Insurance professionals don't need more data; they need better ways to access and use the data they already have. Every day, critical information flows through emails, PDFs, spreadsheets, and handwritten notes. It gets buried in inboxes, siloed in shared drives, or embedded in legacy systems where no one can find it, let alone use it to make decisions.
While this unstructured data has always been part of the insurance landscape, its volume and complexity have grown exponentially. Manually reviewing and processing this data is no longer sustainable. However, AI is changing this. Not only can it automate the heavy lifting, but it can also transform that buried information into structured, searchable, and actionable insights, making them available on demand.
In this blog, we'll look at what unstructured data means in an insurance context, why it's become such a pain point, and how AI platforms like Brisc can help insurers unlock their full value.
According to IBM, 80% of worldwide data is unstructured, and much of it goes unused because it's too difficult to access and standardize.
Unstructured data refers to any information that doesn't follow a consistent format. In insurance, it's everywhere: documents, emails, spreadsheets, audio files, even photos. The problem that arises from unstructured data is that traditional systems can't easily ingest or search this kind of data. That means much of it is either processed manually or left sitting with individuals instead of being shared across the organization.
Submissions come in as attachments or in freeform emails from brokers. Claims notes live in PDFs or handwritten field reports. Underwriting reviews may involve scanned loss runs or spreadsheets with inconsistent column headers. Even compliance relies on regulatory documents that can vary wildly in structure and content.
These data sources aren't rare in insurance, they're core to the business. Yet most of them still require human review, cross-referencing, and manual entry, making the task time-consuming, error-prone, and difficult to scale.
AI, and more specifically, large language models (LLMs), are helping insurers break through this barrier. These systems can "read" documents the way a person would, but faster and with greater consistency.
They can extract key information, identify patterns, and flag anomalies. They can translate a messy spreadsheet into a standardized format. They can summarize lengthy claim narratives into a few concise bullet points. They can also validate data against internal systems to identify mismatches or missing fields before they become issues.
The result is more than just faster processing. It's about giving teams confidence that their data is accurate, up-to-date, and complete which ultimately frees up teams to focus on higher-value priorities.
While many AI platforms stop once they've structured your data, the Brisc platform takes it one step further. With Brisc Insights, automation is just the starting point. The real value comes when your teams can explore, understand, and act on that data when they need to.
Brisc Insights is a Gen AI-powered interface that lets users interact with their data using natural language. That means no dashboards to build, no reports to chase, just a simple, intuitive way to get answers and take action. A finance lead can ask, "Which brokers submitted late last quarter?" and get a clear, immediate response. An underwriter might request loss runs with high claims activity. In contrast, a claims manager can instantly pull a list of open files missing documentation and assign follow-ups, all from the same interface.
Brisc Insights is built to help teams do more, not just see more. You can automate tasks, generate reports on demand, and instantly access insights, all in plain language. It's designed around fundamental insurance roles and use cases, so the information surfaced is always relevant, role-based, and secure.
And because it's insurance-first, security and compliance are built in from the ground up. Brisc never uses your data to train external models. Sensitive data is anonymized, role-based access controls ensure only the right people see the correct data, and the platform meets the highest standards with SOC 2 certification, GDPR and CCPA compliance, and built-in protections like prompt injection defence.
This results in a more innovative, more connected way of working. Brisc Insights helps you unlock the full value of your data, turning what used to be buried in inboxes and spreadsheets into live, actionable intelligence your team can use every day.
Insurance teams are stretched thin. They're handling more submissions, claims, and compliance obligations than ever before, often without the luxury of hiring more staff. At the same time, regulators are tightening requirements, and customers expect quicker, more precise answers.
Speed-to-decision is no longer just a nice-to-have, it's a competitive edge. Insurers, MGAs, and reinsurers that can quickly access and act on the data they already have will outperform those stuck in manual cycles. AI is no longer an experiment, it's a practical tool for solving operational pain points today.
One of the biggest misconceptions about AI adoption is that it requires a total tech overhaul. It doesn't.
Brisc was built with real-world environments in mind. It connects to what you already use: legacy systems, PDF files, bordereaux. Deployment takes as little as 2–6 weeks, and you can start with a high-impact area, such as bordereaux reconciliation, submission triage, or claims management.
With the Brisc platform, you don't have to change how your team works, you’re just giving them the tools to perform better.
Most of your most valuable data isn't missing, it's just hidden. It's sitting in inboxes, spreadsheets, and PDFs, waiting to be unlocked.
With Brisc, insurers can go beyond automation to accurate intelligence, turning unstructured information into usable, visible insight. The result is a more connected, efficient, and proactive approach.
Book a demo to see how Brisc helps insurance teams extract insight and act on it in real-time.