Feature

Autonomy with guardrails.

Fine-grained permissions, human-in-the-loop approvals, scope boundaries, and full audit trails. You decide exactly what each agent can do, and review everything it did.

What you get

Fine-grained permissions

Each agent gets explicit capabilities: read data, send messages, search records, create tasks. Nothing is on by default. You opt in to each one.

Human-in-the-loop

Flag specific actions for approval before they execute. Agents pause, present what they want to do, and wait for your go-ahead.

Scope boundaries

Limit what an agent can see. Include or exclude specific data sources, restrict which integrations it can access, and set clear boundaries.

Full audit trail

Every action, lookup, and request is logged. You can inspect exactly what an agent did during any run, down to individual operations.

Run inspection

Review run logs in detail: each step with its inputs and outputs, timing, errors, and the reasoning behind every decision.

Secure execution

When agents run tasks, they execute in isolated, secure environments. No access to your live systems, no side effects outside the workspace.

How it works

When creating an agent, select which permissions it needs: read data, send messages, search records, run tasks, and more.

Optionally enable human-in-the-loop for sensitive actions. The agent pauses and asks for approval before proceeding.

Set scope boundaries to limit which data sources, tools, and integrations the agent can access.

After each run, review the full audit trail. Every step, decision, and output is recorded and inspectable.

Ready to get started?

Set up your first AI agent in minutes. Connect your tools, tell it what to do, and let it run.