Solutions
Three ways to put a boundary around AI that acts.
Whatever the workflow, the job is the same: make the rules hold while the AI runs, and leave a record somebody else can check.
Most people arrive here from one of three positions. You’re running AI that already touches patient data, a payment or a production system, and you want a boundary around it. You’re selling AI into a security review, and the buyer keeps asking for evidence while you keep sending a policy document. Or you’re the reviewer on the other side of that exchange, reading assurances you have no practical way to check.
The three paths below start from those positions and end in the same place: a signed record of what the control reported, which somebody outside your company can verify in their own browser, with no Glacis account. Start with the one that sounds like you.
AI in production
Supervise the AI you run, with a signed record others can check.
For operators →AI you sell
How your AI is controlled, shown to customers in a record they can verify.
For vendors →AI you oversee
Read the signed record from a vendor’s AI instead of taking their word for it.
For reviewers →Specific workflows
Each page below takes one setting and works through the same three questions: where the AI acts, which rule has to hold at that point, and what a reviewer can read from the record.
Working on a different workflow? Talk to us, or browse the research.