AI receptionist's details don't match the call transcription

Introduction
Artificial Intelligence (AI) technology powers the AI receptionist in the Answering AI platform, enabling it to handle phone calls and provide accurate information. However, it's important to note that AI systems may sometimes experience discrepancies between the details provided by the AI receptionist and the actual call transcription. This article aims to shed light on this common occurrence and explain the factors contributing to such discrepancies.

1. Why do AI receptionists sometimes provide details that don't match the call transcription?
   

   • Understanding the limitations of AI: AI systems are constantly learning and evolving, but they can still encounter challenges in accurately interpreting and transcribing every aspect of a call.
     

2. Factors contributing to AI discrepancies:
   

   • Speech recognition errors: In some cases, the AI receptionist may misinterpret certain words or phrases due to variations in speech patterns, accents, or background noise.
     

   • Contextual understanding: AI systems may struggle to grasp nuanced context or subtext, resulting in discrepancies between the details provided and the actual call transcription.
     

   • Complex or ambiguous queries: Certain complex or ambiguous queries from callers may pose challenges for the AI receptionist to provide precise details.
     

3. Managing user expectations:
   

   • Emphasizing the benefits and limitations of AI: Educating users about the capabilities and limitations of AI receptionists helps manage expectations and fosters a better understanding of the technology.
     

Conclusion
Discrepancies between the details provided by the AI receptionist and the call transcription are common in AI systems. By understanding the factors contributing to these discrepancies and following the suggested steps, users can navigate these situations effectively while leveraging the overall benefits of AI technology in the Answering AI platform.