How it works

From request to execution, with control at every step

Secure AI Agents combine context, skills, integrations, and autonomy levels to understand the work and execute tasks within the rules defined by your company.

Execution flow of a Secure AI Agent

Overview

Five layers between the request and the delivered work

Each layer defines part of the agent's behavior. Together, they determine what it does and how far it can go.

  1. 01

    Context

    The agent understands the information, rules, and goals needed to carry out the work.

  2. 02

    Skills

    Specific capabilities allow the agent to execute different types of task.

  3. 03

    Integrations

    The agent can use systems and tools connected to your company's environment.

  4. 04

    Autonomy

    Your company defines how far the agent can act alone and when it needs approval.

  5. 05

    Execution

    The task is carried out following the defined permissions and controls.

Context

The agent starts by understanding the work

Before executing, the agent needs to know what to do and which rules to work within.

Your company provides the information, instructions, processes, and rules that guide how the agent acts in each area.

  • Operational information
  • Area instructions
  • Defined processes
  • Business rules

Skills

Specific capabilities for each task

Skills add capabilities to the agent according to the work it needs to perform. Each skill brings together the procedure of a task, with the steps in the right order, the rules of what the agent never does, and a result that is delivered and verifiable.

  1. Reads contracts, invoices, and reports and points out what matters, always with the source page.

  2. Answers questions by cross-referencing company sources, without making up a number.

  3. Builds reports in the company standard and explains what changed against the previous period.

  4. Records what happened in the CRM and ERP, without duplicating or losing history.

  5. Runs multi-step processes, follows up with each owner, and flags when something stalls.

Integrations

Connected to the tools where work happens

The agent can work using systems and information sources connected to your company's environment, without pulling the team out of the tools they already use.

  • Gmail
  • Slack
  • Salesforce
  • Notion
  • Google Sheets

Autonomy

You define how far the agent can go

Not every action needs the same level of autonomy. Control is set per task, letting the agent move forward alone where it makes sense and ask for approval when needed.

  1. 01

    Suggests

    The agent identifies what should be done. The team decides whether to execute.

  2. 02

    Prepares

    Gets the action ready, pending only confirmation from whoever is responsible.

  3. 03

    Requests approval

    Executes as soon as it receives sign-off from an authorized person.

  4. 04

    Executes

    Completes the task on its own, within the permissions granted.

Higher-impact actions stay under your company's control, even when the agent already operates autonomously on other tasks.

Security

Control does not come later. It is part of execution.

Every access to a real system is treated as a privileged credential, at every stage of the work.

Permissions
The agent accesses only what has been explicitly authorized.
Guardrails
Limits define what can be decided and executed in each process.
Approval
Sensitive actions require human confirmation before completion.
Monitoring
Behavior and operation are continuously tracked.
Traceability
Every action is logged with origin, scope, and result.

Execution

From request to completed work

The Secure AI Agent is not limited to answering questions. Depending on the permissions and capabilities configured, it takes part in executing the work.

  1. 01Request

    A demand reaches the agent.

  2. 02Understanding

    Interprets the request within the area's context.

  3. 03Action

    Uses the authorized Skills and integrations to act.

  4. 04Result

    Delivers the task completed and logged.

Operation visual

Show the work happening, not just the concept

This area is reserved for a future image of the agent executing a real task, with context, systems queried, approval, and result.

AI Agents

The right amount of autonomy for each operation

Define what the agent can query, prepare, approve, and execute within your company's limits.