A model never decides
Models read, summarise and propose. They never produce a grade, a severity or a decision. Where a model picks between options, it picks from a list the system built, and the answer is checked again.
How it works
Traustis gathers evidence the way a careful analyst would — from the sources that can actually answer the question — and then applies your rules the same way every time. Here is what happens between a request and a decision.
Step by step
The order matters. Choosing the policy first means the evidence gathered is the evidence your rules actually need — nothing more.
Principles
Using AI in a compliance process is only safe if its role is narrow and checkable. These rules are enforced by the product.
Models read, summarise and propose. They never produce a grade, a severity or a decision. Where a model picks between options, it picks from a list the system built, and the answer is checked again.
When a finding cites a document, the quoted text must actually appear in that document. If it does not, the finding does not stand.
News coverage and web presence are useful signals, but they are proxies. They can send a case to a person; on their own they cannot block one.
The same evidence always produces the same result. Every release is tested against fixed reference cases, so a change to how anything is scored has to be made deliberately.
Sources
A UK registry cannot tell you about an Ohio company, and pretending otherwise is how bad approvals happen. Traustis only asks a source about a company it could hold a record for. When no source covers a check for that country, the case says so.
Your own data
If your team already licenses a data provider, Traustis can route checks through your own account rather than asking you to buy the same data twice.
Traustis is in early access. Tell us what you vet and where your counterparties are registered, and we will show you what it can check today.