Work inside a policy
An agent that files, reviews, or recommends, and stops when it would go past its authority. A named person takes the action from there. The stop is part of the product.
In regulated work, someone will ask what the system did. We build the application so the policy and the record are in the first release, because that is the environment the product lives in.
Three kinds of work, same as the rest of the firm. Put a model into a job people already do. Rebuild a review around an agent. Or invent the application. In this environment, each one has to be explainable.
An agent that files, reviews, or recommends, and stops when it would go past its authority. A named person takes the action from there. The stop is part of the product.
What went in, what the system did, and who was accountable. The record is written as the call happens. It is not a memo assembled after someone asks.
If the data cannot leave, the application runs on your premises, on the systems you already operate. Aperion is that pattern in production today.
Code, data, and model artifacts stay with you. Your data is not training material for someone else's product. We say what the system must not do before it goes live.
The actions that need a person, the data it may read, and the data it may not. Named in the build, not discovered in an audit.
When the agent goes past its authority, someone specific can stop it. That name is in the record with the call.
The model is developed for the task and scored on your matters, including the ones that went wrong. If another model does the job better, we switch.
The build sits on tools we already operate, pointed at current models. Fewer vendors in the path. The price is the application, said before work starts.
Runtime governance for enterprise agents, in production and on the customer's premises. Policy in the path, a named human when authority is exceeded, a record an examiner can use.
aperion.ai RelatedRisk, forecasting, and operational agents, with every model call explainable and logged. Includes a finance application already in market.
Finance workA record of the call: the input, the action, and the person accountable. Policy sits in the path, so the record is produced as the system runs.
Yes, when the data cannot leave. Aperion runs that way in production. A client build follows the same constraint.
You do. The code, the data, and the model artifacts stay with you. Your data is not training material for someone else's product.
Finance, manufacturing, and e-commerce. The release standard is the same. The job is different.
We'll tell you what we'd develop, whether it has to run on your premises, and what has to be governed before it goes live.