AI Tools Guidance & Secure Adoption

AI tools are moving faster than most businesses can evaluate them. The ones that get adopted carelessly create risks most users don't see coming.

The productivity case for AI tools is real. Writing, summarizing, researching, drafting, coding, analyzing — the right tools genuinely reduce the time and effort those tasks require. The problem isn't that AI tools are dangerous. The problem is that most of them were not designed with the data handling requirements of a regulated professional firm in mind, and the default configurations of most consumer and business AI platforms are not appropriate for environments that handle client financial data, protected health information, or confidential business information.

What happens to a document you upload to an AI platform for summarization? Where does the content of a prompt go? Does the platform use your inputs to train its models? Who has access to the conversation history? For most users, the answer is "I assumed it was fine" — which is not a documented data handling decision and is not an appropriate answer for a firm operating under FTC Safeguards or HIPAA.

We help you evaluate AI tools against your specific environment and compliance obligations, identify the ones that are appropriate for your use cases, configure them to minimize data exposure, and train your team to use them effectively without creating the risks that come from unmanaged adoption.

What's covered

• AI tool inventory and assessment — documenting the AI platforms currently in use across your organization, whether formally adopted or independently used by staff, and evaluating each against your compliance requirements
• Use case evaluation — identifying where AI tools can deliver genuine productivity benefit in your specific workflow and where the data handling risk outweighs the value
• Platform selection guidance — evaluating enterprise-grade AI tools with appropriate data handling commitments, privacy terms, and compliance documentation against your requirements
• Configuration and data handling controls — setting up approved AI platforms with settings appropriate to your environment, including prompt history controls, data retention settings, and integration permissions
• Acceptable Use Policy development for AI — written guidelines covering what AI tools are approved, what data can and cannot be used with them, and what employees are responsible for verifying before relying on AI-generated output
• Staff training on approved AI tools — practical sessions covering effective use, appropriate prompting, output verification, and the specific boundaries your policy establishes
• Ongoing evaluation as new tools emerge — periodic review of the AI landscape as platforms evolve and new use cases become relevant to your business

Why this matters for your compliance program

FTC Safeguards and HIPAA both require that you know where your data goes and that access to sensitive information is controlled and documented. An employee uploading client tax documents to a consumer AI platform to generate a summary is a data handling event — one that may violate your policies, your client agreements, and your regulatory obligations, regardless of whether the employee intended any harm.

The goal isn't to prevent your team from using tools that make them more productive. It's to make sure the tools they use are the right ones, configured correctly, understood clearly, and governed by documented policies that hold up when questions arise. Managed AI adoption is a competitive advantage. Unmanaged AI adoption is a liability waiting to be discovered.