Our team is using AI to draft client deliverables like custom analysis reports and project briefs. Do we need to tell our clients that we are using AI to produce these deliverables, and how do we write a policy that protects our brand without slowing down our operations?

Question

Tyler Smith · Accepted Answer

You do not need to apologize for using tools that make you more efficient, but you must guarantee the accuracy of what you deliver. Your clients are paying you for results, not for how many hours you spent typing on a keyboard.

Your AI policy should focus entirely on human validation. Establish a strict rule: any client-facing document generated with the help of AI must be thoroughly reviewed, edited, and signed off by a human team member before it is sent. The policy should state that the human sender is one hundred percent responsible for the accuracy of every word.

In terms of client disclosure, frame the technology around operational improvements rather than the tools themselves. If clients ask, explain that you use advanced data analysis models to ensure thoroughness and speed, but that every deliverable is curated and finalized by your expert team.

Keep your policy simple and document it in your operating manual. Focus on these three core rules:

- Never input sensitive client intellectual property or proprietary data into public AI models.

- Every AI-generated output must undergo human review for brand voice and technical accuracy.

- No deliverable may be sent to a client directly from an automated system without human oversight.

By keeping the focus on quality control and human accountability, you protect your brand while giving your team the freedom to operate at peak efficiency.