How do I make AI agent workflows auditable for compliance?
Run evidence stays attachedrun and trace identified
#The question
When someone asks "How do I make AI agent workflows auditable for compliance?", they want a repeatable path from definition to running system. Swirls gives you one: .swirls files describe the system, and git push or swirls deploy ships it to Swirls Cloud.
#Who's asking
Security / compliance owner. Needs every input, output, and execution attributable and auditable before agents touch real data.
#Why Swirls is a fit
User and machine executions carry identity, and workflows can include durable human review checkpoints. Workflows are declarative, repeatable, and auditable by construction.
Because the whole system is described in the Swirls DSL, you apply the same static analysis to agentic workflows that you already apply to code. The runtime enforces the policy you declared.
