Summary: AI is reshaping how insurance decisions are made from claims processing and prior authorization to fraud detection and risk management. While AI tools can speed up decisions, they don’t always capture the full context of your situation. Understanding how these systems work, where challenges can arise, and what steps you can take puts you back in control of your coverage.
Key things to know:
- AI is likely already part of your insurance experience. Many health insurers use AI tools for claims, approvals, and communication.
- Faster doesn’t always mean clearer. Claims processing may move more quickly, but explanations can still feel confusing.
- You can still ask for a human review. AI systems support decisions, but they don’t have to be the final word.
- Prior authorization is a common touchpoint. Many prior authorization requests are now evaluated with AI support.
- Your situation is one-of-a-kind. Decisions based on historical data may not fully reflect your needs.
- You have options if something feels off. Appeals and guidance can help you get clarity or a second look.
If you’ve ever received a claim decision faster than expected, or been told a treatment needs extra approval, you might have wondered what’s happening behind the scenes.
You’re not alone. Many people are hearing more about artificial intelligence in the insurance service industry, but aren’t sure what it actually means for their coverage or care.
Many insurers are increasingly using AI tools and generative AI to help review claims, evaluate requests, and make recommendations. While that can speed things up, it can also feel confusing, especially when decisions aren’t clearly explained to customers.
It’s not necessarily that people or human assessment are being replaced by AI technology, but artificial intelligence is changing how decisions are made in 2026 and beyond.
2026 Strategy Note: As AI adoption expands, regulators and insurers are increasingly focusing on transparency, human oversight, and explainability in automated decisions.
Here’s what to know, what to watch for, and how to stay in control of your coverage, whether you’re looking at Medicare Advantage plans or life insurance.
Before diving in, it helps to clear up a few things. There’s a lot of noise around AI in insurance and some of it simply isn’t accurate.
Common Myths About AI and Your Insurance
Separating fact from fiction is a good starting point, especially because misunderstanding how AI works can make it harder to advocate for yourself when it matters most.
|
Myth |
Reality |
| A robot is making final decisions about my care | AI flags and evaluates, a human can still review and override |
| If AI denied it, there’s nothing I can do | Most AI-supported decisions can be appealed or reconsidered |
| AI always speeds things up | It often does, but complex cases can still take time |
| AI systems are perfectly accurate | They rely on historical patterns and can miss individual context |
Knowing what’s true and what isn’t means you’re less likely to accept an outcome that could be challenged, and more likely to ask the right questions at the right time.
What “AI in Insurance Decisions” Really Means
When people talk about AI in insurance decisions, they’re referring to how artificial intelligence is used to review information and support decisions that used to be handled entirely by people.
Fact: This is a highly prevalent trend. According to McKinsey’s report in 2025, “Virtually all insurers have begun implementing AI, with numerous use cases in production.”
Across the insurance industry, AI models now assist with:
- Reviewing claims processing more quickly
- Flagging unusual activity for fraud detection
- Supporting risk management decisions
- Analyzing historical and sensitive data to identify patterns
- Assisting with health insurance utilization review
- Evaluating prior authorization requests
Many health insurers use these machine learning tools behind the scenes. You may not see them directly, but you’ll feel the impact in how quickly decisions come through and how they’re communicated.
In Short: AI in insurance doesn’t mean a robot is making final decisions about your care but it does mean automated systems are influencing how quickly and consistently those decisions are reached.
Where You’re Most Likely to Notice AI Adoption
You don’t need to understand the technical side of gen AI to recognize when it’s affecting your experience. In most cases, it shows up in small but noticeable ways.
The table below shows the three most common areas where AI touches your insurance experience and what it means in practice:
|
Area |
How AI Is Involved |
What You Might Notice |
| Claims processing | Checks for missing info, compares to past cases, flags for review | Faster responses, but less detailed explanations |
| Prior authorization | Evaluates requests against standard guidelines, recommends approval or denial | Quicker decisions that may not reflect your full situation |
| Fraud Detection & Risk Management | Identifies unusual billing patterns and flags high-risk claims | Closer scrutiny of certain claims |
| Customer communication | Supports automated responses and decision notifications | Faster replies, but sometimes generic language |
Each of these touchpoints is explained in more detail below.
