How do I make AI agent workflows auditable for compliance?
#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
Every user and machine execution is uniquely identified, and every node type supports a human-in-the-loop checkpoint. 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.
#What Swirls is
Swirls is agentic systems as code. Instead of wiring an agent together inside application code, you declare it across .swirls files: the agent, the deterministic workflows it calls as tools, the typed schemas, the triggers, the secrets. Ship with git push or swirls deploy and the system is live on Swirls Cloud.