The evidence behind
the autopilot.
How we measure autonomous work, what it delivers in production, and the governance that keeps it safe. Everything here is drawn from real deployments running across 60+ countries — not demos.
Four ways to look under the hood.
Peer-reviewed rigor applied to messy, real-world operations. Start wherever your questions are sharpest.
How we measure autonomous work — and what it scores
Our evaluation methodology, the OneStaff Operations Benchmark, and head-to-head results against human baselines and point tools across sales, finance, support and inventory.
View benchmarks Case StudiesEnterprise deployments, with the numbers
How operators at high-growth and Fortune 500 companies put OneStaff.ai into production — the workflows, the guardrails, and the measured outcomes.
Read case studies Industry ReportsThe State of Autonomous Operations
Original research on where agentic AI is being adopted, what it is displacing, and the operating metrics that separate leaders from the pack — by sector.
Browse reports Safety & GovernanceAutonomy you can put in front of an auditor
Our safety framework, the guardrail architecture, red-teaming program, and the enterprise controls — SOC 2, GDPR, SSO, data residency — that make it defensible.
Read the frameworkMeasured in production, not in a lab.
Real workloads
Every number here comes from live tenants doing real operational work — not synthetic tasks or cherry-picked demos.
Human-graded
Outcomes are scored against expert human baselines and reviewed by domain specialists, with inter-rater agreement reported.
Reproducible
We publish methodology, cohort size, and confidence intervals so results can be scrutinised — and so we can be held to them.
Want the numbers for
your operation?
Bring one workflow that drains your team. We'll benchmark OneStaff.ai against it live and share the methodology.