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Next steps - AWS Prescriptive Guidance

Next steps

There are other CLM use cases beyond client onboarding, and these use cases can be modernized with built-in AWS Cloud services. The following scenarios explore some potential modernization use cases:

  1. Integrate product recommendations into baking products and services by using Amazon Personalize or other custom made recommendations. Although FS products are different from retail products, there is still a high degree of personalization predicted by 2025 according to Industry Leaders Predict Massive Changes in Banking by 2025 from The Financial Brand. Customers might be willing to pay more for highly personalized and contextual services. This can only be implemented with smarter solutions based on machine learning.

  2. You can use Amazon Fraud Detector, an online fraud detector based on machine learning, for account monitoring. You can also customize other built-in algorithms to provide standardized account monitoring services (for example, by using anomaly detection).

    Note

    Amazon Fraud Detector is no longer open to new customers as of November 7, 2025. For capabilities similar to Amazon Fraud Detector, explore Amazon SageMaker, AutoGluon, and AWS WAF. For more information, see Amazon Fraud Detector availability change.

  3. You can have smart assistants that directly engage with customers by using Amazon Lex and chatbots based on the latest natural language models.

There is no limit to creative solutions, but you must integrate and deploy such solutions at scale and speed.