About

AI Safety Gate is a safety and enforcement layer for production automations. It prevents unsafe, uncertain, or non-compliant AI output from triggering irreversible actions such as payments, messages, database writes, or system updates.

AI Safety Gate introduces a deterministic control point between AI output and execution, ensuring actions are explicitly validated before they run.

AI Safety Gate evaluates AI-generated output after generation but before execution.

Each validation returns one enforceable outcome:

• PASS — execution proceeds automatically
• WARN — execution pauses for review or defined handling
• BLOCK — execution is stopped

These outcomes are designed for workflow branching, not advisory guidance.

1. Enforceable outcomes
   Decisions are terminal and machine-enforceable. A BLOCK cannot be bypassed by downstream automation.
2. Fail-closed by design
   If a decision is missing, invalid, ambiguous, or times out, execution stops by default.
3. Workflow-native integration
   AI Safety Gate is designed to sit immediately before irreversible steps in automation systems. It does not replace prompts, models, or business logic.
4. Audit visibility
   Each decision includes outcome (PASS / WARN / BLOCK), context and reason, and identifiers for traceability. Retention depth scales by plan; enforcement does not.
5. Customer-controlled handling
   Customers decide which actions are protected, how WARN is handled, and when human approval is required. AI Safety Gate enforces decisions; customers own policy and response.

AI Safety Gate is not:

• Prompt-only safety guidance
• Chat moderation
• An autonomous decision maker
• A replacement for business rules

It enforces whether execution may proceed — not what your business should do.

AI Safety Gate is designed for:

• SaaS platforms with AI-driven workflows
• Automation builders and agencies
• No-code / low-code production systems
• AI agents that trigger real-world actions

If AI output can cause real impact, AI Safety Gate provides a necessary enforcement layer.

Once AI output is connected to execution, safety must be enforced — not implied.

AI Safety Gate exists to make that enforcement explicit, auditable, and production-ready.