Artificial intelligence enters risk management with a new tool for small businesses

Saturday 08 August 2026 - 13:44

By: Azzat Manal

Artificial intelligence enters risk management with a new tool for small businesses

Artificial intelligence is opening a new avenue for small businesses seeking to identify and manage external risks. A technology tool called Blanket is attempting to connect companies' potential vulnerabilities with event-based contracts that could be relevant to specific market risks.

The platform uses artificial intelligence to examine a company's activities and identify external factors that could affect its performance. It can then search for event-based contracts available through Kalshi that correspond to some of those risks.

The analysis can cover a broad range of factors, including weather conditions, climate-related events, energy prices, tariff changes, political developments, economic indicators and election outcomes. The risks considered depend on the company's sector and the information provided by the user.

Blanket does not operate as a financial intermediary or execute transactions on behalf of its users. Instead, its role is to analyze potential risks and identify contracts that may be relevant to those risks. Any decision to enter into a contract remains with the user through the relevant trading platform.

The developers emphasize that Blanket operates independently from Kalshi and is not a product owned by the event-contract platform. Kalshi provides the marketplace where eligible contracts can be traded, while Blanket uses artificial intelligence to help businesses analyze their exposure to external events.

Event-based contracts generally produce outcomes according to whether predefined events or indicators reach specified conditions. Depending on the market, they can relate to elections, economic data, corporate results or weather-related developments.

The concept could be particularly relevant to smaller companies, which often lack dedicated risk-management departments or large financial teams capable of monitoring numerous external variables simultaneously.

By automating part of the risk-identification process, tools such as Blanket aim to make sophisticated analytical techniques more accessible to smaller businesses. Instead of manually monitoring a wide range of economic, political and environmental indicators, companies can use automated analysis to identify potential areas of vulnerability.

The emergence of these technologies reflects a broader trend in financial technology, in which artificial intelligence is increasingly being used to process large amounts of information and identify relationships between business risks and market indicators.

However, the usefulness of any risk-management tool depends on the quality of its data, the accuracy of its analysis and the way companies interpret its recommendations. Artificial intelligence can help identify potential scenarios, but it cannot eliminate uncertainty or guarantee a particular financial outcome.

As AI continues to expand into financial services, the development of tools designed specifically for smaller businesses could contribute to a wider democratization of risk analysis. The growing interaction between automated data analysis and event-based markets nevertheless raises important questions about regulation, transparency and the responsible use of emerging financial technologies.