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 This allows instant correction of outdated information from older documents (e.g., changes in management or terms) without re-editing the files themselves.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.
Updated on 19.10.26
To ensure high accuracy and rule out unreliable facts, Binom AI uses the following mechanisms:
- Controlled search (RAG): The AI employee does not make up answers. Instead, it follows a strict search protocol: it first checks Price Lists, then Knowledge Cards, and only as a last resort, uploaded documents.
- No hallucinations: If the knowledge base has no reliable information, the system is programmed to report that the data is unavailable or offer help from a live specialist instead of generating invented facts.
- Priority of Knowledge Cards (Cards): Cards work as "blocks of constants" and have the highest priority over uploaded files. This makes it possible to instantly correct outdated data from old documents (for example, a change in management or terms) without rewriting the files themselves.
- Asterisk mode: A special mode for telephony that requires confirmation of every digit. It eliminates errors when transmitting critical data: account numbers, amounts, or meter readings.
- Binom Examiner: An automated AI quality controller that simulates real customer requests and checks whether the employee strays from instructions or provides false information.
- Data synchronization: Catalogs are automatically updated via RSS/XML once a day, which keeps prices and stock levels current without manual intervention.
- Quick correction: In the Chats section, an operator can edit any incorrect AI answer and immediately save it as a new Knowledge Card. The employee will instantly remember the correct version.
How to avoid AI hallucinations: what to do in your account
- Lock in key facts with cards. Prices, addresses, names, and terms go into Cards: a card is a priority piece of knowledge, and Binom relies on it even if older documents say otherwise. How to add a knowledge card.
- Answer questions Binom could not resolve. If Binom does not find an answer, it creates a card with the status "Awaiting answer" in the "Needs attention" collection. Enter the answer, and next time Binom will answer on its own. How the AI employee records new questions.
- Resolve contradictions. Conflicts between cards and documents are shown on the Dashboard in the "Active conflicts" block. How to remove contradictions from the knowledge base.
- Delete outdated documents. Old file versions in Documents are a common cause of wrong answers. Why the bot answers based on old data.
- Test before launch. How to test the AI employee before launching it to clients.
Other common questions
Why does AI make up answers?
Usually the knowledge base either lacks the needed fact or contains conflicting versions. Pin the fact down with a knowledge card and work through the conflicts.
What should I do if the AI gives wrong answers?
Find the source of the incorrect data in Documents or Cards, fix or delete it, and check the answer in a new chat.
What takes priority for the AI when data conflicts?
Cards take priority over documents: the order in which the AI employee searches for information.
