ComplianceClient Consent Best Practices

Client Consent Best Practices

Using AI to analyze client data is a powerful capability, but clients should understand how their information is being used. This page provides guidance on disclosing AI usage and obtaining appropriate consent.

Why Disclosure Matters

Transparency builds trust. Clients who understand that AI assists in their financial planning are more likely to appreciate the thoroughness of your analysis. Proactive disclosure also reduces regulatory risk and demonstrates professional responsibility.


What to Disclose

When discussing AI usage with clients, consider covering:

  • AI is used to analyze their financial data and identify planning opportunities
  • Their data is processed through secure, enterprise-grade AI systems
  • Data is not used to train AI models and is deleted after processing
  • A human advisor reviews all AI-generated recommendations
  • They can opt out of AI processing if preferred

Supporting Client Preferences

Sterling's AI Usage Policies let you honor individual client preferences:

Client PreferencePolicy Setting
Comfortable with AI analysisFull Access — AI features work normally
Prefers no AI involvementNo Access — no household data is sent to an AI system
Undecided, or not yet askedNo Access — the default until the client opts in

Document the Conversation

Keep a record of your AI disclosure discussion in your client files. Note the date, what was explained, and the client's expressed preference.


Sample Disclosure Language

Here is suggested language you can adapt for your practice:

Our firm uses AI-powered tools to analyze your financial situation and identify planning opportunities. Your data is processed through secure enterprise systems and is never used to train AI models. All generated insights are reviewed by your advisor before recommending.


Ongoing Communication

AI disclosure is not a one-time conversation. Consider revisiting the topic:

  • During annual reviews
  • When introducing new AI-powered features
  • If a client expresses concerns about technology or privacy
  • When onboarding clients who joined before AI features were available
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