From Pilot Programs to Full Implementation, Risk Control Requires a Strategic Approach

By: | September 13, 2024

Peter L. Miller, CPCU, MS, MBA, is president and chief executive officer of The Institutes Risk & Insurance Knowledge Group and a member of its Senior Management Team.

Even the most promising new technology for loss mitigation or prevention still requires careful evaluation and a solid business case before it can be successfully applied.

Making that effort helps ensure a potential technology or solution delivers a return on investment and achieves its desired result: preventing injuries and claims.

I recently spoke about the changing face of risk control with Dorothy Doyle, senior vice president and general manager of risk control services at Liberty Mutual Insurance, who offered valuable insights for risk management and safety professionals navigating an increasingly tech-driven landscape.

At the heart of Liberty Mutual’s approach is a focus on data-driven decision-making. The company has invested heavily in its data science capabilities, leveraging both claims data and operational information to uncover hidden patterns and deliver more targeted recommendations to clients. This marriage of data sources allows for a deeper understanding of risk factors and more accurate predictions of potential losses.

However, Doyle emphasized that even with advanced analytics, the implementation of new risk control solutions requires a measured approach.

The importance of pilot programs to evaluate the potential of a technology on a smaller problem or scale cannot be overstated, she said. These pilots allow com­panies to identify unforeseen challenges and quantify potential ROI before committing to large-scale implementation.

Doyle shared the example of a client looking to use advanced exoskeletons to help people safely return to work following an injury.

But before the company rushed out to purchase 100 exoskeletons, a careful assessment of the workspace and how they would be used identified potential problems that would limit their effectiveness.

The storage closet for the devices was 50 yards away from where they would be used.

A person would have to don a suit, then clomp across a workspace to get to the needed task, and later return the same way to put the suit back in storage. Along the way, they would pass coworkers who would often comment on the suits, making the workers in the exoskeletons feel self-conscious and less comfortable about using the safety technology.

Doyle repeatedly stressed that even the most promising technology will not be effective without a company’s commitment to using it.

Clients with a “safety culture” — those who proactively engage with safety issues and understand the connection between safety, productivity and profitability — are far more likely to successfully implement and benefit from new risk control measures, she said.

For risk managers, this confirms the importance of cultivating this culture within their organizations and demonstrating the tangible, bottom-line impact of safety initiatives.

As risk management professionals navigate this rapidly evolving landscape, the lessons from Doyle’s data-driven approach to risk control offer a valuable road map.

By balancing innovation with careful evaluation and always keeping the end goal of improved safety and reduced losses in mind, companies can harness the power of innovative technologies to create safer, more resilient workplaces.

Listen to our full conversation in the Predict & Prevent® pod­cast episode “How a Data-Driven Approach Boosts the ROI of Risk Control.” &

More from Risk & Insurance