Evaluation Debt Ratio
Evaluation Debt Ratio measures the gap between how much testing an AI system receives and how much it needs given its production stakes. Agencies often ship client AI features with only ad-hoc checks, treating evaluation as a post-launch afterthought. This framework forces a deliberate calculation: for every dollar of client retainer or every hour of agent runtime, how much evaluation coverage exists? A low ratio means high risk of unpredictable outputs, hidden cost spikes, and reputational damage. For example, a client-facing chatbot handling refunds needs rigorous evaluation, while an internal summarization tool can tolerate lighter checks. Tools like Langfuse, Braintrust, and Arize provide tracing and scoring to quantify this debt, but the framework applies even without them: track the number of test cases per production interaction. Agencies that close the evaluation debt early can charge a premium for 'production-ready' AI, while those that ignore it face client churn.
By InnovaAI ResearchPublished Updated
“Evaluation depth → production risk”
Evaluation Debt Ratio measures the gap between how much testing an AI system receives and how much it needs given its production stakes. Agencies often ship client AI features with only ad-hoc checks, treating evaluation as a post-launch afterthought. This framework forces a deliberate calculation: for every dollar of client retainer or every hour of agent runtime, how much evaluation coverage exists? A low ratio means high risk of unpredictable outputs, hidden cost spikes, and reputational damage. For example, a client-facing chatbot handling refunds needs rigorous evaluation, while an internal summarization tool can tolerate lighter checks. Tools like Langfuse, Braintrust, and Arize provide tracing and scoring to quantify this debt, but the framework applies even without them: track the number of test cases per production interaction. Agencies that close the evaluation debt early can charge a premium for 'production-ready' AI, while those that ignore it face client churn.