# How does Unit21 ensure transparency and explainability in AI-driven decisions?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>How does Unit21 ensure transparency and explainability in AI-driven decisions?</strong></p>

##### Post Metadata
- Posted at: 22 days ago
- Net upvotes: 1


## Comments
### Comment 1

Transparency is critical for financial crime programs, especially in regulated industries. Unit21 is designed so that risk teams always maintain visibility into how alerts are generated and how investigations progress.

Detection rules, monitoring thresholds, and workflow decisions are fully visible and configurable within the platform. Analysts can review the signals that triggered an alert, examine related transactions, and understand the investigation path taken.

AI agents support analysts by surfacing relevant data and summarizing case information, but they do not operate as opaque “black box” systems. Instead, they help investigators interpret signals and document decisions in a clear and auditable way.

This approach allows organizations to benefit from AI-assisted risk operations while maintaining the transparency and explainability required for regulatory compliance.


##### Comment Metadata
- Posted at: 1 day ago
- Author title: AI Risk Infrastructure




## Related Product
[Unit21](https://www.g2.com/products/unit21/reviews)

## Related Category
[Anti-Money Laundering (AML)](https://www.g2.com/categories/anti-money-laundering)

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