RVMIT

Agents and control environment

AI agents that work within your rules

A useful agent needs to know what it can look up, execute and send back for review.

Talk about this solution
U.A.I. reviews a permissions flow at the development workstation

The environment

Context, tools and limits for each task.

The agent interprets a request; the control environment defines authorized data, available tools, permissions and review points. The exact form depends on the company's systems and rules.

Person, agent and record lanes: the person asks, the agent works only with authorized context and permitted tools, the person reviews and the result is recorded.
Permissions and review points define the path of each task.

Context

The agent receives only the information that is needed and authorized for the task.

Action

Tools limit what it can look up or propose inside the system.

Supervision

Rules and human review come in where the decision or change requires confirmation.

Flow under control

Permission, review and diagnosis

The scenes are illustrations by the RVMIT team; they do not depict a completed commercial deployment.

Aly and U.A.I. observe permitted data and a blocked item.

Limit the context

Each task receives only the data and tools allowed by the rules defined for it.

Rafael examines an action proposed by U.A.I. at a human review point.

Pause for review

A sensitive change stays paused until a person examines the proposal and decides how to proceed.

Debug, Rafael and U.A.I. observe a paused exception in a hologram.

Investigate a failure

Event logging makes it possible to stop the flow, locate a failure and investigate before resuming.

Decision flow

From a request to a logged action.

  1. Request. The person states what they need.
  2. Lookup. The agent uses the context and the authorized data.
  3. Proposal. A tool prepares the action within the defined limits.
  4. Control. Permissions and human review are applied when needed.
  5. Record. The result returns to the process with context.

First pilot

Start with a small, observable task.

Customer service, lookups, data entry or monitoring can be evaluated according to the process. The pilot defines data, permissions, review criteria and error handling before expanding the scope.

Rafael and U.A.I. follow a scoped request on a holographic panel with review and pause.
A pilot observes a small task, its result and how errors are handled.

Frequently asked questions

Control from the design stage.

Can the agent change data?

That depends on the tools and permissions agreed for the process. Sensitive actions may require human review.

What happens when it makes a mistake?

Failure handling, logging and review are defined in the pilot and depend on the client's environment.

Where are the data and records stored?

Infrastructure, retention and access are defined according to the data policy and the project scope.

Concentric layers: authorized data at the center, surrounded by human review and event logging; infrastructure and retention defined in the project.
Access, review and logging are defined according to the client's process.

Next step

Let's understand your operation.

Tell us the context and the most important rules. The first conversation helps define the right path.

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