The openIDS Homeowners Working Group has officially kicked off development of the Residential Structure Model v1.0, and momentum is strong. Building on the solid foundation contributed by Cloverleaf’s model, we’re now laser-focused on refining, enhancing, and filling any gaps needed to make this standard a robust, industry-ready resource.
Why the Residential Structure Model Matters
The Residential Structure Insurable Object Template provides a structured way to capture detailed information about an insured risk. In insurance, an “insurable object” is any item covered (or excluded) in a policy. By defining this model for residential structures, we are creating a common framework for insurers to record and analyze critical details about homes, their conditions, and their exposures.
This is essential for:
Risk assessment – More accurate underwriting with standardized data.
Regulatory compliance – Faster responses when regulators request information in familiar formats.
Industry interoperability – Shared definitions that eliminate costly translation between company-specific models.
Data-driven insights – Stronger analytics for trends, geographic risk analysis, and product development.
What’s Inside the Model
The Residential Structure Model v1.0 aims to define a wide range of attributes that help insurers evaluate residential risks. Some examples include:
Construction and condition details – Construction type, siding, roof condition, plumbing, electrical, and wiring inspections.
Occupancy and usage – Number of families, apartments, or household residents, weeks rented, and presence of businesses on premises.
Risk-reducing and exposure factors – Security systems, sprinkler indicators, fire protection classes, alarm types, and distance to tidal water.
Property value and features – Year built, purchase price, replacement cost, living area, garage/carport type, and swimming pool exposure.
Special indicators – Vicious animal presence, ongoing additions, business at residence, or long-term residency.
This comprehensive approach ensures that insurers can capture not just the physical structure, but also its use, condition, and potential exposures.
Call for Collaboration
Right now, our priority is identifying and closing any gaps. This is where the community comes in. If you have resources, insights, or data that can strengthen the Residential Structure Model, your input is needed. Workstream members are providing industry standards/references the group can review and use to consolidate the gap analysis. Before our next meeting our plan is to:
Review gaps and determine additions or subtractions for openIDS Residential Structure model v0.1.
Align on standard naming conventions for openIDS Residential Structure model v0.1.
Confirm logical format/structure for openIDS Residential Structure model v0.1 and subsequent data standards.
Our next Homeowners Workstream call will be on Monday, August 25th at 2:30pm ET and open to anyone who wants to join us. Click here to access the Zoom link for our next meeting.
The more perspectives and data we gather, the stronger and more adaptable this standard will become for the entire industry. We look forward to working together!
Earlier this week, openIDL took a significant step toward modernizing how the insurance industry collaborates around homeowners data. We officially launched the Homeowners Workstream, an initiative focused on developing a resilient, flexible data standard that supports smarter reporting, analysis, and regulatory transparency — all while preserving privacy and control for participating insurers.
The kickoff featured a presentation by Rob Clark, President and CEO of Cloverleaf Analytics, who laid the groundwork for what will become the foundation of a standardized approach to homeowners insurance data. The team is moving quickly but thoughtfully to translate the flexible model into a usable data standard for homeowners reporting.
From Concept to Reality: A Future-Proof Homeowners Data Standard
Rob’s presentation walked the group through the initial structure of the homeowners data model — a framework designed to be:
Resilient, adapting to changing regulatory requirements and market conditions
Flexible, so it can serve both insurers’ internal analytics and external data calls
Privacy-preserving, in line with openIDL’s distributed architecture
Interoperable, with other industry standards and reporting frameworks
Work on this continues with our next call on Monday, August 4 at 2pm ET — open to anyone who wants to join the effort – click here to access the Zoom link.Â
Written by Josh Hershman, Executive Director of OpenIDL
The insurance industry is facing a data reckoning. Whether it’s regulatory reporting, third-party interactions with vendors, reinsurers, and fronting carriers, or even internal transfers between departments, the movement of data across the ecosystem remains painfully outdated. Legacy statistical reporting models were built for a different era, and ad hoc data calls are often too late, too costly, and too fragmented to deliver real value. These inefficiencies slow progress, increase costs, and expose the industry to growing regulatory risk or slowing down progress derived from efficiencies.Â
At openIDL, we believe there’s a better way. That’s why we’ve shifted our focus onto solving the “Data Problem” — not with another stopgap, but by building the open, modern data standard the industry needs.
