How to guarantee high accuracy of AI employee responses and prevent the delivery of unreliable facts?

To ensure high accuracy and prevent hallucinations, Binom AI utilizes the following mechanisms:

• Controlled Retrieval (RAG): The AI employee does not fabricate responses; instead, it adheres to a strict retrieval protocol: checking Price Lists first, followed by Knowledge Cards, and only then searching through uploaded documents as a last resort.
• Prohibition of Hallucinations: If verified information is not found in the knowledge base, the system is programmed to state that data is unavailable or offer human agent assistance, rather than generating invented facts.
• Knowledge Cards Priority (Cards): Cards function as "constant blocks" and hold a higher priority over uploaded files. This allows instant correction of outdated information from older documents (e.g., changes in management or terms) without re-editing the files themselves.
• Asterisk Mode: A specialized telephony mode (Business plan) requiring character-by-character digit verification. It eliminates errors when transmitting critical data such as account numbers, totals, or meter readings.
• Binom Examiner: An automated AI quality controller simulates real client queries to test if the employee strays from instructions or provides false information.
• Data Synchronization: Automated catalog updates via RSS/XML occur every 15 minutes, guaranteeing up-to-date pricing and stock levels without manual intervention.
• Real-Time Corrections: In the Chats section, an operator can edit any incorrect AI response and immediately save it as a new Knowledge Card. The employee will instantly memorize the corrected answer.