Bug ID, severity, environment, reproduction steps, expected result, actual result and supporting evidence.
Recommended fixes
Practical remediation notes and likely failure areas where the available evidence supports a useful technical direction.
Retest status
Pass/fail verification for agreed fixes so you know whether the reported problem is genuinely resolved.
See the kind of evidence we deliver.
We are building three demonstration audits so prospective clients can review the testing depth and reporting format before purchasing.
Website launch audit
Responsive-layout, navigation, form, browser and conversion-path QA with prioritized bugs and screenshots.
AI chatbot audit
Conversation-quality, memory, fallback, hallucination and workflow testing across a structured set of user scenarios.
AI voice assistant audit
Turn-taking, latency, barge-in, speech recognition, TTS, silence handling, booking and end-call reliability testing.
Use AI to test harder — not to skip judgment.
Our workflow uses AI to expand test coverage, organize evidence and analyze failure patterns, while final findings are reviewed against the actual user experience. Internal testing methods and tool orchestration remain part of our delivery process.
Request your QA audit →