From Concept to Consortium: The Birth of openIDS
Earlier this year, we launched a new working group under the banner of openIDS — open Insurance Data Standards. The mission is clear: create a modern, flexible data model that enables the industry to standardize how data is structured and shared. Rather than focusing on any single technology, openIDS is about getting the format right — so that any interactions with any organizations, including regulatory reporting, becomes faster and more reliable. Third-party data exchanges are more consistent and easier to manage and deploy.Â
To frame the challenge and build momentum, we released two white papers outlining the deep inefficiencies in the current system and calling for industry-wide collaboration. These papers lay out a difficult but necessary truth: if the industry doesn’t act, regulators — including federal agencies — will act for us, imposing their own standards and processes. Read the white papershere.
We believe there’s a better path — one where insurers and regulators work together to define the solution.
Standing on Strong Shoulders: IP Contributions from Cloverleaf Analytics
Our working group isn’t starting from scratch. Thanks to a foundational IP contribution from Cloverleaf Analytics, we have a well-developed data model to build from. This model offers a head start in creating something both resilient and implementable across the industry — a practical core to start, affording the data standards process the best foundation.
This contribution will be the starting point for our first line of business: homeowners insurance. We’re building the first work stream around this line, with the goal of demonstrating real progress on the data standard challenges associated with this line. Once the homeowners model is complete, we’ll expand to other lines in rapid succession, as determined by openIDS.
A Big Tent for Real Change
This isn’t just a carrier project. It’s not just for regulators, either. Our effort is intentionally designed as a multi-stakeholder consortium, open to:
Insurance carriers / reinsurers / MGAs
State insurance regulators
Trade associations and advisory organizations
Not-for-profits / Academic and research institutions
Third Party Data Vendors / Actuary Firms
Other standards-setting organizations
By bringing everyone to the table, we’re working to build a truly adaptable, robust, and open data standard — one that serves the needs of many and adapts to what is now a fast-changing insurance landscape.
Powered by Open Governance
Crucially, openIDS is governed under the Linux Foundation, one of the world’s most respected open source governance models. That means every decision we make is transparent, consensus-driven, and structured for long-term stability — not vendor lock-in or proprietary dependence.
The standard we’re building will be:
Open source
Governed by consensus
Designed for real-world implementation across carriers of all sizes
Why Now?
The stakes are clear. State regulators are overwhelmed. Federal agencies are stepping in. Carriers are spending resources on one-off data calls that deliver limited insight. Third Party Vendors and Carriers expel a huge amount of resources on aligning data when they start working together. Everyone agrees the current approach is unsustainable.
But here’s the opportunity: if the industry builds the solution, the industry can shape its future.
By joining openIDS, insurers, regulators, and other stakeholders can finally collaborate on a shared standard — one that is trusted, adaptable and built by an ecosystem of stakeholders.
What’s Next?
The openIDS working group is live and growing. Join us
The first work stream (homeowners) is underway, built on contributed IP.
In an industry where data is paramount, the lack of standardized protocols has long been a barrier to efficiency and innovation. The recently released white paper by the open Insurance Data Standards (openIDS) initiative sheds light on this challenge and introduces a transformative framework designed to revolutionize data interoperability across the insurance sector.​openIDL
Key Highlights from the White Paper:
The Data Challenge: The insurance industry relies heavily on data for risk assessment, pricing, claims management, and customer engagement. However, the absence of universally adopted data standards has led to fragmented systems, increased operational costs, and hindered collaboration among stakeholders.​openIDL
The Problem: Without common data standards, insurers expend significant resources translating data for various purposes, including regulatory reporting and catastrophe modeling. This inefficiency not only escalates costs but also impedes timely and accurate data exchange, affecting decision-making processes.​openIDL
It’s Time for Something New and Non-proprietary!: The white paper advocates for an open-source approach to data standardization. By making data model architectures publicly accessible, the initiative aims to foster widespread adoption, enabling insurers to implement these standards at no cost and facilitating a more cohesive industry framework.​openIDL
Extensibility: A Framework for All
A standout feature of the proposed openIDS framework is its inherent extensibility. Designed to be technology-neutral and adaptable, this framework is not limited to a specific segment of the insurance process. Whether it’s underwriting, claims management, actuarial analysis, or regulatory compliance, the openIDS framework provides a versatile foundation that can be tailored to various applications.​ As long as the data standards work through the governance of the working group, they can be extended.
