REPORTED DEVELOPMENT
A study published on arXiv on 1 October 2026 presents 240 trials of AI agents performing economic-value attribution tasks. Of 175 executions that passed all applicable final numerical checks, 162 (92.6%) contained at least one additional deviation detected by process checks.
The research distinguishes numerical outcomes from correct tool calls, operating sequences and data persistence. It covers one system and two related skills: 92.6% is not a general enterprise-agent error rate, nor necessarily the frequency of harmful errors.
WHY IT MATTERS TO THE MARKET
Reliable evaluation must separately verify the result, the authorised process and the integrity of records.
MARKET EVIDENCE
SOURCE-LINKED INDICATORSPeer-accessible experimental evidence separates answer correctness from the integrity of the process producing that answer.
Evaluate economic attribution and executive dashboards using separate tests for numerical output, authorised operations, tool-call sequence and persisted records.
The 92.6% denominator is only the 175 numerically passing trials in one experimental setting. A process deviation is not necessarily a harmful operational outcome.