1. AI Use Cases in Healthcare & Finance

Early-stage and mid-sized companies in healthcare and finance can leverage artificial intelligence to automate key processes, reduce costs, and improve decision-making. Below are high-impact use cases and how they create value in each sector:

Fraud Detection: AI can quickly analyze large datasets to identify anomalous patterns that suggest fraud. In healthcare, fraudulent claims (e.g. duplicate charges or unnecessary treatments) cost the U.S. ~$300 billion annually (AI Healthcare Fraud Detection: The Future of Healthcare Security - Markovate). AI systems monitor billing patterns and spot inconsistencies far faster than humans (AI Healthcare Fraud Detection: The Future of Healthcare Security - Markovate). For example, machine learning models can flag upcoding or unusual treatment combinations in insurance claims in real time. In finance, banks and insurers use AI to detect credit card fraud, insider trading, and money laundering. AI-driven surveillance tools can comb through transactions and communications to detect suspicious behavior (even deciphering slang or code words), moving beyond simple rule-based checks (AI Applications in the Securities Industry | FINRA.org). These systems reduce false positives and free up investigators to focus on confirmed risks (AI Applications in the Securities Industry | FINRA.org). AI-based KYC/AML solutions also improve compliance by identifying potential money laundering or terrorist financing activities that traditional methods might miss (AI Applications in the Securities Industry | FINRA.org).