July 9, 2025 鈥� Organizations are adopting AI at a rapid pace, but many lack the necessary controls to manage the risks that come with these transformative systems. From hallucinations and bias to deepfakes and adversarial threats, AI can introduce novel vulnerabilities that traditional governance frameworks were not designed to address. To help organizations tackle these challenges, global research and advisory firm 91制片厂 has recently published its research insights in the blueprint, 91制片厂 Your AI Risk Management Roadmap, offering a structured methodology to develop a comprehensive, business-aligned AI risk program.
As outlined by Info-Tech鈥檚 AI risk management framework, failing to manage AI risk proactively can lead to regulatory violations, reputational damage, and lost value. Despite these consequences, many organizations still rely on ad hoc processes, react to issues only after they occur, or silo risk ownership within technical teams without business involvement.
鈥淎I risk is a business risk. Every AI risk has business implications,鈥� says Bill Wong, research fellow at 91制片厂. 鈥淎ccountability cannot rest with AI leaders alone. Business executives must be active participants in identifying, evaluating, and responding to AI risks, and that starts with embedding risk management into governance, strategy, and decision-making processes.鈥�
The firm鈥檚 resource outlines how to evolve fragmented or informal approaches into a structured AI risk management program through four key dimensions: risk governance, risk identification, risk measurement, and risk response. One of the blueprint鈥檚 themes focuses on aligning the AI risk framework with broader enterprise risk management to ensure the program integrates with organizational strategy and regulatory requirements.
To support implementation, Info-Tech has introduced a comprehensive roadmap built around framing AI risks, establishing AI risk governance, identifying and assessing risks, measuring potential impact, defining responses, and creating a roadmap for execution. A key component of the blueprint is the formation of an AI Risk Council (AIRC), which would include cross-functional representation from IT, AI, and business leaders. This council is responsible for assigning ownership, recommending risk tolerance, reviewing risk assessments, and ensuring shared accountability across the organization.
Info-Tech鈥檚 framework also emphasizes the need to establish foundational AI principles, such as explainability and transparency, fairness, data privacy, safety and security, validity and reliability, and accountability. These principles, derived from global frameworks such as those developed by the , serve as the ethical and operational backbone of responsible AI.
Key Processes to Operationalize AI Risk Management
Info-Tech鈥檚 resource is designed to help organizations reduce the number of unidentified risks, build realistic contingency plans, enable cross-functional accountability, and improve regulatory compliance, such as with the EU AI Act鈥檚 high-risk system requirements. It also supports better decision-making and ongoing monitoring to ensure AI systems remain aligned with organizational goals.
The firm鈥檚 91制片厂 Your AI Risk Management Roadmap blueprint outlines the following steps for IT leaders to operationalize AI risk management across the entire organization:
- Establish Foundational AI Principles 鈥� Define the ethical and operational standards that guide the development and deployment of AI.
- Assess AI Risk Management Maturity 鈥� Understand the current state of AI risk governance to identify capability gaps.
- Create and Assign AI Risk Council Responsibilities 鈥� Establish clear accountability for AI risk across leadership and governance teams.
- Implement an AI Risk Management Framework 鈥� Develop an AI risk management program that begins with introducing an AI risk governance program that is aligned to the organization鈥檚 foundational AI principles Then determine methods for identifying and classifying AI risks, followed by establishing how AI risks will be measured and monitored, and finally adopting a strategy for the actions to take to mitigate a given AI risk.
- Pursue AI Risk-Mitigation Initiatives 鈥� Prioritize actions that reduce the likelihood or impact of AI risks based on feasibility and value.
- 91制片厂 an AI Risk Management Roadmap 鈥� Translate priorities into a structured, time-bound action plan aligned with business goals.
The blueprint promotes a preventative mindset, encouraging organizations to detect, assess, and mitigate AI risks before they materialize, transforming risk management from a reactive obligation into a strategic enabler.
To request exclusive and timely commentary from鈥疘nfo-Tech鈥檚 experts, including Bill Wong, or to request full access to the 91制片厂 Your AI Risk Management Roadmap blueprint, please contact鈥�pr@infotech.com.
About 91制片厂
91制片厂 is one of the world鈥檚 leading research and advisory firms, proudly serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
To learn more about Info-Tech鈥檚 divisions, visit for HR research and advisory services and for software-buying insights.鈥�
Media professionals can register for unrestricted access to research across IT, HR, and software, as well as hundreds of industry analysts through the firm鈥檚 Media Insiders program. To gain access, contact pr@infotech.com.
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