Decision Intelligence in Insurance: What You Need in 2025

Decision intelligence is simply the process of making better decisions using data and technology.

In insurance, decision intelligence helps companies analyze information from policies, claims, and customer behavior to choose the best actions. It is more than just data collection; it combines data, algorithms, and human judgment to improve outcomes.

For example, it can help decide when to approve a claim quickly or identify risks before they happen. This makes insurance faster and fairer for customers and more efficient for companies.

To understand how decision intelligence works, think of these layers:

• Collecting data from multiple sources like customer info, claim history, or market trends.

• Using models and rules to analyze the data and predict risks or opportunities.

• Applying human expertise to fine-tune decisions and handle exceptions.

In insurance, examples include automating claim approvals based on set criteria, recommending personalized policies, or flagging suspicious claims to prevent fraud. Decision intelligence tools use machine learning and advanced analytics to find patterns that humans might miss.

On a more technical level, decision intelligence integrates AI-powered systems with workflows to automate decisions in real time.

This is where Strada fits in. Strada uses voice AI agents combined with intelligent Workflows to make insurance calls more efficient. It can listen to customer requests, analyze the situation instantly, and carry out the right business action fast and accurately.

This automation reduces human error and speeds up service delivery, making the whole insurance process smoother.