Autonomous AI risk management agents and a proprietary two-axis AI risk model that let enterprises govern their AI, and let insurers and brokers assess, price and transfer it.
Adoption is outpacing controls, litigation is establishing AI as a cause of loss, insurers are entering the market, and regulators are setting the rules. Magile Software turns that landscape into something you can measure and act on.
MIT's AI Risk Repository catalogues 1,600+ risks from academic and industry literature.
MIT AI Risk →AI-related litigation is rising, tracked in the GW Law AI litigation database.
GW Law database →Deloitte projects explicit AI insurance to become a sizable market within a few years.
Deloitte outlook →Regulators across jurisdictions are issuing guidance — led by the EU AI Act.
EU AI Act →One living standard that enterprises use to see their risk and insurers use to price it - continuously updated as AI usage evolves.
Enterprise-wide AI risk posture, 0-100. Gives organizations clear visibility into exposure and a standard insurers can underwrite against.
Line-specific AI exposure, 0-100, backtested against claims - the score that modulates pricing across ten coverage lines.
A team of autonomous agents that measure, govern, comply, transfer and bridge - so your AI initiatives move fast without moving blind.
Quantifies an enterprise's AI risk and tracks changes to its AI risk profile over time.
Helps the enterprise manage and control the risks of using AI across its ecosystem.
Helps the enterprise meet the regulatory requirements of using AI in its industry.
Manages the transfer of AI risk by working with insurers and brokers.
Analyzes gaps in an enterprise's insurance policies and helps bridge them by transferring AI risk.
Everything an insurer needs to enter the AI insurance market and run it profitably - from underwriting to claims to analytics.
Gives insurers the capability to assess and act on enterprises looking to transfer their AI risk.
Produces a comprehensive, always-current score of a customer's AI risk as their use of AI evolves.
Performs the functions of a claims adjuster, improving the productivity of AI-caused claims operations.
Generates continual insights for loss prediction and control, and monitors case law, LLM usage and risk changes.
Delivers tailored AI-risk insight so insurers can build proprietary predictive models for their book.
Helps insurers manage the regulatory aspects of their AI insurance products.
Brokers use the same engine to quantify a client's AI exposure, surface coverage gaps, and place line-matched coverage - winning and retaining accounts with a documented advice trail.
See where your enterprise stands - and what it means for governance, compliance and insurance.
Get started