Insurers need a better way to act on portfolio risk

Right now, most teams deal with three major challenges:

1. Limited visibility into risk distribution. Insurers don’t always have a clear way to see how risk is concentrated across geographies, agents, or perils until losses start piling up. This can lead to overexposure in certain areas, leaving insurers vulnerable without realizing it. 
2. Disconnected underwriting and agency performance. Not all agents submit the same quality of risks. Some consistently bring in high quality risks, while others might not. Without a scalable way to evaluate agent performance and submission quality, insurers risk degrading their portfolio.  
3. Missed market opportunities. Many insurers often avoid entire regions based on outdated assumptions. But with more accurate information, they can pinpoint underserved areas where they should actually be growing. 

Property intelligence has already transformed risk assessment at the individual level. Now, the next step is scaling that insight across an entire book. That may be changing faster than we think. 

What would portfolio intelligence look like?

Like property intelligence tools, portfolio intelligence must give insurers a way to visualize risk. For the former, it’s using aerial imagery and applying computer vision models to generate property-level insights like roof condition, hazard exposure, and AI-powered risk scores. For the latter, it’s zooming out from those property-level insights and aggregating them into an interactive, real-time view of an entire book of business — with the ability to drill down into specific risk segments and take action where needed.  

Instead of digging through reports, underwriting managers can ask, “Where do I have the highest concentration of poor roofs? Where’s my biggest hail exposure?” From there, they can quickly visualize risk concentration in a new way and automate those insights with AI. It would be a significant shift — giving insurers the same clarity and speed at the portfolio level that aerial imagery already delivers at the property level. 

From there, insurers wouldn’t just have a better view of their portfolio. They’d be empowered to ask the right questions. It might move from asking, “Is this individual risk insurable?” to something like:

• Why don’t we write business in this area? Is that still the right call? 
• Which agents are bringing in the best risks? Who needs coaching? 
• Are we unknowingly overexposed in one region? 

These are the kinds of questions unlocked by a portfolio intelligence tool, driving more informed decisions at scale.

What would portfolio intelligence do for insurers? 

Aggregating and visualizing risk at scale through portfolio intelligence wouldn’t just provide clearer insights. It would help insurers to take faster, smarter, and more proactive actions, leading to three key benefits:

No. 1: Strengthen portfolio resilience and reduce losses 

Risk isn’t just about individual properties but how exposure is distributed across an entire book. Without a way to see those patterns, insurers can end up overexposed in certain areas without realizing it or be forced to rely on slow, manual processes that lead to unexpected losses. These could be solved with functions like:

• Automated risk mapping to show where high-risk or low-risk policies are concentrated. 
• AI-driven insights to highlight property condition trends before they lead to claims. 
• Customized flagging of risks based on business rules, to reveal risks that matter the most to the insurers’ appetite like distance to coast, presence of solar panels, or roof age.

Tools like these would enable proactive decision-making, letting insurers adjust risk selection before it’s too late.

No. 2: Better manage regions, agents and underwriters 

Not every agent or underwriter evaluates risk the same way, creating inconsistencies in how policies are rated. Right now, many only realize these patterns after losses occur instead of getting ahead of them. The challenge worsens when insurers rely on disconnected data sources or agents lack accurate information. An accurate visualization and segmentation of portfolio risk would give:

• Insurance executives and leaders the ability to track performance trends across agents, underwriters, regions, and lines of business. 
• Risk managers the ability to identify patterns in policies and flag potential issues. 
• Agents real-time feedback on their book so they can improve their risk selection.

With segmented insights, underwriters and agents get the tools and training to make better decisions and help insureds get the right coverage. When agents perform at a higher level, losses and expenses drop can be reduced.

No. 3: Expand into new markets with confidence 

Many insurers avoid entire regions because they’ve either had bad experiences in the past, or it’s seen as a no-go zone. But risk isn’t static. It changes over time. What if there’s a way to be profitable in a high-risk region? What if some markets have become more viable?  
Instant portfolio visualization would allow insurers to:

• Identify gaps or untapped market opportunities. 
• Evaluate whether conditions have changed enough to re-enter a market. 
• Develop growth strategies based on real, data-backed insights, and not just past experiences. 

Enabling insurers to not just avoid risk, but optimize it, will prove a better path forward.  

From risk assessment to risk intelligence 

Insurance companies already have plenty of data, but the goal is turning it into insights they can actually use. Portfolio intelligence is about unifying data, visualizing it, and giving insurers the ability to see their book of business in a way they never could before. 

AI is making this shift possible. By analyzing vast amounts of data (combining aerial imagery, predictive analytics, and geospatial data) insurers can assess risk at both the individual property level and across their entire portfolio. 

It’s an exciting time for the industry, where current challenges are forcing us to ask how we can keep growing and adapting for the future. Portfolio intelligence tools are the next step in helping insurers proactively manage risk, improve underwriting performance, and make smarter growth decisions.

David Tobias (david.tobias@nearmap.com) serves as the general manager of Insurance at Nearmap. Previously, he co-founded Betterview, the property intelligence platform for P&C insurers, which was acquired by Nearmap in December 2023. Before founding Betterview, David was instrumental in scaling Research Specialist Incorporated, an insurance loss control company. A veteran of the insurance industry and property inspection business, Tobias is focused on finding actionable, usable solutions to insurance-specific problems.

Opinions expressed here are the author's own.

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