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How does artificial intelligence improve the claims process in digital insurance?

AI in Digital Insurance: Streamlining the Claims Process

Claims are where insurance gets real. A smooth quote journey is nice, but when a customer’s car is crunched, roof is leaking, or paycheck is paused, the claims process becomes the make-or-break place to build trust in their relationship with you as the insurer.

This is where AI can come into play to help improve the claims process — when connected to a modern digital insurance core platform, artificial intelligence can help insurers move claims faster, spot fraud sooner, reduce manual work, and keep customers informed in real-time.

What is the role of artificial intelligence in digital insurance?

Artificial intelligence (AI) can analyze data, recognize patterns, make predictions, and support decisions. In digital insurance, AI shows up across underwriting, customer service, billing, distribution, and claims. It helps insurers work through large amounts of data quickly, flag exceptions, and automate tasks.

The use of AI in insurance claims is one of the clearest areas of impact, because claims depend on speed, accuracy, documentation, and judgment — and customer trust in the claims process depends on transparency, and personalized communication updates. AI can help classify claims, summarize documents, validate policy data, guide customers through FNOL, and recommend next-best actions for adjusters.

However, more than the particular AI solution used to assist claims processes, the core matters even more. AI bolted onto a rigid legacy system can only do so much before it hits the wall of disconnected data. EIS OneSuite powered by CoreGentic is designed for core-embedded AI, where data, knowledge, reasoning, governance, and execution work inside core operations, providing governed AI execution across policy, billing, claims, and customer servicing. 

How can AI help insurance claims?

The Use of AI in insurance claims starts at FNOL. AI-powered intake can ask reflexive questions based on the customer’s answers, policy details, and claim type. This results in better data upfront and fewer follow-ups later.

AI also improves fraud detection. Machine learning can score claims for risk, compare details against historical patterns, flag anomalies, and update those scores as new information appears. EIS ClaimSmart™, for example, uses AI and machine learning to reduce redundant manual work, streamline claims, detect fraud, and personalize customer touchpoints. 

Generative AI (or GenAI) in insurance adds another layer: it can summarize adjuster notes, extract meaning from documents, help generate clearer customer communications, and support claims professionals with context-rich recommendations. Deloitte notes that streamlined claims processing is one of the generative AI use cases gaining traction in P&C insurance. (Deloitte)

 

 

How does AI in insurance claims reduce processing time?

AI reduces claims processing time by removing handoffs, automating repeatable and predictable work, and routing complex cases to the right people faster.

At FNOL, AI can collect claim details, validate information, and identify missing data in real time. During assessment, machine learning can help evaluate severity, compare documentation, and flag fraud risk. In approval workflows, automation can move low-risk claims toward straight-through processing while sending exceptions to adjusters.

This is where GenAI in insurance becomes especially useful: it can digest unstructured information — photos, notes, emails, repair estimates, medical documentation, and more — and turn it into usable data and context, helping adjusters do their jobs faster.

Within EIS ClaimSmart, ClaimGuard can identify and score claims within minutes of FNOL, while ClaimPulse uses responsive questions, automated workflows, real-time events, and customer claim-status visibility to keep the journey moving.

How does artificial intelligence improve the claims process in digital insurance?

Artificial intelligence improves the claims process in digital insurance by making it faster, more accurate, more transparent, and less expensive to operate.

For customers, that means clearer intake, fewer delays, more relevant updates, and faster resolution. For claims teams, it means less manual review, smarter routing, better fraud detection, and more time for complex claims that need human judgment. For insurance companies, it means reduced leakage, lower operational drag, stronger compliance controls, and a better chance of reducing claims-related churn.

However, AI is only as useful as the core it runs on. With EIS OneSuite insurers get the core system foundation to automate claims with AI intelligently, use machine learning for fraud and risk scoring, and create a positive claims experience.

Unlock the full potential of your insurance business with a modern digital core platform that streamlines operations and enhances customer experiences. Book a call with EIS today to see how EIS OneSuite is helping insurers take advantage of AI today, and prepare for a more AI-driven future.