As our clients become increasingly concerned about data security and intellectual property when we use AI to handle their files, how do we update our operational standards on our V/TO to address these expectations?

Question

Tyler Smith · Accepted Answer

Addressing client concerns about data security and intellectual property is critical as AI becomes central to your operations. Your clients expect that their proprietary information is protected and that your use of automated systems does not expose their sensitive data to public machine learning models. To maintain trust, you must codify your AI usage guidelines and make security a fundamental part of your operational standards on your V/TO®.

Start by evaluating your internal workflows. Identify where client data is being processed. If your team is copying sensitive information into public AI interfaces, you have an operational risk. Transition your workflows to secure, enterprise-grade systems or private instances where data is not used for public model training.

Next, document these security protocols clearly in your core processes. Update your Accountability Chart to make sure a specific seat is accountable for auditing these systems regularly and ensuring compliance with data privacy regulations.

Once your internal security measures are tight, make this compliance a selling point. Inform your clients about the steps you take to protect their intellectual property while utilizing AI to speed up delivery. By setting these high operational standards on your V/TO®, you turn a potential client concern into a powerful differentiator that demonstrates your professionalism and maturity.