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AI Assistant (Beta) – Create Rules Faster with Google Gemini
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AI Assistant (Beta) – Create Rules Faster with Google Gemini
Last updated
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We're introducing a brand-new AI Assistant, now available in BETA, designed to help users create decision rules faster—starting with decision tables, our most commonly used rule type. Instead of manually building a rule row by row, you can simply describe your business case, and the assistant will generate a ready-to-use decision table for you. This feature aims to simplify rule creation, especially for users who are new to the platform or working with repetitive decision logic.
The AI Assistant is currently available on Business Plan or higher, and it’s also included in the free trial so new users can try it out as part of our enhanced onboarding experience. You’ll find the assistant by clicking the "AI Assistant" button on the Rules list. From there, a prompt window will open where you can describe the logic behind your decision rule in plain language.
Inside the prompt window, you’ll be guided to enter your business case and provide some mandatory information:
Your case description - be as specific and clear as possible—include all important conditions and expected outcomes
Input Properties – the attributes the rule will evaluate (e.g. age, amount, status)
Output Properties – the attributes of the output model (e.g. approvalStatus, interestRate)
Once this information is provided, the assistant begins building the rule. When the rule is ready, you’ll see a message confirming it’s complete. Click "Yes, generate the table" to finalize the creation—then you’ll be redirected directly to the new rule for review or editing.
Upon opening the AI Assistant modal, you will find a set of predefined preview cases displayed as buttons. Selecting one of these options will automatically populate the prompt with a sample business scenario. The assistant will then generate a corresponding decision table based on that input. This feature provides a quick and guided way to understand the assistant’s behavior and output format.
Simple Loan Application Evaluation:
I want to evaluate a loan application based on the applicant's age and credit score. If the age is under 21, the application should be declined. If the credit score is below 600, also decline. Otherwise, approve. Input model properties:
age,creditScoreOutput model properties:approvalStatus
Fraud Risk Evaluation:
I want to assess the fraud risk of a transaction based on payment method, transaction amount, country, and customer verification status.
If payment is "Crypto", amount > 5000, and not verified → High risk
If payment is "Card", country is in "High-Risk List", and not verified → High risk
If payment is "BankTransfer", amount > 10000 → Medium risk
If verified and amount < 1000 → Low risk
If payment is "Card" or "BankTransfer", country is "Trusted", verified → Low risk
If payment is "Crypto" and amount < 1000 → Medium risk
If not verified and country is not known → High risk
If payment is "Card", amount > 2000, and not verified → Medium risk
Else → Low risk
Input model properties:
paymentMethod,amount,country,isVerifiedOutput model properties:riskLevel
The assistant is powered by Gemini for Business, using the model gemini-2.0-flash-lite-001.
Current usage limits for the assistant are defined by your subscription plan. If you're on a free trial, paid Business or higher tier, you'll have access to a limited number of AI generations each month.
Your privacy is fully respected. No user data is used to train any AI model, and nothing is shared outside Decision Rules application. See more information about data governance and .
