Five Steps to Governed AI
The methodology behind every Factory build. Free, vendor-agnostic, open.
Describe a workflow. Factory builds the agent inside a sandboxed harness, grounded in your systems, formally verified against your rules, and run with your approval.
The methodology behind every Factory build. Free, vendor-agnostic, open.
Tell Factory what you want to build. Attach documents, reference policies, describe exceptions. The Spec Builder asks clarifying questions until the workflow is fully defined.
Drafts persist. You can return, refine, and collaborate. When a spec is ready, it moves to the build line with your sign-off.
No code. No diagrams. Just a conversation that becomes a running agent.
See where this fits your workflow →Most AI products test by running more AI against the output. Factory uses AWS Automated Reasoning to formally prove that your agent's logic satisfies your rules.
This is not statistical sampling. It formally checks that your rules hold across every possible input within the defined schema. If a rule cannot be satisfied, the build fails.
Every agent Factory produces is a versioned, inspectable artifact. You can see what it needs, what it produces, which rules govern it, and every run it has completed.
When something changes (a new regulation, a new custodian, a new policy), you update the spec and Factory rebuilds. Same verification. Same trail.
Show me an agent like this →Every Factory feature enforces a step in the discipline. The five steps are the platform.
Live in 15 working days · Configured to your rules