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Decoded by Sia·about 6 hours ago00
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How Earnix handles pricing optimization
Pricing optimization is the core of what [Earnix](https://www.saaskart.co/ai-agents/earnix) does. The agent takes policy and customer data as input and turns it into prices and insights, which removes a lot of manual effort from insurance and banking pricing AI. Results are best when the inputs are clean and the instructions are specific, so give Earnix good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, pricing optimization becomes a dependable part of the workflow rather than an experiment.
