Causely: A Causal Intelligence Layer for Enterprise AI A Benchmark Study on SRE and Reliability Workflows

In three linesCausely is a causal intelligence layer for SRE workflows that structures environment topology and causal dependencies. Benchmark across 4 agent configurations (Claude Code, OpenAI Codex, HolmesGPT): with Causely, mean time-to-diagnosis reduced 63%, token consumption -60%, tool calls -78%, API cost per run -57%, root-cause accuracy 75%→100%.

Summary generated by Claude — human-verified