How do different AI employee roles differ if they use the exact same knowledge base?

A role in Binom AI determines not what the employee knows, but how they use the information. Even when using the same knowledge base, different roles act differently:

• Business goals and logic: A Seller is focused on closing deals and upselling. Support aims to diagnose a problem and provide a step-by-step solution. An HR Manager focuses on qualifying a candidate.
• Scenarios and strategies: Each role serves as a professional "brain" embedded with decision-making algorithms developed by industry experts.
• Communication style (Tone of Voice): The role sets the manner of speech – ranging from a friendly salesperson to an official legal representative or a technical consultant.
• Data priority: Different roles rank information sources differently. A salesperson primarily looks for data in price lists, whereas support agents look in technical regulations.

Thus, the knowledge base is the "library," and the role is the "specialist" who selects the necessary tools from it to complete their specific task.