AI Assistant with an Auto-Tune Feedback Loop
Our AI Assistant features a human-supervised feedback loop designed for continuous accuracy. When inaccurate responses are flagged, the system automatically initiates data refinement processes, including extracting and summarizing information from sources or preparing specific answers. If these automated steps cannot resolve the issue, human AI engineers are engaged to provide necessary clarification or add further data, ensuring the AI's knowledge is updated for more reliable future interactions.
Connect AI Assistants to AI Agents via MCP
BizDriver.ai AI Assistants can connect to external AI Agents using the Model Context Protocol (MCP). This allows them to get help from specialized tools or services when needed.
For example, if a user asks, “What’s the best mortgage rate today?”, the assistant can send the request to a connected finance agent via MCP. The agent finds the latest rates and sends back the answer, which the assistant delivers to the user.
Hybrid AI Models and Fusion Search
BizDriver.ai uses a hybrid AI model strategy that starts with fast, efficient models like GPT-4o-mini, and automatically falls back to GPT-4o when higher accuracy is needed. This ensures smart use of resources without compromising quality.
To enhance answer precision, the assistant uses Fusion Search—a combination of semantic search (for meaning and context) and Lucene-based keyword search (for exact matches and structured queries). This dual approach allows the assistant to find and rank the most relevant information across both unstructured content and structured data sources, delivering reliable, context-aware responses.