Agents

SlashLife AI agents are executable AI staff designed to operate real enterprise workflows.

They are not chatbots, copilots, or conversational assistants.
They are execution units derived from system architecture and deployed as part of an operational department.

What an Agent Is

In the SlashLife AI system, an agent is:

• A role-bound execution unit
• Configured to operate specific workflows and tasks
• Governed by defined responsibility, permission, and escalation boundaries

Agents execute tasks within structured workflows rather than responding to open-ended prompts.

What an Agent Is Not

To avoid confusion, SlashLife AI agents are explicitly not:

• Conversational chatbots
• Personal AI assistants
• Persona-based characters
• Prompt-driven automation tools

Interaction may involve language, but execution is driven by system structure, not conversation.

How Agents Are Created

Agents are not manually scripted or individually programmed.

They are derived from:

• Architectural execution models defined by the Research Institute
• Structured workflows designed for enterprise operations
• Company-specific configuration for roles, permissions, and scope

This ensures that agents operate consistently across environments and deployments.

What Agents Do

Agents operate workflows that are:

• Language-intensive
• Process-driven
• Subject to operational and compliance constraints

Typical responsibilities include:

• Procurement and supplier communication
• Document preparation and verification
• Trade, logistics, and compliance coordination
• Cross-border operational correspondence

Agents do not improvise roles outside their assigned scope.

How Enterprises Use Agents

Enterprises do not interact with agents as individual users.

Instead:

• Agents are deployed as part of an AI Back-Office Department
• Execution is monitored through logs, verification artifacts, and audits
• Responsibility is managed through system-defined escalation paths

Agents function as operational infrastructure rather than user-facing tools.

Governance and Accountability

Each agent operates under explicit governance constraints:

• Defined permissions and task boundaries
• Verifiable execution records
• Clear responsibility alignment between system and organization

This ensures that agent behavior can be inspected, traced, and managed over time.

Scope and Boundary

This page describes the role and nature of AI agents within the SlashLife AI system.

It does not document agent personalities, APIs, or customization options.
Those are defined and delivered as part of product deployment.