Artificial intelligence is transforming how organizations operate. From customer service and financial reporting to marketing, cybersecurity, and decision-making, AI is creating new opportunities to improve efficiency and drive growth.

However, many organizations are adopting AI faster than they are managing the risks.

The question is no longer whether your organization is using AI. The question is whether you understand where AI is being used, the risks it creates, and whether appropriate safeguards are in place.

Many organizations struggle with a basic challenge: visibility. Employees may use generative AI tools independently. Vendors may embed AI capabilities into existing software. Business units may adopt AI solutions without centralized oversight. As a result, leadership may not have a complete picture of AI use across the organization.

A strong starting point is creating an inventory of AI tools, use cases, business owners, and third-party providers. Organizations cannot effectively manage risks they cannot see.

Organizations should also consider whether they have established an AI risk appetite. Leadership should define acceptable uses of AI, expectations for human oversight, data protection requirements, and escalation procedures when issues arise.

Boards, audit committees, and executive teams should ask:

Governance and Accountability

  • Who owns AI risk across the organization?
  • Have we established policies and approval requirements for AI use?
  • Are employees accountable for reviewing and validating AI-generated outputs?

Risk Management

  • Have AI risks been incorporated into enterprise risk management?
  • Have we assessed privacy, cybersecurity, regulatory, ethical, and third-party risks?
  • Do we understand our highest-risk AI use cases?

Data Security and Privacy

  • What information is being entered into AI systems?
  • Are controls in place to protect sensitive and confidential data?
  • Have AI-specific cybersecurity threats been considered?

Human Oversight and Ethics

  • How do we evaluate AI outputs for accuracy and fairness?
  • Are humans maintaining oversight over high-impact decisions?
  • Is there a process for reporting AI-related concerns?

Third-Party Risk

  • How are AI vendors evaluated and monitored?
  • Do contracts address security, data rights, and accountability?
  • Do we understand our reliance on third-party AI providers?

Leaders should also prepare for failure scenarios. What happens if an AI tool generates inaccurate information, exposes sensitive data, or becomes unavailable during a critical process? Effective governance includes contingency planning and clear response procedures.

As AI adoption accelerates, internal audit functions and professional advisors can help organizations assess AI readiness, strengthen governance, identify control gaps, and evaluate emerging risks. Independent assessments provide valuable insight into whether current practices align with organizational goals and risk tolerance.

AI offers tremendous opportunities, but success will not be determined by who adopts it first. Success will belong to organizations that balance innovation with strong governance, clear accountability, and effective risk management.

The question is no longer whether AI will impact your organization. The question is whether your organization is prepared.

Strengthen Your AI Governance Strategy

As AI becomes more integrated into business operations, having the right governance framework in place is essential. Dean Dorton’s AI Security Governance service helps organizations establish clear accountability, identify potential risks, and implement safeguards to support responsible AI adoption.

Learn how Dean Dorton can help strengthen your AI governance strategy.