When you submit a case to Claimable, you get back a fully personalized insurance appeal: built on clinical evidence, your insurer's own policies, and the legal standards that protect your right to coverage. Most cases are resolved in under 10 days, with an 80%+ success rate.

That’s thanks to Claimable’s AI, powering every appeal. But what does it really mean to be AI-powered, and can you trust the tech? Let’s dive into what's actually happening behind the scenes, and why we built it this way.

What a winning appeal requires

To understand why AI is core to what Claimable does, it helps to understand what a strong appeal actually contains. It's not a letter asking your insurer to reconsider. It's a structured argument that weaves together three things simultaneously:

Your story: your specific diagnosis, treatment history, how the denial affects your health and daily life, and what your physician has recommended.

Clinical evidence: published studies, treatment guidelines, and medical precedents that support why this treatment is appropriate for your condition.

Policy and legal analysis: your insurer's own coverage criteria, applicable federal and state laws (like the ACA, ERISA, or state insurance mandates), and the specific procedural requirements your insurer must follow when handling your appeal.

Building that argument well means cross-referencing your specific case details against an enormous body of evidence: millions of clinical studies, thousands of insurer-specific coverage policies, and hundreds of laws and regulations. A physician writing a peer-to-peer or appeal letter draws on their clinical expertise and a handful of familiar references — which is valuable, but represents a fraction of the available evidence that could strengthen the case.

This is the problem Claimable's AI was designed to solve.

How the AI builds your appeal

When you submit your case, you answer a short health questionnaire, add your insurance information, and add your denial letter and other documents. From there, Claimable's AI gets to work.

The system uses retrieval-augmented generation (RAG), which in practical terms means it doesn't generate arguments from general knowledge the way a tool like ChatGPT would. Instead, it searches a curated, verified database of clinical evidence, insurer policies, and legal standards, and pulls the specific sources that are relevant to your case. Every claim in your appeal is grounded in a citable source, not generated from patterns in internet text.

Here's what that looks like for your appeal: the AI identifies the clinical studies and treatment guidelines that support your prescribed treatment for your specific condition. It analyzes your insurer's own coverage policy to find where their denial conflicts with their stated criteria or with established medical standards. It identifies the federal and state laws that apply to your plan type and situation — including mandated timelines, required review processes, and your rights to escalate.

Then it synthesizes all of that into a single, coherent document that tells your story, presents the evidence, and makes the legal case — personalized to your diagnosis, your insurer, and the specific reason they denied your claim.

Built on expert strategy, not just trained on data

There's an important distinction between a general AI model that's been trained on internet text and a system purpose-built through actual domain expertise.

Claimable's AI wasn't built by feeding a model a batch of data and hoping for good results. The appeal strategy for condition and medication on the platform is designed by a person – a clinical and appeals expert who develops the approach the AI will take for each specific scenario. They determine what evidence is most persuasive, which insurer arguments to anticipate and counter, how to structure the case for maximum impact, and what legal and policy standards apply. The AI executes that strategy at scale, but the strategy itself gets hands-on refinement, testing, and vetting by a human before it ever touches a patient's case.

Claimable’s curated evidence database, spanning clinical studies, treatment guidelines, insurer coverage policies, and legal standards, was built through that same process. It's not a static dump of medical literature. It's an actively maintained body of evidence shaped by people who understand what actually wins appeals, organized so the AI can match the right sources to the right case. And it’s constantly being updated to make our appeals as strong as possible. When our platform detects something we don’t expect, like a denial that violates the law, it immediately flags it so the evidence body and appeal strategy can adapt in real time. 

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This is also how the platform avoids hallucination (the term for AI-generated content that sounds authoritative but is fabricated). Because Claimable's AI pulls from verified, curated sources rather than generating from general training data, every argument it makes is grounded in a real, citable source. 

And our safeguards go further than sourcing alone. Once the AI generates a first draft, it runs through over a dozen evaluation criteria: cross-checking the appeal against the approved strategy for that condition, verifying that every clinical claim can be substantiated, confirming that legal citations are accurate and applicable to the patient's plan type, and flagging anything that doesn't meet the standard. The appeal that reaches you has been pressure-tested by the same system that built it.

How it improves with every case

Every appeal Claimable processes deepens the system's understanding of what works. Across thousands of real cases, the AI identifies patterns: which types of clinical evidence are most effective for specific denial types, how different insurers respond to different argument structures, which conditions have the highest overturn rates and why, and where particular insurers routinely deny claims that don't hold up on appeal.

This kind of systematic pattern recognition across a high volume of real outcomes is something no individual physician, attorney, or patient advocate can replicate, regardless of how experienced they are. A seasoned appeals specialist might handle a few hundred cases over a career. Claimable's AI draws on the accumulated knowledge from thousands, with each outcome refining what comes next.

The result is an 80%+ success rate, built on evidence that compounds.

Why AI is the right tool for this specific problem

Insurance appeals sit at the intersection of three complex, overlapping domains: clinical medicine, insurance policy, and law. Each one involves a vast and constantly evolving body of information. The task of synthesizing across all three — quickly, accurately, and for a single patient's specific case — is exactly the kind of information processing that AI handles better than manual effort alone.

A typical appeal, done manually, requires 15+ hours of research, writing, and review. Most physicians don't have that time. Most patients don't know where to start. Legal experts can charge thousands for the same work. Claimable compresses that into a process that takes minutes, without sacrificing the depth or rigor that makes an appeal effective.

Meanwhile, over 70% of large U.S. health insurers are already using AI in operations that include claims processing, according to the National Association of Insurance Commissioners. What that means? There’s an AI on the insurance side, trained and ready to find any opportunity to deny your claim. Patients facing those systems deserve access to tools that operate at the same level of sophistication — and that’s exactly what Claimable was built to do.

What the AI doesn't do

Claimable's AI is an administrative and legal tool. It builds the strongest possible argument for the care your doctor has already prescribed. It does not diagnose conditions, recommend treatments, or override your physician's clinical judgment.

You see everything before it's submitted. You approve the final appeal. Your doctor's input still matters, and a supporting letter from your physician paired with a Claimable-generated appeal often creates the strongest possible package.

If you're wondering whether your health data is safe throughout this process, we take that question seriously enough that we wrote a dedicated post about it covering what HIPAA compliance and SOC 2 Type II certification actually mean, how your data is protected, and how to evaluate any platform that handles health information. Read it here.

Claimable's AI-powered platform helps patients overturn insurance denials with an 80%+ success rate across 85+ conditions. If you've been denied coverage for a medication or procedure, start your appeal here.