Recourse.ai Prototype Uses Live AI Telemetry to Automate Parametric Insurance Payouts

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A developer has built Recourse.ai, an Android prototype that applies parametric insurance logic to the risks posed by autonomous AI agents in enterprise environments. Traditional Errors & Omissions insurance was designed for slowly changing risks, making it ill-suited for AI systems that can execute thousands of decisions per hour and accumulate damage before human oversight catches a failure. Recourse.ai addresses this by monitoring live agent behavior and automatically triggering payouts when pre-agreed safety thresholds — such as error rate limits or guardrail violations — are verifiably breached, eliminating the need for lengthy claims investigations. Each monitored agent receives a 'Guardrail Maturity Score' derived from real-time operational data rather than static self-reported forms, giving insurers dynamic pricing signals. The prototype was built with the Lloyd's Lab ecosystem in mind and is intended to align insurer and enterprise incentives by directly linking stronger AI guardrails to lower premiums.

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