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In the event of AI model errors: (1) All AI outputs are advisory and require human action before taking effect (users must approve, edit, or reject AI suggestions). This design ensures that model errors do not automatically impact employees without human oversight.
In the event of AI model errors: (1) All AI outputs are advisory and require human action before taking effect (users must approve, edit, or reject AI suggestions). This design ensures that model errors do not automatically impact employees without human oversight. (2) Users can flag inaccurate or inappropriate AI outputs through in-platform feedback mechanisms. (3) Flagged issues are triaged through the standard support escalation process (P0-P4 priority framework) with defined response and resolution SLAs. (4) For errors impacting customers, the incident management process includes root cause analysis, remediation, and preventive measures. (5) If an AI feature produces systematic errors, it can be disabled at the platform level while the issue is investigated and resolved. Learn more: Empuls Help Centre

Is the AI / LLM model tested to prevent prompt injections?

Xoxoday applies input validation, filtering, and sanitization controls to mitigate prompt injection risks…

Is the AI / LLM model tested to prevent model poisoning?

Not directly applicable (Xoxoday does not train or host AI models). Xoxoday does not train, retrain, or host AI/LLM models…