Insurance and insurtech media relations now center on AI claims denial litigation, not product announcements. Courts actively allow discovery into how insurers use algorithms to deny coverage. A Minnesota federal court ruled in March 2026 that plaintiffs in a case against UnitedHealth Group could compel discovery into the company's use of AI to deny claims without human review. This means PR teams must now explain exactly how AI is used, rather than simply stating that it is used.
What is Driving Insurance Media Coverage of AI?
Class-action litigation over AI-driven claim denials is driving current insurance media coverage. This coverage focuses on two specific algorithms: UnitedHealth's nH Predict and Cigna's PxDx. Allegations in the litigation claim nH Predict denials had a reported reversal rate on appeal exceeding 90%. Historically, fewer than 1% of policyholders ever appeal a denial. Plaintiffs argue this economic pattern made mass algorithmic denial profitable, regardless of accuracy. More than 10 states have introduced or passed laws in response to AI use in insurance claims decisions.
Does AI Claims Litigation Extend Beyond Health Insurance?
AI claims litigation extends beyond health insurance into property, casualty, and housing-related coverage. State Farm faces a lawsuit alleging racial bias in its AI-assisted claims algorithm under federal housing law. The presiding judge declined to dismiss the case, and it remains ongoing as of recent public filings. The National Association of Insurance Commissioners (NAIC) responded by launching a pilot program for its AI Systems Evaluation Tool. This framework helps state regulators assess how insurers govern AI risk, according to the NAIC's own announcement.
Why Does Court-Allowed AI Discovery Change PR Strategy?
A court allowing discovery into an insurer's AI systems changes PR strategy because internal model documentation, error rates, and override logs can become public record during litigation. This occurs independently of any company's voluntary disclosures. The Hunton Insurance Recovery Blog's analysis of the UnitedHealth ruling noted that its underlying principles, which found company AI use policies and employee depositions discoverable, apply broadly across insurance lines, not only health coverage. A PR team that has not inventoried what its own AI claims tools would reveal under similar discovery is working from a position of pure reaction rather than prepared response.
How Big is the Trust Gap on AI Between Insurers and Policyholders?
The trust gap between insurers and policyholders regarding AI is wide and growing, according to new research. A Hi Marley report published September 24, 2026, found that 85% of insurance executives believe AI will strengthen customer trust, while only 40% of policyholders agree. About half of policyholders said they were mostly or completely confident their insurer would use AI responsibly. Two-thirds said their biggest concern was not AI accuracy itself, but the fear of being unable to reach a human when it mattered.
This gap means executive confidence in AI messaging does not automatically translate into policyholder trust. A PR strategy built on reassuring internal stakeholders will not reassure the public. The specific, named fear of being unable to reach a human gives PR teams a concrete commitment to make publicly, rather than a vague trust statement to repeat.
How Have Named Insurers Disclosed Their AI Use Publicly?
Lemonade has disclosed its AI claims handling in detail for years, breaking out automation rates publicly in its annual reports. Lemonade names its AI tools directly: AI Maya for quote-to-bind and AI Jim for first notice of loss claims intake. Progressive disclosed voice AI in claims handling and automated photo estimating for collision claims through its Snapshot program, discussing its internal AI platform openly at industry conferences. Allstate disclosed in 2025 earnings calls that AI-assisted claims handling reduced cycle time on a portion of its auto claims. This was a specific, measurable claim rather than a general statement about innovation.
Insurance Australia Group (IAG), the largest general insurer in Australia, named OpenAI directly as its partner for agentic claims work in a public announcement on July 27, 2026. This followed OpenAI's July 22 launch of its Presence platform. IAG disclosed exactly what the deployment does: answering claim lodgement calls, guiding motor submissions, providing policy information, and absorbing surge volume. IAG did not claim the system investigates or adjudicates claims. Naming the specific task an AI system performs, and explicitly not claiming more than that, separates a credible disclosure from a vague one.
What Should Insurance PR Teams Say Differently About AI Claims Tools?
Insurance PR teams should describe exactly what an AI system does and does not do in claims handling, following the pattern IAG and Lemonade used publicly. They should avoid describing AI adoption in general terms. A carrier that says it "uses AI to improve claims" invites the question a plaintiff's attorney or reporter will ask next: does that AI deny claims without human review. A carrier that says its AI system handles intake, routing, and status updates, while human adjusters make every denial decision, has already answered that question before it is asked.
Industry analysis of agentic AI deployments across nine cataloged insurance implementations found that eight sit in the conversation, estimating, routing, or data-access layers. Only one, Thomson Reuters CLEAR Investigate, sits at the investigation layer. This distribution is itself a useful, named data point for PR teams: most AI in claims today assists intake and communication, not denial. Carriers can state this specifically rather than leaving the distinction to assumption.
