Lucy Gartner Compliance Audit
Self-assessment against Gartner's Critical Capabilities framework for Conversational AI Platforms (2025 edition), covering 10 capability domains and 90 individual criteria.
Action Items (2 partial, 0 gaps)
- [Natural Language Understanding] Custom NLU model training — Training data ingested via ingestAndProcessTrainingData and LucyScenarioTraining page, but no self-serve NLU retraining UI exposed to hotel operators
- [Lifecycle Management & Administration] Multi-hotel deployment management — MultiHotelDashboard and MultiHotelDeployment pages exist; hotel_id isolation confirmed. White-label provisioning planned.
Detailed Criteria Breakdown
advancedIntentClassification, lucyInnerCore, parseComplexVoiceIntent — multi-turn intent graph built per conversation
handleMultiTurnDialogue, buildEnhancedConversationContext, shortTermContextManager — full turn management stack
detectConfidenceAndClarify, handleAmbiguousVoiceCommand, detectSpellOutNeeded
Training data ingested via ingestAndProcessTrainingData and LucyScenarioTraining page, but no self-serve NLU retraining UI exposed to hotel operators
enhancedEmotionDetection, analyzeGuestSentimentRealTime, emotionalTrajectoryEngine, lucySentimentAdaptiveResponse — full sentiment pipeline
detectCodeSwitching function purpose-built for this; tested in LucyTwoWayTranslationTester