New Risk Innovation vs Historical Data Dependence
Launch emerging-risk lines under controlled capacity with scenario-based proxies, satisfying Solvency II ORSA requirements while systematically building proprietary loss data.
CyberTRIZ analysis · Insurance contradiction UW032 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Insurers increasingly encounter emerging technologies, business models, climate exposures, cyber dependencies, and other risks for which credible historical loss information is limited. Conventional underwriting and pricing depend heavily on past experience, creating difficulty when the insurer must evaluate exposures that have little direct precedent. Waiting for extensive historical data reduces uncertainty but can cause the organization to miss emerging markets, while aggressive entry can create poorly understood liabilities.
Insurance TRIZ Resolution
New risks can be approached through progressive evidence development rather than requiring complete historical information before participation. Insurers can combine analogous experience, exposure-based analysis, engineering knowledge, scenario modeling, external expertise, and controlled initial capacity. Policy terms and limits can constrain uncertain loss mechanisms while actual experience is captured systematically and incorporated into future decisions.
Applicable TRIZ Principles
Principle 16 – Partial or Excessive Actions begins participation at controlled scale when complete information is unavailable.
Principle 26 – Copying uses relevant analogues and modeled representations where direct historical experience does not exist.
Principle 23 – Feedback converts emerging underwriting and claims experience into progressively stronger risk knowledge.
Expected Outcome
Earlier access to emerging insurance markets
Controlled exposure to unfamiliar risks
Faster development of underwriting knowledge
More adaptive product and pricing decisions
Decision Indicators
Early indicators that this contradiction is limiting underwriting performance include:
New opportunities are rejected primarily because historical data are unavailable.
Underwriters rely on assumptions that cannot be tested against direct experience.
Competitors develop emerging-risk portfolios while the organization remains inactive.
New products are launched with broad capacity despite substantial uncertainty.
Early experience is not systematically incorporated into underwriting criteria.
Monitoring these indicators helps insurers develop evidence while participating selectively rather than choosing between unsupported expansion and complete avoidance.