Straven Co

A Straven Institute article · 2 min read · 2026

Gap between vendor benchmarks and real-world performance

More from the Institute: The current body of work

The Hidden Dangers in AI Decision-Making: Why Vendor Benchmarks Fall Short

In regulated industries like healthcare, insurance, and financial services, the consequences of an unexamined AI decision can be severe. A failure to assess the real-world performance of these systems against vendor claims can lead to poor governance, legal liability, and ultimately harm to patients, customers, or investors. This “Signal Degradation problem” is a significant challenge for organisations seeking to harness AI’s potential while maintaining their reputation and regulatory compliance.

The gap between vendor benchmarks and real-world performance arises from the claim-versus-conditions mismatch Straven & Co tests. Vendors often use carefully designed test cases and data, while real-world implementations face varying operational environments, diverse user interactions, and unpredictable complexities. This disparity means that AI systems may work remarkably well in laboratory settings but struggle to deliver consistent results when applied in practical scenarios.

Organisations like yours are exposed to three risks: capability risk (does the technology do what was claimed?), governance risk (can the decision be defended when boards or regulators ask), and liability risk (what is the organisation accountable for when the AI errs). The Signal Degradation problem sharpens these concerns, as vendors may use biased data, misrepresent performance metrics, or omit critical factors in their assessments.

To mitigate these risks, prudent organisations take strategic and compliance steps to ensure accurate evaluation of AI systems. This involves testing against real-world scenarios, reviewing internal governance and risk management processes, and staying informed about regulatory requirements and enforcement actions.

Independent validation by Straven & Co helps protect your organisation from the cost of an unexamined AI decision. By examining the proposed solution against the client’s operations, people, governance obligations, and legal exposure, we deliver a plain verdict: proceed, proceed with conditions, or do not. Our independence is key to this process, as we have no product to sell and earn nothing by recommending more. This ensures that our assessment can be trusted, providing critical guidance for executives and decision-makers in regulated industries.

Straven & Co examines AI decisions before they are acted on: stravenandco.com