Practical AI Monitoring for Business Leaders | Dinsmore & Scholl LLP

AI For Business


Manage AI risk without slowing growth

AI is no longer a future project; it is in the real world, already embedded in many enterprises through third-party tools, and often operated with little oversight. Establishing effective governance and oversight is not about slowing down innovation, it’s about demonstrating diligence and leadership. Regulators, investors, and customers increasingly expect responsible use of AI. Applying the same discipline to financial reporting helps you fulfill your fiduciary duties and protect your interests. As AI adoption accelerates, business leaders who act now will be better positioned to avoid costly compliance failures and protect their reputations.

Focus on business risks, not technical glitches

Business leaders don’t need to know how the model is built. You need visibility into how AI impacts your business, who owns the business, and how issues are escalated. AI risks are typically similar to traditional failures, only faster. Here are six risks that leaders must manage.

  • Bad decisions (operational): The value of AI is determined by data. When setting prices and managing inventory without checkpoints, simple input errors can lead to significant financial losses.
  • Fraud (Cyber): Hackers use deepfake audio to impersonate your boss and steal your money. Training alone is not enough. Apply callback rules for abnormal payments.
  • Over-promise (regulation): Avoid “AI cleaning”. If marketers make claims about AI-driven or fair processes, they risk being audited if they don’t have the documentation to back them up.
  • Hiring bias (hiring): When AI resumes or evaluates staff, it is held accountable for its biases. Be prepared to explain and defend your decision.
  • Data breach (contractual): Many AI tools learn from user input. Without proper input and review procedures, sensitive information can be exposed to public output.
  • Blame game (reputation): Customers don’t like it when companies blame computers. Maintain trust with a clear human owner who will correct any mistakes immediately.

contracts and insurance

Most AI is provided by vendors, and risks are hidden in the fine print of contracts. Demand audit rights, liability protection, and clear data usage terms. Similarly, directors and officers, cyber, and other policies should be reviewed to ensure that AI-related claims are covered. Gaps in coverage can result in minor errors leading to significant financial risks.

Right-sized governance plan

Most companies don’t need an AI department. You just need a layered approach.

  • Phase 1: Add AI to your audit agenda and request usage and accountability reporting.
  • Phase 2: As implementation progresses, assemble a cross-functional team to vet the tool.
  • Phase 3: If AI constitutes a core business function, move to independent testing and require board reporting.

Monitoring AI is not optional, but a fiduciary responsibility to protect growth and reputation. Importantly, the goal of AI governance is not bureaucracy. This is a sufficiently proportionate structure to manage risk and demonstrate oversight without slowing down your business. Not sure where to start? Start by taking an inventory of your AI risks. That is, the tools you are using, their owners, and the controls that are present.

AI governance must be proactively documented to invoke business judgment rules and prove that leadership acted with integrity. Paper trails can be dangerous if defects lack context. To resolve this, ask your lawyer to direct an AI risk assessment under attorney-client privilege. This creates a safe sandbox for honest assessments and informed decisions within safe legal boundaries.

conclusion

AI can improve speed and margins, but without ownership and guardrails, there are familiar risks such as compliance violations, data breaches, vendor failures, and reputational damage. Combine visibility and legal privilege to ensure your business decisions are informed and protected.

Successful boards build accountability, not technical expertise. Start monitoring your AI today. Add to your next board meeting agenda and protect your business before risks escalate.



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