Enterprise-Bench.
Measuring AI agent reliability at production scale. A 10-minute
overview of the methodology, its findings, and its limitations.
Does your AI agent still perform when the ticket queue reaches 30,000 or more?
Most AI agents are tested on small, clean datasets before encountering years of service records across CRM, ITSM, and knowledge bases. As that data grows, pilot performance may not reflect production reliability and common benchmarks rarely test at this scale.
Enterprise-Bench closes this gap. It is a public, vendor-neutral benchmark that evaluates AI agents across connected enterprise data at up to 256x scale.
In this report, you’ll learn:
- How governed retrieval maintained 92–97% accuracy across 256x data growth
- Why data-access architecture matters more than model choice
- How precision, efficiency, and safety provide a clearer measure of production readiness
About
DevRev helps organizations connect enterprise knowledge, workflows, and AI into a single platform for service management and business operations. By enabling AI to understand context and take action across systems, DevRev supports more efficient operations, improved collaboration, and better service experiences.
