Enterprise AI Governance That Actually Works
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An Efficacy Assessment is a qualitative evaluation of how effectively your AI system performs its intended purpose. It focuses on whether the system delivers outputs that are useful, relevant, and aligned with the defined use case.
An AI system that is safe but ineffective still creates business and governance risk. It wastes resources, erodes confidence in AI-driven processes, and can lead to poor decision-making. Our Efficacy Assessment helps you verify that your AI systems are actually delivering real value.
Organizations invest in AI systems to solve specific problems - whether that is automating a process, improving decision-making, or enhancing a product. If the system is not performing well against those goals, it is not just a technology issue. It is a governance issue.
An ineffective system might produce inconsistent results, miss important patterns, or generate outputs that do not align with what was expected. Our Efficacy Assessment helps you catch these issues and make informed decisions about whether a system is ready for deployment, needs improvement, or should be retired.
Our Efficacy Assessment looks at your system's performance from multiple angles:
The assessment applies qualitative criteria to determine whether the system meaningfully satisfies its objectives - not just whether it produces technically correct responses, but whether those responses actually solve the problem it was built to solve.
Efficacy is one of the six risk dimensions we evaluate during Risk Mapping. The Efficacy Assessment provides a deeper, focused review of system performance. Results support governance decisions related to whether an AI system should be approved for deployment, scaled further, or reconsidered.
Efficacy results also feed into our workflow and reporting capabilities, giving stakeholders a clear view of whether each AI system in the inventory is performing as expected.