AI and Automated Systems Disclosure

What it does: When your AI agent initiates a transaction, our policy engine automatically evaluates it against the spending policies you configured for that agent. This includes checking spending limits, merchant category restrictions, velocity controls, and approval thresholds.

How decisions are made: The policy engine uses deterministic, rules-based logic. It applies the exact parameters you set — not predictive models, machine learning, or behavioral profiling. If a transaction is within your configured limits, it is approved automatically. If it exceeds a threshold you set, it is held for your manual review. If it violates a hard restriction you configured (such as a blocked merchant category), it is declined.

What data it uses: Transaction amount, merchant category code, merchant identity, agent spending history against your configured limits, and your policy settings. The engine does not use your personal demographics, location, credit history, or any data beyond the transaction itself and your configured policies.

How to get a human review: If you believe a transaction was incorrectly handled, contact us at legal@reinx.ai. You can also adjust your spending policies at any time through the dashboard.

What it does: The Reinx copilot is an AI-powered conversational assistant available in the dashboard. It can help with onboarding, agent configuration, understanding your spending data, and navigating platform features.

Important: When you interact with the copilot, you are communicating with an artificial intelligence system, not a human. The copilot does not provide financial, legal, or investment advice. Responses are generated by AI and may not always be accurate. The copilot cannot approve or deny transactions, change your spending policies, or take financial actions on your behalf.

What data it accesses: The copilot can access your dashboard data (agent information, transaction history, spending policies) to answer your questions. It uses the same permissions as your logged-in session — it cannot see data you don't have access to.

What it does: Reinx calculates a score (300–850) for each AI agent based on behavioral patterns. The score is designed to reflect the operational health and reliability of each agent.

What factors influence the score: Transaction regularity, policy compliance history, funding consistency, and usage patterns. The score does not consider the identity, demographics, or personal characteristics of the account holder.

How it is used: Scores are informational and may be used for platform feature eligibility and agent-to-agent trust levels. You can view your agents' scores and contributing factors in the dashboard.