If AI’s On Your Team, It Needs a Rulebook

Written by James Sanders

Hopefully, you have made an important realization about your business and AI – It’s is no longer a side project—it’s part of how your business actually gets work done. That makes AI less of a “cool tool” question and more of a culture, policy, and liability question. If the software is effectively on your team, you need to treat it that way.

Start with culture. Employees are already wondering what AI means for their job security, their workload, and their growth. If you don’t answer those questions, they’ll make up their own—usually the most pessimistic version. The antidote is a simple, honest message: AI is here to take tasks, not careers. You’re using it to free up people from repetitive work so they can spend more time on judgment, relationships, and higher‑value problems. Pair that message with visible examples: show how AI is helping with notes, drafts, or data, and how the human still owns decisions, client conversations, and outcomes.

Next, put some basic policies in place. Right now, many businesses have unofficial AI use (people quietly using tools) and official silence (no policy at all). That’s a recipe for risk. At minimum, you should:

• Define where AI can and cannot be used (e.g., okay for drafts and summaries; approval required for anything going to customers or regulators).
• Set clear rules around confidential information and personal data (e.g., what can’t be pasted into public tools).
• Clarify who reviews AI‑generated work and signs off before it’s relied on.

Think of this like any other tool that affects quality and risk—if you wouldn’t let a new employee send something out without review, you shouldn’t let an AI output go out without review either.

Finally, tighten up your legal guardrails (yes, talk to people like your Business Attorney). That means looking at:

• Handbooks and policies. Add a short AI section to codify expectations, approvals, and data‑handling rules.
• Contracts and confidentiality. Make sure your vendor agreements and NDAs contemplate AI use—who owns outputs, how data is stored and processed, and what happens if a tool mishandles information.
• IP and ownership. Clarify in your employment and contractor documents that work product created with or aided by AI belongs to the business, not the tool or the individual.
• Accuracy and responsibility. Reinforce that humans remain responsible for compliance, filings, financial reports, and anything that goes to regulators, banks, investors, or customers.

Next week, we’ll bring everything together into a 12‑month “workforce plan” that combines hiring, upskilling, and AI adoption under one roof so you’re not making these decisions ad hoc.