1. Claims Processing
One of the most common places AI tools show up is in claims processing. Instead of reviewing every claim manually, AI systems help:
- Check for missing information
- Compare your claim to similar past cases
- Flag anything that needs closer review
For many people, this means faster responses. However, it can also mean decisions are based on patterns, not always the full story.
2. Prior Authorization Requests
If you’ve ever needed approval before receiving care, you’ve experienced health insurance utilization review.
Today, gen AI is often used to help evaluate prior authorization requests. These AI systems may:
- Compare your request to standard guidelines
- Recommend approval or denial
- Flag cases for human review
This is one area where people feel the impact the most, especially if a decision doesn’t seem to match their situation.
3. Fraud Detection, Data Security, and Risk Management
The insurance industry has always worked to prevent fraud, and AI tools now play a big role in that effort.
AI helps:
- Identify unusual billing patterns (fraud detection)
- Flag high-risk claims (risk adjustment and management)
- Support more consistent reviews across cases
In many ways, this helps keep costs under control, but it can also lead to closer scrutiny of certain claims.
4. Scaling Gen Artificial Intelligence Across the Industry
Across the insurance industry, companies are investing in scaling gen AI to handle more day-to-day processes.
Large carriers, including Nationwide Mutual Insurance Company, are exploring how gen AI can support:
- Customer communication
- Internal reviews
- Decision support tools
As predictive AI tools and generative AI expand, they’re becoming a regular part of how health insurers operate.
How Quickly Has AI Entered Insurance?
|
Year |
Milestone |
| 2015–2018 | Early AI tools introduced for fraud detection and basic claims sorting |
| 2019–2021 | Machine learning expands into prior authorization and risk scoring |
| 2022–2023 | Generative AI enters customer communication and internal decision support |
| 2024–2025 | Major carriers begin scaling AI across claims, underwriting, and care management |
| 2026 | AI-assisted decisions now standard practice across most large insurers |
The pace of adoption has been significant, which is part of why regulatory guidance is still catching up.
What This Can Mean for You
There are real potential benefits to AI tools in insurance when they’re used carefully.
As an insurance policy holder, thanks to AI vendors, you may experience:
- Faster claims processing
- Shorter wait times for decisions
- More consistent handling of similar cases
Additionally, AI-powered fraud detection is giving many companies a competitive advantage. Insurance companies using these systems have already reported a 20 to 40% improvement in fraud detection rates while reducing false positives that could frustrate customers like you.
Tip: If a decision comes back unusually fast, it may have been processed with AI support. That’s not necessarily a problem, but it does mean asking for clarification is always a reasonable next step if anything feels unclear.
Still, it’s completely normal to feel uncertain about all of this, especially if something doesn’t make sense. While AI use can help organize and review information, it doesn’t always capture the full context of your situation.
Where Challenges Can Come Up with AI Systems
Decisions Based on Past Patterns
AI systems rely on historical data to guide decisions. That means your situation may be compared to past cases, even if your circumstances are different. This can sometimes lead to outcomes that don’t feel accurate or fair to you.
Limited Explanations
Many AI tools don’t clearly explain how they reached a decision. If you’ve ever received a denial or delay without a clear reason, this may be part of why. It can make it harder to know what to do next.
Tip: If you receive a decision without a clear explanation, you have the right to ask how it was made. Request a written summary of the reason for the decision before deciding whether to appeal.
Faster Decisions, But Not Always Better Ones
As companies continue scaling gen AI use, decisions can happen more quickly, but speed doesn’t always equal accuracy. This is especially important in health insurance coverage decisions, where details matter and every situation is different.
In Short: AI systems are designed to process patterns at scale — but your situation is individual. When a decision feels wrong, that gap between pattern-based processing and personal context is often the reason.
What Happens When the System Makes a Mistake?
AI systems are not infallible. Errors can result from outdated training data, missing documentation, coding errors on a provider’s end, or simply a case that doesn’t fit the patterns the model was trained on.
When that happens, the responsibility to correct the outcome typically falls on you, the policyholder, to initiate an appeal or request a human review. Insurers are not always proactive about flagging their own AI errors.
This is one more reason why knowing your rights and having support matters. An error caught early is far easier to resolve than one that goes unchallenged.
