The Value-Risk Flywheel framework aims to help CIOs balance AI-driven business value with governance and operational risks, as adoption outpaces oversight mechanisms.
Technology research and advisory firm Gartner has introduced a new framework, called the Value-Risk Flywheel, to help Chief Information Officers (CIOs) assess the business value generated by artificial intelligence (AI) alongside the risks associated with its deployment. The framework is designed to support enterprise decision-making as organisations expand their use of AI and autonomous systems.
According to Gartner, the framework examines two forces influencing AI outcomes: momentum and drag. It proposes that organisations should not treat faster AI adoption as inherently beneficial or assume that all operational constraints negatively affect performance.
Instead, CIOs are encouraged to identify activities that accelerate business value while retaining controls that help manage risks.
Daryl Plummer, Distinguished Vice President, Managing Vice President and Chief of Research at Gartner, said organisations need to align AI-generated value with the risks involved in its implementation.
"The best thing a CIO can do is to align value with risk and align safety with governance," Plummer said.
The framework distinguishes between positive and negative momentum, as well as beneficial and detrimental drag. Gartner suggests that effective technology leadership involves encouraging activities that generate measurable value, reducing counterproductive processes and retaining safeguards where necessary.
For example, in software development, AI-generated code can reduce time spent on manual programming. This allows developers to focus on prototyping, system architecture, product engineering and requirements-based development.
However, organisations must also determine which oversight mechanisms are necessary to ensure that increased productivity does not introduce additional operational or governance risks.
Gartner's framework places a central decision-making authority, referred to as the "governor", at the centre of the flywheel. This authority is responsible for determining acceptable risk levels, evaluating business priorities and guiding accountability across AI initiatives.
Kristin Moyer, Distinguished Vice President Analyst and Gartner Fellow, described the governor as a centralised authority responsible for providing guidance on accountability, technology and economic considerations.
The framework comes as enterprise adoption of agentic AI continues to expand, raising questions about whether governance structures are developing at a comparable pace.
A Gartner survey conducted during the second quarter of 2026, involving more than 2,000 CIOs and technology executives, found that 71 per cent of organisations expected to deploy agentic AI within the following 12 months.
However, only 21 per cent reported having governance mechanisms specifically designed for agentic AI.
The findings indicate a gap between planned adoption and existing oversight arrangements, particularly as organisations introduce AI systems capable of carrying out tasks with greater autonomy.
Gartner said the Value-Risk Flywheel is intended to help CIOs evaluate these competing requirements and establish decision-making processes that account for both potential business outcomes and associated risks.
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