What is Cognitive Risk Intelligence?
Cognitive Risk Intelligence is the missing variable in insurance: a way to measure, at scale, how human behavior under pressure shapes future risk — and to act on it before cost is locked in.
Cognitive Risk Intelligence is a way of measuring something insurers have always known matters but have never been able to quantify: why two otherwise identical cases follow completely different paths.
It captures how individuals process pressure, setbacks, uncertainty, and loss of control — and turns those patterns into a forward-looking signal of claim duration, cost, and complexity. Not after the fact. At the point of first contact.
A different kind of data
Traditional insurance models rely on what has already happened — loss history, diagnostic codes, demographics. These inputs are powerful, but they are structurally backward-looking. They cannot tell you how a person will respond to what is happening to them right now.
Cognitive Risk Intelligence adds a new layer: a prospective, human-factor signal available before claims history exists and before trajectories are set. This matters most in lines where outcomes depend not on the event itself, but on how people respond to it.
How it works
A short, non-clinical assessment maps stable cognitive response patterns — how someone handles pressure and setbacks, how they prioritize effort versus recovery, and how they respond to uncertainty and feedback.
The output is a cognitive risk profile: a simple, interpretable signal that can be used immediately. It is not a diagnosis. It is a risk-relevant behavioral signal — available at claim intake, at underwriting, and at the portfolio level.
What it predicts
Cognitive Risk Intelligence detects outcomes that are otherwise invisible early: prolonged claim duration, escalation into complex and resource-intensive cases, stress-related absence, and variability in how individuals engage with support and return-to-work processes.
These outcomes are driven by psychosocial and behavioral factors that sit outside every existing risk model — despite being among the strongest drivers of long-tail cost.
Where it applies
Cognitive Risk Intelligence is most immediately relevant in insurance lines where outcomes are shaped by how people respond — not just by what happened to them. The primary applications today are in disability insurance and workers' compensation, where psychosocial and behavioral factors are among the strongest drivers of claim duration, escalation, and cost.
Within those lines, CRI operates at three levels. In claims triage and management, it identifies high-duration and high-complexity cases at intake — before trajectory is visible — so that resources and case management intensity can be matched to expected need. In underwriting, it adds a forward-looking signal where historical data is thin or absent. And at the portfolio level, it gives captives and reinsurers visibility into concentrations of human-factor risk that never appear in loss history — supporting reserve accuracy and more informed treaty pricing.
Because the underlying signal is not specific to any single line of business, the applications extend beyond disability and workers' comp. Professional liability, personal and commercial auto, and fraud triage are on the roadmap — alongside broader applications that emerge wherever human behavior under stress shapes insurance outcomes.
Non-clinical by design
Cognitive Risk Intelligence operates entirely outside the clinical domain. No diagnoses. No medical records. No biological or genetic data. No determination of eligibility, pricing, or benefits.
It measures everyday cognitive patterns — how people think and respond in normal work and life contexts — not health status. This allows deployment within insurance and employer environments without entering a clinical or regulated healthcare workflow.