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Can AI help create compliant content faster?

Saifr can help streamline the process of creating complaint content with two new AI capabilities: risk interpretation and suggested language.

Complying with complex regulations is a challenge. Saifr can help streamline the process of creating complaint content with two new capabilities. Now, Saifr’s AI models include risk interpretation—explaining why a flagged word or phrase may pose a compliance risk—and suggested language—providing a more compliant alternative. These two new capabilities can help firms create better, more compliant content more efficiently.

Risk interpretation

Risk interpretation explains why a phrase was flagged by our compliance models. These models understand language and regulations, enabling them to “read” content and highlight phrases or words that may not be compliant.

Our new risk interpretation model takes it a step further and provides the rationale for why something was flagged. The model draws directly from regulatory policies to explain how the content may not be compliant, making it easy for users to quickly realize the compliance risk. Understanding the why can help new marketing and compliance associates learn to anticipate and avoid compliance risks.

Suggested language

As the name implies, our suggested language model suggests alternative, potentially less risky language for flagged content. Users can choose to accept, reject, or build on the Saifr suggestions.

This capability offers unique benefits to both marketing and compliance teams. Marketers can create more compliant materials from the get-go, enabling a cleaner first round of review. Compliance can use the capability during review to efficiently provide suggested alternatives for non-compliant language.

See how it works

Take a look at this example to understand how risk interpretation and suggested language work together to help users produce compliant content.

This sentence would be flagged:

“Investing in XYZ fund provides consistent returns through market ups and downs.”

Next, the risk interpretation model explains why the sentence was flagged:

“This sentence is a potential risk because it is promissory. It implies that the XYZ fund will provide consistent returns regardless of market conditions, which is not guaranteed. This statement is misleading and exaggerated, and therefore violates regulatory content standards, which prohibits firms from making false or misleading statements in their marketing materials.”

Finally, the model suggests alternative sentences that are more compliant, making it easy for in-line changes:

“Investing in XYZ fund seeks to provide consistent returns through market cycles.”

“Investing in XYZ fund is designed to provide consistent returns throughout various market cycles.”

Suggestions are provided in an easily editable text box, so marketing and compliance teams can adapt and finalize language to their exact needs efficiently.

Better content, faster

Saifr’s risk interpretation and suggested language models help content creators catch potential issues and correct them as they are developing content. It’s like having your favorite compliance person alongside you to point out possible issues and make suggestions!

Discover what else Saifr has to offer here.


Sara Walker

Content Marketing Associate
Sara has a background in numerous word-related fields, including nonprofit communications, literary blogging, community media, English tutoring, and now content marketing. She holds a BA in English from Arizona State University.

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