AI Governance and Strategy Risk Assessment

Build trust in your AI systems through a governance-first approach

With opportunity comes risk

Artificial intelligence is revolutionizing the way organizations operate, innovate and compete for relevancy. The accessibility of AI can unlock the potential for adopters to strengthen operational outputs, maximize efficiencies and increase corporate opportunities. But with opportunity comes risk, ranging from data privacy issues and regulatory uncertainty to ethical concerns and model bias.

In fact, according to the RSM Middle Market AI Survey 2025: U.S. and Canada, the top implementation challenges cited were data quality and data privacy concerns. Without a clear governance strategy, AI initiatives can introduce significant vulnerabilities and undermine stakeholder trust. That’s why conducting a comprehensive AI risk assessment is a critical first step.

Unlike traditional software, AI can fail unpredictably, posing critical risks in high-stakes areas like health care or finance. It can also amplify existing biases, degrade in performance over time and create regulatory or legal exposure. An AI risk assessment can help your organization proactively identify, evaluate and manage these risks before they escalate, laying the foundation for responsible AI use, supporting regulatory readiness and signaling a clear commitment to ethical innovation.

Responsible AI implementation is no longer optional; it’s essential. RSM’s comprehensive AI Governance and Strategy Risk Assessment follows a governance-first approach—rather than treating governance as an afterthought, we embed governance from the start by guiding and empowering responsible, strategic AI adoption. 

Strengthen your AI strategy with our AI risk assessment

The RSM AI Governance and Strategy Risk Assessment is a tailored risk assessment around any of the five focus areas of AI governance:

The AI Governance and Strategy Risk Assessment is designed to enable your organization to scale your adoption of AI solutions effectively and understand where you stand compared to your peers. Using a systematic approach to identify, prioritize and manage key AI risks, our assessment maximizes value while minimizing corporate harm.

While a conventional risk assessment can effectively lead to risk mitigation across different corporate domains, the RSM AI Governance and Strategy Risk Assessment delivers in-depth analysis focused on AI. Utilizing our proprietary AI Governance Framework, we systematically analyze your risk posture across any of the five AI operations to strategically align with your objectives. The assessment begins with a collaborative scoping phase, which prioritizes the AI domains addressing the most pertinent risks to your organization.

  1. Use case intake governance establishes the criteria to propose, review, prioritize and approve new AI/machine learning options within your organization.
  2. Model lifecycle governance outlines the end-to-end lifecycle of AI models—from development through deployment and decommissioning.
  3. At-scale governance confirms that standards and procedures can be allocated across your entire organization as AI adoption grows.
  4. Product governance validates the responsible design and delivery of AI-embedded products or services offered by your organization.
  5. Data governance relates to the safeguarding of data used within AI tools to maintain the highest quality, security and ethical standards. 

Our AI Governance and Strategy Risk Assessment includes the following key aspects:

  • Scoping relevant AI focus areas
  • Objectively identifying potential risks
  • Prioritizing risk likelihood and impact
  • Evaluating existing governance controls and threats
  • Mapping AI governance using our proprietary framework
  • Developing AI risk management strategies
  • Providing recommendations for continuous improvement and scalability

The assessment is designed to evaluate your existing control environment and vision for AI, identify and prioritize risks, and build a flexible, adaptable roadmap for responsible adoption. 

people

Plan project initiation with stakeholders

assess

Assess current state/environment and existing controls/systems

Analyze

Analyze gap analysis and potential impacts of not addressing risks

roadmap

Roadmap, tailored, actionable recommendations and executive readout

How we leverage our AI governance framework

The proprietary RSM AI governance Framework is at the core of our assessment, providing a comprehensive and adaptable structure to evaluate AI risks across IT, cybersecurity, privacy and compliance by integrating leading frameworks, as well as evolving regulations and standards.

The value behind AI governance

In as little as four to six weeks, you will receive a comprehensive risk profile that identifies key areas for improvement, providing actionable insights to enhance governance and establish the responsible deployment of AI technology and its associated processes. 

Frequently asked questions

Responsible AI starts here

AI presents an immense opportunity, but only for organizations that implement it responsibly. With RSM as your trusted advisor, you’ll be ready to scale AI securely, ethically and strategically. Contact our AI advisors to discover how our RSM’s AI Governance and Strategy Risk Assessment can prepare your AI strategy for the future. 

Contact our artificial intelligence professionals

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