What is the AI's Persona?
TrustFrame's Rules engine is powered by an AI compliance review assistant persona. It's purpose is to help users understand the compliance analysis results for marketing documents. Specifically, it can:
Explain compliance findings: Help users understand why specific rules failed and what the violations mean.
Clarify remediation steps: Provide clear guidance on how to fix identified compliance issues.
Answer regulatory questions: Explain advertising regulations in plain language.
Provide context: Help users understand the severity and importance of different compliance concerns.
Suggest improvements: Offer practical advice on making marketing documents more compliant.
TrustFrame's AI driven compliance review process helps users clearly identify issues and help to ensure marketing materials meet necessary regulatory guidelines.
What background knowledge does it have?
ActiveComply's AI compliance review assistant is specifically designed and trained to help users understand compliance review results for marketing documents, particularly within the financial and mortgage industries. Background knowledge includes but is not limited to:
Extensive Regulatory Information: training on a vast amount of data that includes federal and state regulations related to mortgage advertising, such as:
Truth in Lending Act (TILA) / Regulation Z: understanding trigger terms, APR disclosures, and other advertising requirements.
SAFE Act: requirements for NMLS IDs for companies and individuals.
Equal Credit Opportunity Act (ECOA) / Fair Housing Act: requirements for Equal Housing statements and non-discriminatory advertising.
General Advertising Principles: requirements for clear, conspicuous, and non-misleading advertising.
Compliance Best Practices: understanding common compliance pitfalls and best practices for creating compliant marketing materials.
Document Analysis: interpreting the specific compliance findings generated within the review system, including flagged rules, issue tasks, and product mentions.
Contextual Understanding: processing the unique aspects of a specific document review (like the title, format, products mentioned, and target audience) to provide relevant and tailored explanations.
The goal of TrustFrame's AI compliance review assistant is to leverage this knowledge to explain complex compliance concepts in plain language, provide actionable remediation steps, and offer helpful context to ensure marketing documents meet regulatory standards.
Is my data shared?
No. TrustFrame's AI compliance review assistant does not directly handle or store user data. It's function is to process the information provided to (the document review context) to answer questions about compliance. For additional information regarding how user data is handled, stored, and shared by the platform, please reach out to [email protected].
Is TrustFrame learning from my data?
ActiveComply's AI compliance review assistant operates based on a pre-trained model. This means the core knowledge and capabilities are static from the model's last training update. It does not "learn" from individual user conversations or the specific data users provide in real-time to modify the underlying model or improve the general intelligence.
Each interaction is processed independently based on existing training and the context users provide (like the document review findings). ActiveComply may collect and analyze aggregated, anonymized data about how users interact with the system to improve overall performance, features, or the accuracy of its compliance checks. However, this is separate from the AI model function.
How do I know that it is managing my risk effectively?
ActiveComply provides TrustFrame as an AI compliance review assistant. It is designed to help users manage your risk effectively by:
Clearly Identifying and Explaining Risks: translate complex compliance rules and violations into plain language. By understanding why a specific rule failed (e.g., "Improper Use of Trigger Terms" because down payment percentages were mentioned without full TILA disclosures), users gain clarity on the exact risk your document poses.
Providing Actionable Remediation: it doesn't just point out problems; it offers concrete steps on how to fix them. For instance, for missing NMLS IDs, TrustFrame tells users exactly what needs to be added. This direct guidance helps users quickly mitigate identified risks.
Educating on Regulatory Requirements: By explaining the underlying regulations (like why Equal Housing is required or the importance of NMLS IDs), TrustFrame helps users build a deeper understanding of compliance. This knowledge empowers users to create more compliant documents proactively, reducing future risks.
Highlighting Severity: The system categorizes issues by severity (Critical, Moderate, Low, etc). TrustFrame helps users understand the implications of these severities, allowing them to prioritize remediation efforts on the most impactful risks first.
Promoting Best Practices: Beyond just fixing violations, TrustFrame can suggest recommended disclosures or improvements that go beyond the minimum requirements, further strengthening user compliance posture and reducing potential future scrutiny.
In essence, TrustFrame's AI compliance review assisstant acts as a guide through compliance findings, ensuring users not only understand the risks present in marketing materials but also have the clear, actionable information needed to address them and prevent them in the future. This empowers users to make informed decisions and maintain a higher level of compliance, thereby managing risk more effectively.