---
title: Anti-Money Laundering (AML) Alert Scoring
description: Build a model that uses historical data, including customer and transactional information, to identify which alerts resulted in a Suspicious Activity Report (SAR).
---

# Anti-Money Laundering (AML) Alert Scoring {: #anti-money-laundering-aml-alert-scoring }

This use case builds a model that uses historical data, including customer and transactional information, to identify which alerts resulted in a Suspicious Activity Report (SAR). The model can then be used to assign a suspicious activity score to future alerts and improve the efficiency of an AML compliance program using rank ordering by score. It is captured below as a UI-based walkthrough. It is also available as a [Jupyter notebook](https://github.com/datarobot-community/ai-accelerators/blob/main/advanced-experimentation/customer_communication_datarobot_gen_ai/effective_customer_communication_datarobot_gen_ai.ipynb){ target=_blank } that you can download and execute.


Download the sample training dataset [here](https://s3.amazonaws.com/datarobot-use-case-datasets/DR_Demo_AML_Alert_train.csv).

{% include 'includes/aml-1-include.md' %}

{% include 'includes/aml-2-include.md' %}

{% include 'includes/aml-3-include.md' %}


### No-Code AI Apps {: #no-code-ai-apps }

Consider building a custom application where stakeholders can interact with the predictions and record the outcomes of the investigation. Once the model is deployed, predictions can be consumed for use in the [decision process](#decision-process). For example, this [No-Code AI App](app-builder/index) is an easily shareable, AI-powered application using a no-code interface:

![](images/anti-money-1.png)

![](images/anti-money-2.png)

### Notebook demo {:#notebook-demo}

See the notebook version of this accelerator [here](https://github.com/datarobot-community/ai-accelerators/blob/main/advanced-experimentation/customer_communication_datarobot_gen_ai/effective_customer_communication_datarobot_gen_ai.ipynb){ target=_blank }.

{% include 'includes/aml-4-include.md' %}
