Rules Creation

es. Describe your business requirement in natural language, such as "if the loan amount is above 50,000 and the credit score is below 600, flag as high risk." The assistant will generate a Decision Table with the matching input model, output model, and conditions. The same works for Scripting Rules: describe the logic and the assistant produces a working script.

Yes. You can paste data from your existing Excel spreadsheets directly into the assistant chat. It reads the structure, identifies any embedded formulas, and recreates the logic as a clean Decision Table using native operators.

It works best with rules of up to around 100 conditions. For larger tables, we recommend a hybrid approach: let the assistant create the logic structure, then populate the data using the UI or Excel import.

The assistant generates a first draft that you always review before publishing. In our benchmarks, the AI-generated tables followed QA best practices, using native operators instead of complex formulas, which made the tables easier to manage and modify.

The assistant excels at medium-sized rules of medium complexity. For very large tables with hundreds of rows, we recommend a hybrid approach: let the assistant create the logic structure, then populate the data using the UI or Excel import/export.

From a controlled internal experiment where three groups (newbie, professional, expert) authored two rules manually and then with the AI Assistant. The average time reduction across all groups was approximately 60%. Read the full methodology.