Agentic Process Automation in Insurance: What It Means for 2025

Agentic process automation means using technology to automatically handle tasks that usually need human decision-making, especially in insurance.

This kind of automation is not just about simple repetition, like filling forms or sending emails. It involves systems that can think and decide on their own, working alongside people to speed up insurance processes. For instance, it can review claims, detect fraud, or personalize customer service without needing constant human input. This fits into insurance by making operations faster and more accurate while reducing errors.

Here are some key features that explain agentic process automation:

• Autonomy: The system makes decisions based on rules and data.

• Learning ability: It improves over time with more information.

• Integration: Works within existing workflows without replacing humans.

When you look deeper, agentic process automation combines artificial intelligence, data analytics, and process management. It uses technologies like machine learning and natural language processing to understand complex insurance tasks and act in real time.

For example, it can listen to customer calls, extract useful information, and immediately update policies or start claims. This is where tools like Strada come in. Strada uses voice AI to capture call insights instantly and automatically trigger insurance workflows, making agentic process automation practical and efficient.

Some common agentic process automation applications include:

1. Claims processing with automated fraud checks.

2. Real-time policy updates after customer calls.

3. Personalized underwriting decisions based on data analysis.

In 2025 and beyond, agentic process automation will help insurance companies handle more tasks quickly, reduce human error, and focus employees on strategic work rather than routine action. It blends technology organically with daily operations to improve the whole process chain.