How to help an AI system understand your business better

Why does an AI respond generically and not understand our company well?

An AI responds generically when it does not know the organization's vocabulary, services, documents, or rules. Soportered can adapt an SLM to better understand real employee queries, use consistent business instructions, and respond with the tone, scope and priorities defined by the company.

Risks to review

• Correct answers in general terms but wrong for the company's internal process.
• Confusion between names of clients, products, areas, abbreviations and own procedures.
• Different instructions between users that produce inconsistent results.
• Reliance on convincing answers that do not reflect an authoritative business source.

How Soportered can help

1. Soportered can identify the real questions that the AI needs to understand and the expected results.
2. We can create stable business instructions to avoid each employee having to explain the context from scratch.
3. We can organize vocabulary, services, clients and internal rules in a controlled knowledge base.
4. We can compare answers with real cases in Spanish and detect the topics that the model still confuses.
5. We can set limits so that the AI recognizes when it does not have enough information.
6. We can maintain and improve the solution when company processes or documents change.

When to evaluate this solution

• The AI gives generic, contradictory or distant responses from the real operation.
• Employees must repeat the same explanations in each conversation.
• The AI is expected to respond using the company's own knowledge.