How Human Oversight Is Evolving in League with AI Tools
Regulators are paying attention, and that’s important. State insurance commissioners, along with the National Association of Insurance Commissioners, are working to guide how responsible AI systems are used across the insurance industry.
Their focus includes:
- Making sure decisions can be reviewed by a person
- Improving transparency
- Protecting consumers from unfair outcomes
This oversight is still developing, but it’s a step toward making AI capabilities work more responsibly and support consumer protection.
What You Can Do If Something Feels Off
If an insurance decision doesn’t make sense, you’re not necessarily stuck with it. Here are a few practical steps you can take:
|
Step |
What To Do |
Why It Helps |
| Ask for clarification | Request an explanation of how the decision was made | Identifies whether AI or human review was involved |
| Request a review | Ask for reconsideration, especially with new information | Many AI-supported decisions can be reconsidered |
| Keep strong records | Gather clinical documentation and maintain clear records | Helps both human reviewers and AI tools process your case accurately |
| Get additional support | Work with a trusted insurance broker | Provides advocacy, guidance, and a second set of eyes |
Taking even one of these steps can make a meaningful difference in how your case is handled.
(1) Ask for Clarification
Find out how the decision was made and whether it can be reviewed by an actual person, like a customer service representative. Sometimes you just need a second set of human eyes to get to the root of the issue.
(2) Request a Review
Many decisions supported by AI systems can be reconsidered, especially if additional information is provided by you or your health care provider.
(3) Keep Strong Records
Gathering clinical documentation and maintaining clear records helps both human reviewers and AI tools process your case more accurately.
(4) Get Additional Support
Good news! You don’t have to figure this out on your own. At Terri Yurek Insurance, we help clients:
- Understand decisions from health insurers
- Deal with claims processing issues
- Work through the prior authorization process
- Advocate for a second look and better patient care when needed
Even when the process feels frustrating or unclear, there are still paths forward. Having a trustworthy insurance broker in your corner can make it easier to ask questions, take careful steps, and feel better about how your coverage is being handled by insurance providers.
Questions Worth Asking After Any Unclear Decision
- Was AI used in evaluating this claim or request?
- Can I request a human review of this decision?
- What specific criteria was my request evaluated against?
- What additional documentation could support a reconsideration?
- What is the deadline to file an appeal?
- Do I have the right to an external independent review?
You don’t need to ask all of these at once, but having them on hand means you’re prepared to advocate for yourself clearly and calmly.
Ultimately, You Still Deserve a Human Answer
Behind every policy is a real person, a real situation, and real decisions that affect your care.
AI may be part of the process, but if you ask us, it shouldn’t be the final word on things like medical necessity. If something feels unclear, rushed, or incomplete, it’s okay to slow things down and take a closer look.
Need some help with that? At Terri Yurek Insurance, we’re here to help you understand what’s happening and what your options are. Even in a modern AI world, we want you to feel confident about your coverage decisions in the insurance sector.
Get in touch today to learn more.
Frequently Asked Questions (FAQs)
1. Is AI making final decisions about my insurance claims?
- In most cases, AI tools support and inform decisions rather than making them entirely on their own. However, AI recommendations can heavily influence outcomes, which is why you always have the right to request a human review if a decision doesn’t seem right.
2. Why did my prior authorization get denied so quickly?
- A fast decision often means AI was involved in the evaluation. The system may have compared your request to standard guidelines and issued an automated recommendation. If the outcome doesn’t reflect your situation, you can request a manual review with additional clinical documentation.
3. What can I do if an AI-supported insurance decision feels wrong?
- Ask for clarification on how the decision was reached, request a human review, gather supporting documentation, and consider working with an insurance broker who can advocate on your behalf. Most AI-supported decisions can be reconsidered when new information is provided.
4. Are there rules governing how AI is used in insurance?
- Yes. State insurance commissioners and the National Association of Insurance Commissioners are actively developing guidance to ensure AI-driven decisions remain transparent, reviewable, and fair to consumers. Oversight is still evolving, but protections are in place and growing.
5. How do I know if AI was involved in my insurance decision?
- You may not always be told directly, but unusually fast decisions, generic denial language, or explanations that don’t reflect your specific circumstances can all be signs that AI played a role. You are entitled to ask your insurer how a decision was made.