Uploaded October 2025 | Updated September 2026, 3 weeks ago
In our latest AI research paper reading, we hosted Tara Bogavelli, Machine Learning Engineer at ServiceNow, to discuss her team’s recent work on AgentArch, a new benchmark designed to evaluate and compare AI agent architectures across real-world enterprise workflows.
The motivation behind AgentArch is to “move benchmarking closer to reality.” Instead of synthetic puzzles, it measures performance in environments that mirror how enterprise workflows behave in production.
Learn more about the paper, AgentArch and get a TL;DR here: arize.com/blog/servicenows-tara-bogavelli-on-agentarch-benchmarking-ai-agents-for-enterprise-workflows
In our latest AI research paper reading, we hosted Tara Bogavelli, Machine Learning Engineer at ServiceNow, to discuss her team’s recent work on AgentArch, a new benchmark designed to evaluate and compare AI agent architectures across real-world enterprise workflows.
The motivation behind AgentArch is to “move benchmarking closer to reality.” Instead of synthetic puzzles, it measures performance in environments that mirror how enterprise workflows behave in production.
Learn more about the paper, AgentArch and get a TL;DR here: arize.com/blog/servicenows-tara-bogavelli-on-agentarch-benchmarking-ai-agents-for-enterprise-workflows










