Preloop vs Yebo

Preloop is the human approval layer for autonomous AI agents. When your agents attempt risky actions like deployments, refunds, or data changes, Preloop intercepts the request and routes it to you for approval right on your iPhone or Apple Watch. The right people in your organization get instant notifications with full context, approve or decline with one tap, while your organization maintains a complete audit trail for compliance. Preloop enables event-driven automation through Agentic Flows - let AI agents handle routine work automatically while you control critical decisions. Setup takes 3 minutes as an MCP proxy, works with Claude and Cursor, and requires no infrastructure changes. Risk-based policies ensure only high-stakes actions need approval while low-risk operations run automatically. AI agents can't take legal or moral responsibility for their actions - Preloop ensures humans stay in control. Perfect for engineering teams, DevOps, and anyone deploying autonomous AI in production. Enterprise-ready, designed for SOC2 compliance, role-based access, and secure end-to-end encryption.

AI agents are becoming powerful enough to negotiate tasks, plan workflows, and interact with services across the internet. But when an agent reaches the moment where it needs to execute a real-world action such as sending a payment, committing to a contract, or triggering an external API . Developers need a reliable way to verify that the action is allowed before it happens. Yebo provides that control layer. Yebo acts as an authorization and orchestration system for AI agents and autonomous workflows. Developers connect their AI systems using a simple API, and when an agent wants to perform a sensitive action, the request is routed through Yebo first. Yebo evaluates the request against developer-defined policies, checking permissions, allowed capabilities, budgets, and execution conditions. If the request meets the policy rules, the action is authorized. If not, it is blocked automatically. This approach allows developers to safely connect AI agents to real-world systems without giving those agents unrestricted access. The AI continues to think, plan, and reason normally but any action involving payments, contracts, or protected services must pass through Yebo's verification layer. Yebo is designed to integrate easily with modern AI architectures, including agent frameworks and autonomous systems. Instead of redesigning their agents, developers simply add Yebo to the execution path, enforcing policies and maintaining full control over what actions are permitted. Every authorized action generates a verifiable execution record, allowing teams to review what the agent did and why it was approved. This maintains trust and accountability when deploying AI systems that interact with real services. AI agents can decide what to do. Yebo ensures those decisions are safe to execute.