The data behind our approach.
We don't ask you to trust our claims. We show you the market data that validates them - adoption rates, production gaps, security concerns, and the business value of workflow automation.
88%
of organizations now use agents or copilots in at least one business function
23%
of organizations are scaling autonomous agents beyond pilots
69%
of IT and security leaders say security concerns are slowing autonomous agent adoption
Sources: McKinsey, Okta, Gartner, IBM - 2025-2026. Full citations at /sources.
Why agents stall in production
Agents are widely adopted, but most organizations are still early in taking them from experimentation to full-scale use. The gap between a demo and a workflow doing real work is where most projects get stuck.
Workflow automation ROI
When workflows are automated well, organizations save time, reduce manual effort, and improve accuracy. Here is what the data says - and how to scope one workflow to see the return.
Security, evidence, and human control
Security and oversight are not side issues - they are deployment blockers. The data shows that trust, control, and access management are what slow agent adoption.
How we take one workflow live
The gap between a working demo and a workflow in production is where most projects stall. Here is our methodology - and why it works where pilots don’t.
Industry benchmarks by workflow type
Across industries, the best candidates for automation tend to be repetitive, cross-system workflows with delays, handoffs, and exceptions. Here is what the data says.
Agents in production: the gap between use and readiness
A summary of the current state of enterprise agent adoption, the production gap, and what is slowing it down. Based on industry surveys from 2025-2026.