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Insurance Solutions

Formerly Moody’s RMS

A new app – SiteIQ™ from RMS intuitively synthesizes complex risk data for a single location, helping underwriters and coverholders to rate and select risks at the touch of a button

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The more holistic view of risk a property underwriter can get, the better decisions they are likely to make. In order to build up a detailed picture of risk at an individual location, underwriters or agents at coverholders have, until now, had to request exposure analytics on single risks from their portfolio managers and brokers. Also, they had to gather supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones to look-ups on Google Maps.

This takes valuable time, requires multiple user licenses and can generate information that is inconsistent with the underlying modeling data at the portfolio level. As the senior manager at one managing general agent (MGA) tells EXPOSURE, this misalignment of data means underwriting decisions are not always being made with confidence. This makes the buildup of unwanted risk aggregation in a particular area a very real possibility, invariably resulting in “senior management breathing down my neck.”

With underwriters in desperate need of better multi-peril data at the point of underwriting, RMS has developed an app, SiteIQ, that leverages sophisticated modeling information, as well as a view of the portfolio of locations underwritten, to be easily understood and quickly actionable at the point of underwriting. But it also goes further as SiteIQ can integrate with a host of data providers so users can enter any address into the app and quickly see a detailed breakdown of the natural and human-made hazards that may put the property at risk.

SiteIQ allows the underwriter to generate detailed risk scores for each location in a matter of seconds

In addition to synthesized RMS data, users can also harness third-party risk data to overlay responsive map layers such as, arson, burglary and fire-protection insights, and other indicators that can help the underwriter better understand the characteristics of a building and assess whether it is well maintained or at greater risk.

The app allows the underwriter to generate detailed risk scores for each location in a matter of seconds. It also assigns a simple color coding for each hazard, in line with the insurer’s appetite: whether that’s green for acceptable levels of risk all the way to red for risks that require more complex analysis. Crucially, users can view individual locations in the context of the wider portfolio, helping them avoid unwanted risk aggregation and write more consistently to the correct risk appetite.

The app goes a level further by allowing clients to use a sophisticated rules engine that takes into account the client’s underwriting rules. This enables SiteIQ to recommend possible next steps for each location — whether that’s to accept the risk, refer it for further investigation or reject it based on breaching certain criteria.

“We decided to build an app exclusively for underwriters to help them make quick decisions when assessing risks,” explains Shaheen Razzaq, senior director at RMS. “SiteIQ provides a systematic method to identify locations that don’t meet your risk strategy so you can focus on finding the risks that do.

“People are moving toward simple digital tools that synthesize information quickly,” he adds. “Underwriters tell us they want access to science without having to rely on others and the ability to screen and understand risks within seconds.”

And as the underlying data behind the application is based on the same RMS modeling information used at the portfolio level, this guarantees data consistency at all points in the chain. “Deep RMS science, including data from all of our high-definition models, is now being delivered to people upstream, building consistency and understanding,” says Razzaq.

SiteIQ has made it simple to build in the customer’s risk appetite and their view of risk. “One of the major advantages of the app is that it is completely configurable by the customer. This could be assigning red-amber-green to perils with certain scores, setting rules for when it should recommend rejecting a location, or integrating a customer’s proprietary data that may have been developed using their underwriting and claims experience — which is unique to each company.” Reporting to internal and external stakeholders is also managed by the app.

And above all, says Razzaq, it is simple to use, priced at an accessible level and requires no technical skill, allowing underwriters to make quick, informed decisions from their desktops and tablet devices — and soon their smartphones.

In complex cases where deeper analysis is required or when models should be run, working together with cat modelers will still be a necessity. But for most risks, underwriters will be able to quickly screen and filter risk factors, reducing the need to consult their portfolio managers or cat modeling teams. “With underwriting assistants a thing of the past, and the expertise the cat modelers offer being a valuable but finite resource, it’s our responsibility to understand risk at the point of underwriting,” one underwriter explains.

“As a risk decision-maker, when I need to make an assessment on a particular location, I need access to insights in a timely and efficient manner, so that I can make the best possible decision based on my business,” another underwriter adds.

The app is not intended to replace the deep analysis that portfolio management teams do, but instead reduce the number of times they are asked for information by their underwriters, giving them more time to focus on the job at hand — helping underwriters assess the most complex of risks.

Bringing Coverholders on Board

Similar efficiencies can be gained on cover-holder/delegated-authority business. In the past, there have been issues with cover-holders providing coverage that takes a completely different view of risk to the syndicate or managing agent that is providing the capacity.

RMS has ensured SiteIQ works for coverholders, to give them access to shared analytics, managing agent rules and an enhanced view of hazards. It is hoped this will both improve underwriting decision-making by the coverholders and strengthen delegated-authority relationships.

Coverholder business continues to grow in the Lloyd’s and company markets, and delegating authorities often worry whether the risks underwritten on their behalf are done so with the best possible information available. A better scenario is when the coverholder contacts the delegating authority to ask for advice on a particular location, but receiving multiple referral calls each day from coverholders seeking decisions on individual risks can be a drain on these growing businesses’ resources.

“Delegated authorities obviously want coverholders to write business doing the proper risk assessments, but on the other hand, if the coverholder is constantly pinging the managing agent for referrals, they aren’t a good partner,” says a senior manager at one MGA. “We can increase profitability if we improve our current workflow, and that can only be done with smart tools that make risk management simpler,” he notes, adding that better risk information tools would allow his company to redeploy staff.

A recent Lloyd’s survey found that 55 percent of managing agents are struggling with resources in their delegated-authority teams. And with the Lloyd’s Corporation also seeking to cleanse the market of sub-par performers after swinging to a loss in 2018, any solution that drives efficiency and enables coverholders to make more informed decisions can only help drive up standards.

“It was actually an idea that stemmed from our clients’ underwriting coverholder business. If we can equip coverholders with these tools, managing agents will receive fewer phone calls while being confident that the coverholder is writing good business in line with the agreed rules,” says Razzaq. “Most coverholders lack the infrastructure, budget and human resources to run complex models. With SiteIQ, RMS can now offer them deeper analytics, by leveraging expansive model science, in a more accessible way and at a more affordable price.”

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