WorkThe story, in brief
How (un)reliable are AI agents?
Consistency matters more than average accuracy in safety-critical domains
The KeyNews take
Why it matters
As AI agents move into production workflows, reliability measurement frameworks are shifting from aggregate benchmarks to consistency guarantees—a critical distinction for regulated industries like finance and healthcare.
The key facts
4 to knowFocus on consistency vs. average accuracy in safety-critical AI agent deployment
Implications for regulated industries (finance, healthcare)
Challenge to current AI evaluation methodologies
Risk management angle for enterprise AI adoption
Go to the source
Financial Times Technologyft.com