Few industries tackle more paperwork than claims: insurance-related documents are nuanced, complex, and often high stakes. Until now, this level of complexity meant documents must be processed by hand. Administrative teams have been manually processing documents for decades, but as artificial intelligence (AI) models became fast, robust, and reliable, there’s been a massive uptick in adoption, especially among users in claims. 

In light of this adoption, Wisedocs has released our exclusive 2025 Buyer’s Guide to help claims leaders confidently evaluate AI-powered Claims Documentation Platforms (CDPs) and choose a solution that fits their unique needs.

Productivity gains are leaping ahead, and organizations that fail to adapt will risk missing out. With 77% of insurance companies saying they are at ‘some stage’ of adopting AI, the industry is looking at a sleeker, faster way to process claims. In fact, 75% of claims professionals believe that AI’s most significant impact lies in driving efficiency through speed and resource optimization—clear evidence that the industry sees operational transformation as both urgent and attainable. The potential impact is clear—but getting it right is the challenge.

But just as those who ignore AI risk are being left behind, those who adopt it the wrong way may find themselves equally stuck—or worse, burned. The market is saturated with AI vendors making bold promises they can’t keep, leading to disillusionment when flashy demos fail to translate into real-world results. Some organizations attempt to bypass this by building their own solutions in-house, but underestimate the vast amount of training data, deep technical expertise, and long-term investment required to stand up a robust, claims-ready large language model (LLM). These efforts often result in tools that are underperforming, unscalable, or riddled with compliance risks. When AI initiatives are half-baked, the fallout can range from poor ROI to serious regulatory exposure.

Choosing the right claims documentation platform (CDP)  matters, and so does finding one that fits your needs. Whether your C-suite leaders are demanding more AI automation or just looking at options for your team, the right solution should fit your organization's needs – and more. 

What to Know as a First-Time Buyer of AI-powered CDPs

Since insurance claims require time, labor, and document-heavy processing, teams are facing pressure to process more claims in less time. High turnover rates and resource constraints in the insurance industry are exacerbated by document overload, duplicate information, and stringent compliance mandates. And since 400,000 insurance professionals are expected to retire by 2026, teams will have fewer people available to fill these roles with the talent pool shrinking year over year. 

The result is a growing demand for CDPs: Claims Documentation Platforms, which could create more than $100 billion dollars in economic benefit globally. The advanced technology behind CDPs helps process claims documents (notoriously complex, including medical files spanning years of a patient’s history, duplicative reports, and handwritten scribbles) accurately, in 20-25% less time. CDPs can: 

• Sort and organize documents by document category
• Create a chronology of documents so they are easily viewable over a timeframe
• Remove and flag duplicate documents or pages
• Index and search documents, even across handwritten claim documents

At their core, these fundamental automated features can dramatically reduce the manual work involved in claims, freeing up your team to focus on making decisions – not flipping through pages. 

Is Your Organization Ready for Technology Change?

While 77% of insurance companies may report that they are at ‘some stage’ of adopting AI, what does this actually mean for claims? Understanding your organization’s current stage can help determine the optimal investment strategy in your CDP. 

On a scale of “manually processing every document” to “data warehouses and custom configurations” most claims industry participants will find themselves in one of the following stages:

Outsourcing your claims can be an advantage, especially in the first stage. However, outsourcing or offshore processing for claims is still a fundamentally inefficient (and manual) process. If your offshore partner uses OCR, automation, or AI themselves, your organization may also consider moving up to the next ‘maturity stage.’

The ROI of CDP

When evaluating your Claims Documentation Platform, cost and efficiency gains are usually the main motivation. Manual human review is a costly process without the aid of automation, and results tend to have more errors, more costs, and more time invested in each page processed. 

Humans will spend 3-5 minutes per page. A CDP platform will process the same document in 30 seconds, and be able to cost out this time at scale. CDPs are more accurate and can provide more organization and consistency in places where companies are limited by the number of staff and resource constraints. 

Human oversight is essential in the process, and adding automation with human-in-the-loop into the equation frees up your team for higher-value strategic work. According to our 2025 ALM survey report run in partnership with ALM Property&Casualty360, 75% cited speed and resource efficiency, and 52% cited productivity gains as the most impactful areas of AI. These gains are further amplified when paired with expert human oversight to safeguard accuracy and compliance when it comes to AI-generated outputs.

Should you Build or Buy? 

Any buying process for an investment in a CDP will involve some consideration of the ‘build versus buy’ equation. Should you purchase a solution, or build it in-house? AI tools are not like any other software. AI requires more development, more training, and is more resource-intensive than other software options. Not only will your organization need the resources to develop, debug, and train these tools, but you will also need to have an incredible amount of data – Bloomberg, for example, set out to build its own model, which cost: 

• 700 billion tokens (350 billion words)
• 50 billion parameters
• 1.3 million hours of graphics processing unit time

While building is sometimes the best option depending on the use case, developing an AI tool isn’t as simple as other pieces of technology. You’ll need billions of data points, capable staff who are well-versed in your industry, ongoing support to develop and maintain it, security and data privacy compliance, and around-the-clock support in case your model malfunctions or hallucinates. It’s not impossible to build, but the cost alone often makes buying a CDP a preferable option for enterprises.

Security and Compliance 

Claims documentation and the CDP landscape are rapidly changing, and so is the oversight that will necessarily cover claims. In a 2025 survey commissioned by Wisedocs and conducted by ALM PropertyCasualty360, 49% of claims professionals identified compliance and regulatory risk as one of the top challenges in integrating AI into their claims document review process. Essential requirements for your CDP will include HIPAA compliance, data encryption, audit reports, access controls, data hosting, and standards for summarization – among other crucial review topics. A full list of CDP compliance must-haves is available in our Buyer’s Guide, designed to help decision makers come to a concrete understanding of the security table stakes in sourcing a CDP. 

Using off-the-shelf LLM tools like ChatGPT to process highly sensitive data, such as claims, is a bad idea – but automation through AI can lead to massive improvements even for companies just dipping their toes into claims. Off-the-shelf solutions might be the solution in a field like AI, but industry-specific CDPs are trained on your organization and your claims data. Our buyers' guide breaks down the process of selecting the best CDP for your organization – so you can maximize your resources and minimize time spent flipping through pages. 

Equip Your Team for the Future of Claims

There’s no one-size-fits-all approach to Claims Documentation Platforms, but there is a smarter way to start. The best decisions begin with the right questions. Whether you’re benchmarking vendors or building an internal consensus, Wisedocs’ Buyer’s Guide gives your team the clarity and confidence to invest in a CDP that meets your compliance, productivity, and scale goals. Selecting the right CDP means understanding the difference between a full AI platform and an AI Copilot. Make the right call the first time, because claims can’t afford the wrong tools.