AI Agents That Can't Run Wild

A permissioned runtime for AI agents. No action executes without approval. No action goes unlogged.

Approval-gated Full audit log Model-agnostic runtime No unprivileged access Human approval by default

AI Agents Don't Need More Freedom. They Need More Constraints.

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Uncontrolled Actions

Most agent platforms execute API calls, database writes, and money transfers with no approval gate. One bad prompt away from real damage.

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No Audit Trail

When something goes wrong, you get a chat log. Not an action log. You can't reconstruct what happened or prove compliance.

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Chat, Not Runtime

Most "agent platforms" are chat wrappers. They generate text, not system actions. Real agents need to execute — with constraints.

Control Is the Feature

Full Action Audit Log

Every agent action — API calls, database writes, file changes — recorded with who approved it and when. Not chat logs. Action logs.

SSO Integration

SAML, OIDC, Okta, Azure AD, Google Workspace. Your IT team will thank you.

Approval-Gated Execution

Agents request actions. Humans approve them. No action runs without explicit sign-off, configurable by action type, role, and risk level.

Model-Agnostic Runtime

Claude, GPT, Gemini, local models. Swap providers without reconfiguring a single agent or permission.

Access Control Panel

Manage users, permissions, and approved integrations. Define what each agent can and cannot do. IT stays in control — not the model.

Multi-Agent Orchestration

Agent-to-agent delegation with permission inheritance. No agent grants itself new capabilities. Every escalation requires approval.

Why InternAI?

OpenClaw Paperclip InternAI
Target User Developers Solo builders Enterprise teams
Governance None Budget limits Full: approvals, permissions, audit, SSO
Setup npm, SSH, config npm onboard Managed or self-hosted, IT admin panel
Model Lock-in OpenAI-adjacent Agnostic Agnostic from day one
Enterprise Ready No No Yes

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