This adaptability ensures that as the insurance landscape evolves—be it through the introduction of new products, regulatory changes, or technological advancements—the framework can seamlessly accommodate these developments.By eliminating proprietary barriers and promoting an inclusive model, the openIDS framework paves the way for enhanced collaboration, innovation, and efficiency across the entire insurance ecosystem.​Linux Foundation
Conclusion
The openIDS white paper presents a compelling case for the urgent need for standardized data protocols in the insurance industry. By embracing an open, extensible framework, stakeholders can look forward to a future where data flows seamlessly, operational costs are reduced, and innovation thrives. For those interested in delving deeper into the specifics of this transformative initiative, the full white paper is available for review.​
In a major step toward modernizing the insurance industry, openIDL (the open Insurance Data Link) has officially launched the openIDS Data Specifications Working Group — a collaborative effort aimed at revolutionizing how insurance data is standardized and shared across the sector.
This initiative comes at a pivotal time for carriers, regulators, and vendors alike, all of whom are navigating a rapidly evolving digital landscape. By introducing an open, shared data framework, the openIDS Working Group aims to break down data silos, foster meaningful collaboration, and unlock new opportunities for innovation and speed-to-market.
Why This Matters
The insurance ecosystem is filled with talented partners — from insurtech startups to legacy system providers — but too often, outdated data structures and inconsistent formats get in the way of collaboration. The openIDS Working Group is tackling this challenge head-on, creating a modern, flexible, and community-driven data standard that makes it easier to build together.
Key goals of the openIDS initiative include:
đź’ˇ Fuel Innovation: With a shared language for data, organizations can more easily build new tools, products, and services that work across systems and partners.
🤝 Simplify Vendor Collaboration: A common data standard reduces integration friction and shortens the time it takes to launch new solutions.
đź“Š Support Smarter Regulation: While not the sole focus, the framework also streamlines regulatory reporting by reducing redundancy and making compliance faster and more consistent.
⚙️ Increase Operational Efficiency: By eliminating duplicative data efforts, organizations can reallocate resources and improve accuracy.
Whether you’re modernizing core systems, testing new data partnerships, or simply tired of reinventing the wheel with every integration, openIDS offers a smarter, more scalable path forward.
Join the Conversation: April 21 at 4PM EST
If you’re a carrier, technology partner, regulator, or insurance innovator, we’d love to collaborate with you.
This is your opportunity to shape the future of insurance data and contribute to an open, interoperable foundation that benefits the entire industry.
About openIDL
openIDL is a Linux Foundation project that brings together stakeholders from across the insurance ecosystem to improve the way data is shared, secured, and utilized. Through open-source governance and community-led development, openIDL promotes transparency, trust, and innovation — while giving participants full control over how and when their data is used.
The openIDS community is excited to announce the release of our latest white paper, “The Case for Open Insurance Data Standards,” which delves into why the Property and Casualty (P&C) insurance industry is at a pivotal moment of rapid technology advances, increasing regulatory demands, market expectation shifts, and the extreme need for seamless and secure data exchange. Proprietary data formats have long dominated the industry, but they come with limitations—high costs, lack of interoperability, and vendor lock-in. Now, a new open-source initiative is poised to revolutionize how the industry shares and utilizes data.
This document lays out the urgent need for a universal, open, and non-proprietary data-sharing framework in the P&C insurance industry.
Key Highlights
Why Open Standards?
