The Other 80%: The Unstructured Data Challenge in P&C Insurance

  • Perry Rotella, Managing Director, Financial Services

2026年10月06日

Guidewire recently highlighted a challenge that resonates across the property and casualty insurance industry: data practitioners can spend as much as 80% of their time preparing and transforming data, leaving only a fraction of their effort for analysis and decision-making.

Solving that problem is essential, but it is also only half the picture.

Across the insurance lifecycle, insurers also contend with a second, less visible challenge: the vast volume of unstructured information that sits outside core systems. Industry analysts estimate that 80% to 90% of enterprise data is unstructured. In insurance, that includes claim photos, adjuster notes, underwriting submissions, policy documents, inspection reports, medical records, legal filings, and customer correspondence.

This content is not peripheral. It often contains the context needed to explain what structured data alone cannot.

A financial dashboard may show deteriorating loss performance, but the causes may be buried in field reports and supporting documentation. A book of business may underperform for reasons revealed only in submission materials. A compliance review may stall not because of a lack of data, but because critical documents are fragmented across shared drives, inboxes, and manual processes.

For P&C leaders, this creates a persistent gap between what the numbers show and what the underlying content explains. Few people feel this gap more directly than the Chief Information Officers and Chief Data Officers setting enterprise data and technology strategy, and the underwriting, claims, and compliance leaders navigating its consequences every day.

Why Unstructured Content Matters More Than Ever

Insurers have invested heavily in systems that capture and organize structured data across policy, billing, and claims operations. Those investments are essential. They create the foundation for analytics and operational visibility.

Yet many of the most important business questions still require access to documents and content that are harder to search and analyze at scale.

Examples include:

  • Understanding the drivers behind a large or complex loss
  • Reviewing underwriting rationale across submission packages
  • Locating policy language relevant to a claim or dispute
  • Identifying compliance issues across large volumes of correspondence and filings
  • Tracking operational bottlenecks caused by document-heavy handoffs

The challenge is not simply storing this content. It is making it accessible, understandable, and actionable within day-to-day insurance workflows, and increasingly, within the automated ones replacing them. For insurers, that means connecting governed content with authoritative policy, claims, billing, and underwriting context—the systems where insurance decisions and transactions are managed.

From Content Storage to Content Intelligence

The next phase of digital transformation in P&C insurance is likely to depend on how effectively insurers connect structured data with unstructured content.

That is a different problem than the ones traditional systems were built to solve. Traditional repositories often focus primarily on storage and retrieval, while insurers increasingly need content connected to operational workflows and decision context. Data platforms, meanwhile, manage structured and semi-structured information at scale. For insurers, the opportunity is to connect governed content capabilities with the insurance systems where decisions and transactions occur. Content services can classify documents, extract relevant information, and make it available within underwriting, claims, policy, and compliance workflows. Guidewire provides the insurance-native operational context and system-of-record foundation; Box can extend those workflows with secure content management, rich media, and document intelligence.

In practice, this content intelligence layer can support: 

  • Centralized and governed access to business-critical documents, with clear audit trails over who accessed or changed what
  • Automated classification and metadata capture, so content is usable the moment it enters the system rather than after manual sorting
  • Extraction of key fields from incoming documents, reducing re-keying across underwriting, claims, and policy systems
  • Workflow orchestration across underwriting, claims, policy servicing, and compliance
  • AI-assisted summarization, question answering, and anomaly detection, increasingly performed by agents that can retrieve and act on content directly rather than simply surfacing it for a person to review

That last shift matters. As more of this work moves from people searching for documents to agents retrieving, summarizing, and routing them, the systems insurers choose need to support not just access, but traceability—including a clear record of the information an agent accessed, the output it produced, the actions it took, and any human review or override.. This is increasingly important for defensible governance and regulatory readiness in a regulated industry.

When unstructured content is managed this way, teams spend less time searching and routing information manually. In practical terms, that can improve cycle times and reduce operational friction, enabling employees to focus on higher-value work.

Operational and Business Impact Across the Insurance Value Chain

The implications extend across core insurance functions.

Underwriting

Underwriters often receive large, inconsistent submission packages containing both structured and unstructured information. Better extraction and organization of submission content can reduce manual review effort and support more consistent risk assessment. The Result: underwriters spend less time hunting for information buried in submissions and more time on judgment calls, which can shorten quote turnaround and support more consistent risk selection and pricing decisions.

Claims

Claims operations depend on fast access to photos, reports, correspondence, forms, and supporting evidence. When those materials are incomplete, misrouted, or difficult to locate, delays compound quickly. A more intelligent approach to content can help insurers streamline first notice of loss and improve documentation quality, ultimately supporting faster and more consistent claim resolution. The Result: shorter claims cycles can reduce operational friction, create opportunities to improve loss-adjustment efficiency and leakage control, and contribute to a better claims experience.

Policy Servicing and Issuance

Policy documents, endorsements, and declarations often move through review and approval steps that remain highly manual. Digitized, auditable workflows can compress turnaround times and reduce the risk of missed steps. The Result: faster turnaround can help insurers win new business with agents and distributors who place accounts where service is fastest, strengthens retention as those relationships mature, and reduces the administrative cost of servicing every policy.

Compliance and Regulatory Operations

Compliance teams regularly work across document-intensive processes with strict deadlines and retention requirements. Standardized workflows and better visibility into content can improve consistency, auditability, and responsiveness. The Result: compliance shifts from a reactive, audit-triggered scramble to a standing capability, reducing the time and cost of responding to regulatory inquiries and lowering exposure to findings. In addition, regulatory scrutiny of how insurers use AI in these processes is only increasing. A defensible answer now requires more than storing the right document. It requires being able to show which system touched it, what any AI-assisted process did with it, and why. 

A More Complete View of Insurance Performance

Structured data helps insurers measure performance. Unstructured content often explains the operational, customer, and risk context behind that performance.

When insurers can connect the two more effectively, they are better positioned to:

  • Understand not just what is happening, but why
  • Reduce manual effort across document-heavy workflows
  • Improve responsiveness for employees, partners, and policyholders
  • Support more informed decisions across underwriting, claims, finance, and compliance

For P&C executives, this is increasingly a leadership issue, not just a technology issue. The insurers that can operationalize both structured data and unstructured content will be better equipped to move faster, make better decisions, and adapt to rising complexity. 

Unlocking What’s Next

For P&C insurers, the path to faster, more confident decision-making does not end with better access to structured data.  The next frontier is building real content intelligence: the ability to classify, extract from, and reason over the vast body of unstructured content that shapes outcomes across underwriting, claims, finance, and compliance, with the governance and explainability that regulators and boards now expect. Solving the structured data challenge is essential, but solving the unstructured content challenge is what allows insurers to fully realize the value of their information.

That is where Box and Guidewire can complement one another. Guidewire provides the insurance-native core systems, data, automation, analytics, and AI capabilities that power P&C workflows. Box provides secure content management and collaboration capabilities for documents, correspondence, and rich media. Through the appropriate integration, insurers can connect governed content with Guidewire workflows—helping teams access relevant information in context while preserving the controls, auditability, and operational authority required for insurance transactions.

Box offers integrations available on Guidewire Marketplace, helping insurers connect Box content with Guidewire core systems. Box is a Premier tier PartnerConnect Technology partner. Visit the Box partner page to learn more.