
Preflight AI
By tamara ode
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"Pre-execution safety and control layer for AI agents"
Licensing & White-Labeling
Available for technology licensing, API/OEM integration and selected white-label partnerships. Buyers can integrate Preflight AI into their own AI products under terms agreed for each use case.

About this Product
Preflight AI is a pre-execution control layer designed for AI agents and automated workflows. Instead of reviewing an action only after it has happened, Preflight evaluates the proposed action before execution. The system can determine whether an action should proceed, require additional review, or be blocked according to configurable rules and risk signals. It is designed for companies building or deploying AI agents, automation platforms and AI-powered software that need an additional layer of control between an AI decision and a real-world action. Preflight is currently an MVP with a working web demonstration and is available for licensing, integration and selected white-label or OEM opportunities. Licensing terms and implementation scope can be negotiated based on the buyer's use case.
New / Pre-Revenue Product
This product is new or pre-revenue, focused on features and potential.
Use Cases
Preflight AI helps teams control AI agent actions before execution. It evaluates a proposed action, assesses risk and impact, and returns an ALLOW, REVIEW or BLOCK decision before the action reaches the target system. It is designed for agentic workflows where organizations want a control point between an AI agent's decision and a real business action.
Ideal For
AI and SaaS companies, agent-platform builders, developer-tool vendors and software teams building autonomous or semi-autonomous workflows. It is especially relevant to buyers that want to add a pre-execution safety and approval layer to their existing AI product rather than build one from scratch.
Why This Product?
Preflight AI focuses on a narrow control point: before execution. Instead of relying only on monitoring or reviewing actions after they occur, it evaluates the proposed action first and returns a clear ALLOW, REVIEW or BLOCK outcome. The MVP demonstrates configurable policy decisions, risk scoring, human approval for selected actions, controlled execution and an audit trail through a simple integration surface. Its focused architecture makes it suitable for licensing, OEM integration or adaptation inside an existing AI product.
Time to Launch
Depends on integration scope; working MVP available now.
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Seller
tamara ode