The insurance industry remains one of the few global sectors without widely adopted open data standards. Other industries, such as finance and healthcare, have reaped the benefits of standardization, including reduced costs, improved efficiency, and accelerated innovation. Now, it’s time for insurance to follow suit.
Open data standards offer numerous advantages, including:
Enhancing Interoperability – Creating a seamless exchange of data between carriers, reinsurers, brokers, regulators, and third-party providers.
Improving Transparency and Compliance – Providing regulators with more consistent and accessible data formats.
Driving Innovation – Enabling the development of AI-driven analytics, real-time risk modeling, and blockchain-based smart contracts.
What is openIDS?
openIDS is an open-source framework developed and maintained by the Linux Foundation, the world’s largest open-source development platform. This initiative is built on principles of transparency, collaboration, and long-term sustainability. Unlike proprietary systems, openIDS provides a flexible, extensible data standard that supports all lines of business within P&C insurance.
Key features of openIDS include:
A unified, future-proof core model that facilitates seamless data exchange across the insurance ecosystem.
An extensible framework that allows for customization while maintaining interoperability.
Compatibility with advanced technologies like AI-driven underwriting, blockchain contracts, and real-time risk analysis.
Support for multiple languages and global adoption, ensuring a broad industry impact.
Join the Movement
The adoption of open standards is a crucial step in modernizing the P&C insurance industry. We invite industry leaders, insurers, reinsurers, regulators, and technology providers to collaborate in shaping this transformation.
We encourage you to read and share this resource with colleagues and peers who may be interested in insurance data and data exchange transformation. Your feedback is valuable to us; please feel free to share your thoughts and questions after reading.
Stay tuned for Part II of this openIDS White Paper series and for more updates & resources as we continue to grow and support the industry.
Together, we can build a more efficient, transparent, and innovative insurance industry. Join the openIDS community today and be part of the future of insurance data exchange.
Why the Property and Casualty Insurance Industry is CreatingNew Open Standards for Information Exchange
The property and casualty (P&C) insurance industry is at a critical juncture. For decades, insurers, reinsurers, brokers, and third-party vendors have relied on proprietary data formats resulting in limited agility, inefficiencies, and increased costs. In an era where data is the cornerstone of competitive advantage now for every industry, these legacy constraints are no longer sustainable.
A shift toward open data standards presents a transformative opportunity. By collectively building and widely-adopting a universally accepted, non-proprietary framework for data exchange, the industry can enhance interoperability, streamline operations, and accelerate innovation. This white paper explores why the adoption of open standards is not just an option — it is an imperative for the future of insurance.
Abstract
Can you imagine a universal and widely-adopted data sharing process for the P&C industry? What if the only thing that needs to be done is “turning on the spigot” to allow other parties to receiveyour data as a feed across it through a query? Wouldn’t it be greatif a consensus-built format is open, non-proprietary, and futureproof?Can you see the opportunities in joining every other majorglobal industry in their mutual industry benefits resulting fromcollective contribution to open source platforms – that actually shiftbottom lines?
The Property and Casualty (P&C) insurance industry is undergoing significant
transformation as technological advancements, increased regulatory scrutiny, and market
demands for efficiency drive the need for seamless data exchange. Historically,
proprietary data formats have been widely used to facilitate communication between
carriers, reinsurers, and regulators. However, these formats often introduce barriers such
as high costs, lack of interoperability, and vendor lock-in. In contrast, free and open
standards offer a compelling alternative by providing universally accessible data
exchange protocols that enhance collaboration, reduce costs, improve transparency,
and foster innovation. Such standards should be non-proprietary and open through an
organization that has decades of proven success in open governance and the capacity to
maintain these frameworks and characteristics indefinitely. This paper explores the
benefits and value proposition of building non-proprietary and open standards in
comparison to proprietary and closed formats and frameworks – highlighting key
advantages in areas such as cost efficiency, scalability, regulatory compliance, and longterm
adaptability. openIDS (open Insurance Data Standards) is proposed as a launched
and currently functioning open standards framework-building project, built with,
supported, and managed by the Linux Foundation, the largest global open source
development platform.
