This refers to tools that help people make decisions by providing insight, recommended actions, predictions, or logic to make a decision for them. AI decisioning uses algorithms learned from historical data or behavior. Rules-based decisioning is based on “if this, then that” instructions.
Example: AI decisioning might suggest offering a 20% discount on a car insurance policy for every customer who purchased a home insurance policy. It suggests this action because it knows that customers are more likely to purchase an additional policy if they own a house. An example of rules-based decisioning is if a customer buys the red belt at your online boutique, the online store would then show the customer the red shoes to match.