Trace Coverage Ratio

Trace Coverage Ratio is the share of an AI agent's real production steps that are captured, scored, and reviewable after the fact. A voice agent that logs final transcripts but not interruptions, tool calls, or retrieval steps has a low ratio, and every failure becomes a guessing game. Agencies feel this directly: when a client asks why a booking bot double-charged a customer, the answer is either a trace or an apology. Cekura's voice-specific signals (gibberish detection, interruption tracking, latency) and Arize's span, trace, and session evaluations show what high coverage looks like in practice. The framework says to measure coverage before measuring quality, because a score computed over 40% of the pipeline is a score you cannot defend in a renewal meeting. Raise the ratio in stages: instrument first, then score, then alert.