The openIDS community seeks your support and participation in building the new and open
The insurance industry traditionally and historically benefits from operating behind closed doors, using proprietary systems and custom data formats. The benefits are shrinking and have created silos and increasing inefficiencies, unnecessary costs, and risks.
Meanwhile, every other major global industry has discovered the opportunities and proven solutions of open-source software (OSS), technology, and collaborative governance models to accelerate innovation, improve security, and reduce expenses.
With the rapid rise of AI and digital transformation, insurers are dipping their toes into open data ecosystems—leveraging APIs, external data sources, and machine learning tools—yet they are hardly contributing leaders, the overarching benefit to leveraging open platforms; nor does the industry have paired open standards, enabling these emerging technologies and systems to be leveraged efficiently, safely, and truly effectively.
“Over many years, new industries and thousands of organizations have entered the open source ecosystem. In the early days, some organizations leapt into OSS without a proper strategy and an execution plan; they did not emerge as winners. Others took a deliberative approach that embraced OSS methodology and engineering practices; they came out as leaders for open source activities in their industries or verticals.” – LF Research Guide to Open Source
Global non-profit organization, the Linux Foundation ("LF") is the largest open source operating system in the world.
The LF is governed, run, and maintained by its members, some of which are the largest global corporations including (but certainly not limited to as there are 14 Platinum, 17 Gold, 1,208 Silver, and 319 Associate members): AT&T, AWS, Cisco, Coinbase, Ethereum, Fujitsu, Google, Hitachi, Huawei, IBM, Intel, Meta, Microsoft, Oracle, Qualcomm, Samsung, Tencent, and VMware. Over 850 open source projects, 17,000+ contributing organizations, 777,000+ developers contributing code, and 76,300,000+ lines of code added weekly, the LF has and continues to maintain the beat of the world’s technological heart, openly.
This “take but don’t give” approach comes at a cost: without clean, governed, and standardized data, insurers risk feeding AI models with messy, inconsistent, inaccurate, and even dangerous information that leads to flawed risk assessments, regulatory penalties, lawsuits, reputational blows, and financial losses.
Innovation impact and ability to securely and effectively generate scalable products, services, and implementation of technological advancements to match the times has also been stunted by the industry’s under-involvement in open platforms.
Opportunities to leverage cross-industry partnerships for access to more and better data and existing global cross-industry digital advancements (think: IoT, real-time data exchange, quantum computing, and optimized security…) has also been diminished by sitting in the bleachers of complacency and de facto loyalty to restrictive systems.
“Today, OSS powers the digital economy and enables scientific and technological breakthroughs that improve our lives [and business]. It’s in our phones, our cars, our airplanes, our homes, our businesses, and our governments.
Organizations involved in building [technology / software] products, regardless of their specific industry or sector, are likely to adopt OSS and contribute to open source projects deemed critical to their products and services.”
The world is shifting toward data democratization, yet insurance companies continue to rely on outdated, closed systems that increase operational costs and slow down business processes. The industry’s long-held competitive advantage through exclusive data access is eroding, and those who fail to adapt will continue to face the increasing inevitable consequences.
Moving past current data standard and format reliances (holding the industry majority back from revolutionizing and innovating) will open doors to the next era of insurance data utilization.
Unfortunately, there has not been a solid and scalable alternative to build and host necessary participation and wide-adoption. This gap, the lack of a universal, non-proprietary insurance data standards-building platform, has now been solved with the inception of openIDS. 🚀
Next Step: Gather industry leaders to shape and build the new open standards!
Coming next: Why the Insurance Industry Needs Open Governance, the realistic approach to revolutionizing insurance data standards with open governance and a non-proprietary, open platform to collaboratively build
Data is a cornerstone of the property and casualty (P&C) insurance industry, driving informed decision-making and operational efficiency. It enables insurers to assess risk accurately, price policies competitively, and predict future trends. By leveraging data, companies can enhance claims management, improve customer experiences, and develop innovative products tailored to evolving market needs. In an industry built on mitigating uncertainty, data provides the insights necessary to remain agile, reduce losses, and foster trust with policyholders.Â
Industries establish universal standards for many things, including data, to increase efficiency in utilization, reporting, and sharing. However, within the U.S. P&C insurance industry, there are few widely adopted common data standards. This lack of standardization causes insurers and others to spend billions of dollars each year translating data into formats for regulatory reporting, catastrophe models, and a myriad of other transactions. The time and cost involved increases resistance for insurers to cooperate with regulators attempting to obtain data to inform constructive legislation and regulation.