Does Litigation Risk Reach Insurtech Vendors, Not Just Carriers?
Insurtech vendors building AI claims tools face the same disclosure pressure as the carriers that deploy their software. Litigation discovery can reach the underlying technology vendor as easily as the insurer. AI-focused insurtechs captured 95.2% of the $1.63 billion in global insurtech funding during the first quarter of 2026, according to AI Magazine's reporting on the quarter. AI-centered deals averaged $25.79 million each across 68 rounds. This concentration of capital means most new insurtech products entering the market this year are AI-native by design, not AI features added to an existing platform.
Specific funded deals illustrate where investor money is actually going. Corgi Insurance raised $108 million with regulatory authority to operate as an AI-native, full-stack carrier for startup coverage. Sixfold launched its AI Underwriter product after closing a $30 million round. Honeycomb raised $40 million for AI-driven property underwriting. A vendor whose entire product is the AI model a carrier later faces litigation over carries direct reputational exposure. This is not indirect exposure through a customer relationship. Insurtech PR teams should make this distinction explicitly rather than treat it as the carrier's problem alone.
Why Are Some Carriers Pulling Back From AI Coverage Entirely?
Several major insurers, including AIG, Great American, and WR Berkley, have introduced new exclusions and limitations specifically for AI-related claims, according to legal analysis published in January 2026. Their stated reasoning centers on three concerns: AI behavior is difficult to predict. The underlying decision logic is often opaque even to the companies deploying it. The potential scale of an AI-caused loss is harder to quantify than a conventional claim, which undermines the actuarial foundation insurers depend on to price risk.
This retreat creates a parallel, separate PR story from the claims-denial litigation. Insurers simultaneously face scrutiny for using AI to deny claims and for refusing to insure the AI risk their own commercial customers are deploying. A carrier or PR team commenting publicly on AI should be prepared to address both threads. A reporter covering one is increasingly likely to ask about the other in the same interview.
What Should PR Teams Prepare Before the Next Claims Story Breaks?
PR teams should prepare a specific, written answer to one question before any reporter asks it: which claims decisions at this company involve AI, and at what stage does a human make the final call. The answer should name the specific tool, the specific function, and the specific point of human review. This should follow the disclosure pattern of Lemonade, Progressive, and IAG rather than a general statement about responsible AI use.
PR teams should also coordinate directly with legal and claims operations before publishing any AI disclosure. The same statement that reassures a reporter can become an exhibit in litigation if it overstates human oversight that does not actually occur in practice. Insurance analysts have specifically flagged overstated AI communication as a terminal mistake. A carrier that claims production-grade AI capability it cannot measure or evidence gets dismantled quickly by specialized trade journalists and competing analysts.
FAQ: Insurance and Insurtech AI Media Relations
What is nH Predict?
nH Predict is an AI algorithm used by UnitedHealth Group in Medicare Advantage claims decisions. It is now the subject of class-action litigation alleging it was used to deny claims without adequate human review. The litigation alleges a reported reversal rate on appeal exceeding 90%. Plaintiffs cite this figure as evidence the tool's denials were frequently incorrect.
What is PxDx?
PxDx is an AI-driven claims review algorithm used by Cigna. It is named in litigation alongside nH Predict as part of a broader legal challenge to algorithmic claim denial practices in health insurance.
Can courts force insurers to disclose AI claims systems?
Yes, courts can force insurers to disclose AI claims systems. A Minnesota federal court ruled in March 2026 that plaintiffs could compel discovery into UnitedHealth's use of AI to deny claims. Legal analysts say this ruling applies broadly across insurance lines, not only health coverage.
What is the AI trust gap between insurers and policyholders?
The AI trust gap refers to the disparity between insurer and policyholder perceptions of AI. Hi Marley research published September 24, 2026, found 85% of insurance executives believe AI will strengthen customer trust, while only 40% of policyholders agree. Two-thirds of policyholders said their main concern is being unable to reach a human when needed.
Which insurers disclose their AI claims tools publicly?
Lemonade, Progressive, Allstate, and Insurance Australia Group have each disclosed specific, named AI tools and their exact function in claims handling. They avoid describing AI adoption in general terms.
Are any insurers excluding AI risk from coverage?
Yes, some insurers are excluding AI risk from coverage. AIG, Great American, and WR Berkley have each introduced new exclusions or limitations for AI-related claims. They cite the difficulty of pricing unpredictable and opaque AI behavior under conventional underwriting models.
Related Reading
- For healthcare organizations facing a similar AI-era crisis communication challenge, see the healthcare crisis communication guide.
- For financial brands navigating regulatory trust questions more broadly, see Financial Services PR: Regulation, Trust and Leadership.
- For insurers evaluating outside support during an active controversy, see the crisis management firm guide.
