Compound Leverage Platform Documentation

Build, deploy, govern, and operate AI Teams around real business functions.

The Platform defines the workforce independently from the model runtime. Humans manage the work, Digital Employees own defined jobs, skills provide specialized methods, orchestration coordinates work, and the Customer AI Control Plane governs customer context, permissions, data, systems, and tools.

Start here

Understand the architecture

Learn How AI Teams Work or explore the Enterprise AI Team Architecture to understand the relationship between humans, AI Teams, Digital Employees, skills, execution, and governance.

Deploy an AI Team

Use the Deployment Model to understand how an AI Team moves from configuration and validation into an approved customer environment, and how human management fits into operation.

Explore AI Teams

See how the architecture becomes a complete business function through the AI Capture Team and AI Proposal Team.

Connect your environment

Learn how tools and enterprise integrations, Model Context Protocol, and the Customer AI Control Plane provide governed access to the information and capabilities needed to perform work.

Platform lifecycle

Define work → Assemble team → Connect tools and context → Deploy → Govern → Improve

The documentation follows that lifecycle so architecture, deployment, execution, and governance can evolve without tying the workforce to a single model provider or interface.

Core concepts

• Digital Employees define jobs, responsibilities, boundaries, and outputs.
• Skills contain reusable methods, criteria, checks, and expected outputs.
• Orchestration manages state, handoffs, validation, blocked work, and human gates.
• The Execution Layer makes jobs executable through supported AI environments and tools.
• The Customer AI Control Plane governs identities, permissions, policies, context, data access, and tool access.
• AI Agent Tools and Enterprise Integrations provide approved capabilities for retrieving information and taking action.