With rising catastrophes and growing populations in high-risk areas, access to aggregate data is crucial not only to the insurance industry, but to the U.S. economy, which requires affordable and accessible insurance to function.
Why Does the U.S. Property & Casualty Market Have This Unique Problem with Data Standards?
The U.S. P&C insurance industry is regulated at the state level rather than by the Federal Government. There is overwhelming support among both regulators and insurers for state regulation, and it has been effective in many ways. However, with 50+ regulators and close to 4,000 insurance companies, it is almost impossible to gain a consensus on the need for data standards, much less the standards themselves.
The Association for Cooperative Operations Research and Development (ACORD) has attempted unsuccessfully to create and foster industry adoption of its data standards, both as a not-for-profit and now as a for-profit company. The National Association of Insurance Commissioners (NAIC), the primary body creating national consistency across states, has also worked on the issue for years to no avail.
Why Does It Matter?
The cost and difficulty of converting data to different formats increase the resistance of insurers to share data, especially with regulators. More importantly, converting data between architectures—like translating something from one language to another—can result in loss of clarity and accuracy. When insurers move from one Policy Administration System (PAS) to another, which happens frequently but is still hindered by the high costs of conversion, a key barrier is transforming policy data between different architectures.
Who Cares?
Insurers
Insurers acknowledge the problem, but no insurance association or vendor has successfully taken the lead to build a consensus on a solution. Many insurance executives may not fully realize the costs of lacking data standards, and those who do often feel powerless to address it. For carriers, the solution should create financial savings, enhance efficiencies, and increase the ability to leverage data in more creative ways.
Regulators
Insurer resistance to sharing data due to the associated cost and complication, combined with the lack of a data standard, makes it extremely difficult to create standards of performance from aggregated data that can inform constructive and consistent regulation. Consider that most of the Southeastern states required companies to file a data call for Hurricane Helene and Hurricane Milton losses. While the intent of each data call was the same, each one had a different format and slightly different requirements, increasing the costs and complexity of insurer compliance. Regulators ultimately represent consumers who are required to purchase insurance, as well as their state economies that require a healthy insurance market.
Third-Party Vendors to the Insurance Industry
Many vendors in the insurance industry recognize the challenges posed by the wide variety of data formats and terminology. They often invest significant resources assisting customers with data formatting and interpretation. As a result, quite a few vendors see this as a critical issue and are open to collaborating on a unified solution. Standardizing data would also make it easier for vendors to integrate with and transition between different companies, streamlining operations. However, some vendors may still view exclusive ownership of data models and architecture as a strategic business advantage.
What Might Work?
ACORD’s lack of success in creating a data standard proved that 1) there is no industry support for a not-for-profit organization that exists only to establish data standards, and 2) very few companies will pay for the use of a data standard.
The American Association of Insurance Services (AAIS) maintains proprietary data standards for stat reporting and data contribution for product development, like other Rating and Advisory Organizations do. However, as the only national not-for-profit Rating and Advisory Organization, its business model does not require it to protect that data architecture, which is simply a by-product of its business model. AAIS proposes to make its data model architecture “open source” so that others in the insurance industry can adopt it, in part or fully, at no cost.
How Will AAIS Make it Work?
AAIS was established as a not-for-profit organization with the goal of fostering collaboration among its insurance company Members. This collaboration enables insurers to develop better and more cost-effective solutions that benefit the entire industry—solutions that individual companies could not achieve on their own. In 2021, AAIS created a not-for-profit subsidiary under the Linux Foundation for insurance industry collaboration on data standards and reporting. The Linux Foundation is dedicated to creating and maintaining not-for-profit open-source industry standards with a proven governance framework that allows transparency and participation while ensuring that collaborative work product does not become compromised or proprietary. As a Linux Foundation project, openIDL (Open Insurance Data Link) is an existing platform that is governed by its time-tested governance model.
