Technology
A control plane for AI-assisted productivity.
The missing layer between you and your AI tools: capability brokering, policy enforcement, session persistence, and full observability — provider-agnostic by design.
The problem it solves
Every AI tool brings its own context, its own permissions model, and its own trust story. When you use five of them, you manage five separate systems. None of them know about each other. None of them answer to the same rules.
The control plane sits underneath all of them. It provides one unified policy layer, one session model, and one place to see what's happening.
One control plane. Every tool. Your rules.
Capability brokering
Every capability is expressed as a contract — inputs, outputs, tolerances, success criteria — agnostic to who or what fulfills it. The control plane brokers each capability to the right provider, model, or runtime for the task. You're never locked to a single vendor.
Policy as configuration
What the system may decide on its own, what requires your approval, and what is off limits — all expressed as policy, compiled at the boundary, enforced structurally. Not an honor system. Not a prompt instruction. Configuration that the architecture respects.
Observability
Every action taken on your behalf has a decision trail: what triggered it, what policy applied, what the outcome was, and whether escalation was needed. The system proves its own behavior. You don't have to take its word for it.
Trust is a property of the architecture, not a promise.
Designed to scale
The same architecture that manages one person's assistant can coordinate a team's workflow. The control plane doesn't change shape as scope grows — it accommodates more capabilities, more providers, more agents, and more nuanced policy without re-engineering.