Enterprise AI
Insurance underwriting AI
Using AI to support insurance risk assessment or underwriting decisions.
Example
An AI system estimates a risk factor from submitted application information.
Why people use it
It helps insurers examine information relevant to an application or risk.
What you'll hear
“What information affected the underwriting suggestion?”
What this means for you
Use appropriate review and correction channels for consequential decisions.
Can you control it?
Sometimes
Sometimes. Your choices depend on the tool and your access. The settings available to an everyday user may differ from those available to the people running it.
Common questions
- Does an AI system score fully establish an insurable risk?
- No. It is a limited estimate subject to data, assumptions and relevant requirements.
- Can past claims records contain gaps or bias?
- Yes. Recorded history may reflect missing information or earlier practices, not just the basic risk.
- Does a prediction determine the final decision by itself?
- Not necessarily. Other requirements and human review may be part of the process.