What Is AAIS’s Proposal?
AAIS will update its stat data model architectures, harmonizing them with existing open-source standards, such as OASISLMF and OMG, as well as others willing to contribute their data structures.
AAIS will donate its data model architecture to openIDL and the Linux Foundation as an open-source model architecture, available at no cost to anyone that would like to use it.
The maintenance and updating of the data model architecture would be owned and developed within the Linux Foundation through openIDL, with participation and support of interested parties in the insurance industry.
How Would the Industry Support and Participate In This Process?
Membership in openIDL follows the proven governance model used by countless industries. Any industry participant may become a member of openIDL and potentially serve on its board. Not-for-profit firms and regulators can join for free. Full memberships are calculated using a formula based on the number of employees, capping out at about $250,000 per year with a guaranteed board seat. A lower cost membership is available, priced from $10,000 to $50,000 per year, based on enterprise size, creating a class from which additional board members may be selected. Board members collectively govern the organization, and members have the right to participate in the development and maintenance of data standards.
How Would This Get Started?
The openIDL organization was originally developed as a data-sharing platform, created by AAIS and donated to the Linux Foundation, which required a standard data model architecture. While openIDL will continue to support its platform, its focus will shift to data standards. openIDL has funds to continue operations for approximately 12 months, but as AAIS shifts from the openIDL platform to focus on data, it will need to replace a few primary members to continue to fund and build consensus for open-source data standards. There is active interest from insurance regulators, insurance not-for-profits, industry third-party vendors, and some large insurers; efforts are underway to create critical mass.
If You Build It, Will They Come?
Good question! Adoption may be slow in the beginning, but over time, open standards often follow a predictable adoption course. In the initial stage, the adoption of open standards is expected to act as a baseline framework, serving as an intermediary for mapping data before converting it to another standard, like a universal translator. Incremental adoption is anticipated, such as in the case of the aforementioned catastrophe data call by multiple states, where the data standard provides a foundation for them to issue a standardized data call. Over time, creators of new policy administration systems will start integrating elements of the data model architecture, gradually driving broader adoption.
Why Should I Care About This?
The insurance industry plays a vital role in our economy and nation. While improving data flow may pose short-term challenges (each organization would define those challenges differently), the long-term benefits far outweigh the costs. As data becomes increasingly critical for accurate insurance processes, the industry must adopt data standards to manage larger volumes efficiently. Supporting this mission strengthens the industry’s future and upholds our collective responsibility to ensure its continued success.
Contact Information
For more information, please contact the following individuals.
SAN FRANCISCO, Jan. 28, 2025 /PRNewswire/ — Open Insurance Data Link (openIDL), a forward-thinking consortium focused on establishing critical data standards and leveraging blockchain technology to revolutionize data exchange across the insurance industry, is pleased to welcome new members reThought Flood and Cloverleaf Analytics. As members of openIDL, reThought Flood, an MGA leader in data-driven insurance solutions, and Cloverleaf Analytics, a pioneer in advanced insurance data analytics, will help openIDL lead the charge in insurance data standardization.
As active members of openIDL, reThought Flood and Cloverleaf Analytics will play a pivotal role in the newly launched open Insurance Data Standards (openIDS) Working Group, spearheading the development and adoption of open, non-proprietary, and universally accepted data standards. These efforts represent a critical first step toward building a transparent, and collaborative, data standard that can serve as a foundation for the industry’s future.
“We are pleased to welcome reThought Flood and Cloverleaf Analytics to the openIDL community,” said Josh Hershman, Executive Director of openIDL. “With their support and leadership, we hope to address the fragmented regulatory framework of the U.S. P&C insurance industry, which spans 56 jurisdictions and thousands of insurers, yet has made reaching a consensus on data standards elusive.”
