As Artificial Intelligence becomes more integrated into business operations, understanding how to manage AI risk is essential. aiSure™ offers a different approach to insurance by focusing on performance-based cover rather than traditional liability alone, aligning insurance with how AI systems perform in practice.

The process starts by defining key performance indicators (KPIs). These are clear, measurable targets that an AI system must meet, such as accuracy levels or acceptable error thresholds. This ensures that both the business and the insurer have a shared understanding of expected outcomes and system performance.

Once these benchmarks are established, the underwriting process begins. AI models are assessed based on their data, training methods, and historical performance. This detailed evaluation allows for a tailored AI insurance solution that reflects the specific risks of each model.

After underwriting, a policy is structured around the agreed KPIs. This means the insurance is directly linked to how the AI performs in real-world conditions, rather than relying on generalised assumptions about risk or liability.

If the AI system underperforms against the agreed benchmarks, the policy can respond. Depending on the structure, this may include covering financial losses, operational impacts, or contractual liabilities resulting from performance failure.

This outcome-based approach makes aiSure™ particularly relevant for businesses relying on AI for decision-making, automation, or operational efficiency. It provides clarity, transparency, and a more practical way to manage AI performance risk.

By aligning insurance with measurable performance, aiSure™ creates a more modern and effective way to support AI-driven businesses and reduce uncertainty around AI adoption.

Want to understand how AI insurance can work for your business? Contact STP Intasure to explore tailored aiSure™ solutions built around your specific needs.