Traditional software testing is not enough for probabilistic AI systems. Evaluation should combine representative datasets, task-level quality measures, retrieval and grounding checks, policy tests, adversarial cases, human review and production monitoring. Tie technical evaluation to business outcomes such as rework, turnaround time, exception rate and user adoption.
AI INSIGHT · General
AI Evaluation for Business-Critical Workflows
A research-oriented framework for measuring accuracy, groundedness, policy adherence, escalation quality and operational outcomes.
InbuiltAI · September 3, 2026 · 10 min read
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