The partnership underscores a transformative step toward addressing one of the industry’s most pressing challenges: the lack of widely adopted data standards in the U.S. property and casualty (P&C) sector. This absence of standardization costs insurers billions annually in translating data for regulatory reporting, catastrophe modeling, and operational tasks. These inefficiencies not only burden insurers but also hinder their ability to collaborate effectively with regulators and other stakeholders, obstructing efforts to create meaningful, informed policies. By adopting comprehensive data standards, the industry can enhance efficiency, reduce costs, and foster constructive collaboration between insurers, regulators, and other stakeholders.
“The value of participating in the openIDL and fostering open standards with openIDS is in building together what no one entity could build alone,” said Werner Kruck, CEO of the American Association of Insurance Services (AAIS). “By welcoming new members into the OpenIDL community, we open new avenues of collaboration to help shape the next generation of insurance data standards and governance. Through AAIS’ membership in openIDL, we look forward to working with the OpenIDL community to break down barriers and drive the adoption of transformative insurance data standards that will benefit the entire ecosystem.”
To learn more about openIDL, including how to participate in the community and become a member, please visit openidl.org.
Supporting Quotes
“reThought is very pleased to become a part of openIDL, a game-changing open source initiative of benefit to the entire insurance industry. As an MGA with significant reporting requirements to capacity partners, a truly open data standard would allow organizations to increase both the efficiency and the effectiveness of shared data and reports. Imagine a world where we all “speak the same data language”, it would be monumental.” Cory Isaacson – Founder and CEO, reThought Flood
“When I founded Cloverleaf in 2015, it was with a vision that the only way our industry would excel at digital transformation, was if data insights were delivered in a unified common language. We look forward to marrying our vision with openIDL as we strive towards a future where all insurers and regulators can access secure, meaningful data insights as seamlessly as turning on a light switch.” Robert Clark – Founder and CEO, Cloverleaf Analytics
“Cloverleaf is honored to collaborate with some of the nation’s leading insurers, regulators, and technology companies in joining the openIDL to guide the industry into an age of greater efficiency, data transparency and security, compliance, and growth. Just as insurers rely on robust data to make informed underwriting decisions, the openIDL will serve as the foundation for the entire insurance industry’s data-driven future, ensuring trust and reliability as we move towards more AI-driven business models.” Michael Schwabrow – EVP of Sales and Marketing, Cloverleaf Analytic
AboutopenIDL openIDL was founded by (AAIS) in 2021 as a Linux Foundation project. Building a Cohesive, Smarter, More Secure Insurance Industry. The project and its various initiatives were created for insurance industry collaboration on data standards and reporting. The Linux Foundation is the largest global open source software development non-proprietary platform focused on enabling industry-wide and cross-industry collaboration by means of the LF’s proven open governance model and framework. Generating and maintaining Industry Open Standards utilizing the framework of transparency, participation, and a strong governance model ensures that collaborative work and products do not become compromised and/or proprietary. openidl.org
About reThought Flood Founded in 2017, reThought Flood is a technology-centric Managing General Agent focused on US flood risk. reThought offers commercial and residential flood insurance on behalf of A.M. Best “A” rated carriers, and has formed strategic relationships with insurers, reinsurers, and other capacity providers to help them profitably innovate in the flood risk arena. reThought’s game-changing technology helps solve vexing industry problems underwriting flood risk, which requires advanced precision and a true understanding of the hazard. reThought has developed a state-of-the-art proprietary underwriting methodology and risk assessment technology which reflects the reality that with flood risk, inches matter. www.rethoughtflood.com
About Cloverleaf Analytics Cloverleaf Analytics is the leader in insurance intelligence solutions, having evolved from Business Intelligence (BI) into providing advanced tools using Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Speech to Insights, and other emerging technologies to empower carriers to achieve unparalleled growth. Cloverleaf enables carriers in diverse lines of business to create modern products that help insurers remain competitive against new market entrants while redefining what consumers and businesses understand as the meaning of insurance value. cloverleafanalytics.com
Media Contact Lanaya Nelson openIDL Phone: (860) 874-3491 Email: lnelson@openid.org
