Revolutionizing Insurance: How Doorda, Konsileo, and Intelligent AI Leverage Big Data for Advanced Client Profiling

The UK commercial property insurance sector has faced significant challenges over the past several years. Factors such as inflation, valuations, supply chain disruptions, Brexit, and wider global unrest have all impacted risk measurement processes and premiums. In order to navigate these complexities, insurance companies are increasingly turning to advanced data solutions to improve client profiling and enhance risk insights. One such solution is Doorda’s unique and trusted UK data sets, which have been adopted by insurance clients Intelligent AI and Konsileo to enable more comprehensive and accurate client profiling.

The Role of Data in Insurance Client Profiling

In the insurance industry, client profiling plays a crucial role for brokers, underwriting platforms, and insurance providers. It involves understanding the risk profiles of clients, controlling levels of risk exposure, and analyzing vast volumes of insurance data. However, this process presents a constant challenge, requiring robust data solutions to address ever-changing risk profiles.

The Potential of New Technology in Insurance

New technologies offer great opportunities for innovative approaches in insurance. However, many of these approaches involve handling large amounts of complex data, which can be time-consuming and costly to manage. Despite the potential benefits, insurers have historically underutilized available data, utilizing less than 10% when making underwriting decisions. Additionally, data within the insurance industry is often incomplete and unreliable. Doorda’s data sets have emerged as a game-changer for insurance clients Intelligent AI and Konsileo. By leveraging Doorda’s unique and trusted UK data, these clients are able to create more detailed client profiles, including asset and legal entity information. These comprehensive profiles enable brokers to select the most appropriate insurance coverage and equip them with essential information to handle queries and address objections from underwriters.

Enhancing Risk Insights in Commercial Property Underwriting

Intelligent AI, one of Doorda’s insurance clients, is revolutionizing risk analysis in commercial property underwriting. By integrating Open Data, Proprietary Data, and AI-extracted data, Intelligent AI offers a comprehensive 360-degree view of risk across commercial property portfolios for property owners and the insurance sector. This powerful solution recognizes the challenges insurers face in gathering the necessary data for deep risk insight.

Doorda Empowering Client Profiling

The integration of Doorda’s data sets with Intelligent AI’s risk analysis capabilities significantly improves insurers’ ability to gather accurate and comprehensive data for making underwriting decisions. By harnessing Doorda’s trusted UK data, Intelligent AI provides insurers with previously untapped risk insights. This empowers them to make more informed assessments, resulting in more accurate premiums and enhanced risk management.

Testimonial from Doorda’s CEO

Cliff McDowell, Founder and CEO of Doorda, expressed his delight in supporting Konsileo and Intelligent AI in creating bespoke risk profiles that enhance their service to customers. By leveraging Doorda’s unique datasets, these insurance clients can deliver more tailored and effective insurance solutions, ultimately benefiting their customers.

In the UK insurance industry, complete client profiling is crucial for successful risk assessment, insurance negotiations, and maintaining a competitive edge. Doorda’s datasets offer a powerful solution, addressing the challenges faced by insurers and empowering them with accurate and comprehensive client profiles. With the support of Doorda’s unique UK data, insurance clients like Intelligent AI and Konsileo are able to enhance their risk insights and provide improved services to their customers. As data technology continues to advance, the insurance industry is poised to reap the benefits of more precise risk assessments and streamlined operations.

Explore more

Is Your Brand Just Automating or Truly Orchestrating?

Digital communication platforms currently possess the power to reach billions in milliseconds, yet this technological prowess often results in brands shouting through digital megaphones while customers desperately seek a single moment of genuine relevance. The modern consumer landscape is no longer satisfied with generic interactions that merely use a first name in an email subject line. Instead, there is a

What Is the New Math of E-Commerce Parcel Economics?

A standard procurement negotiation once focused on the simple lever of volume-based discounts to ensure profitability, but the modern landscape of e-commerce has rendered that linear equation dangerously incomplete. As of 2026, the retail sector is witnessing a profound shift where the traditional metrics of success—negotiated carrier rates and total package counts—no longer tell the full story of a company’s

Why is Buying Group Engagement the Key to B2B Revenue?

The once-reliable image of a singular executive sitting behind a heavy mahogany desk and unilaterally signing off on a multi-million dollar contract has effectively dissolved into the ether of corporate history. In the high-stakes environment of modern commerce, a definitive “yes” rarely originates from a single office; instead, it is the hard-won result of a complex and often invisible consensus

How Is AI-Driven MarTech Redefining Modern ABM?

The high-stakes landscape of B2B sales has undergone a fundamental transformation where the ability to interpret invisible buyer intent is now more valuable than the largest possible marketing budget. In the current marketplace, the distinction between a closed deal and a missed opportunity often rests on milliseconds of data processing rather than weeks of manual research. Account-Based Marketing (ABM) has

How Does Automation Redefine the Modern DevOps Lifecycle?

The seamless orchestration of complex digital environments has evolved to a point where a single code commit can trigger a global cascade of automated events, rendering the traditional, friction-filled manual handshakes between departments entirely obsolete in the competitive high-stakes world of enterprise software delivery. Modern software engineering no longer permits the luxury of week-long deployment cycles or manual server provisioning.