Automating repetitive tasks can streamline workflows and allow for data-driven decisions with greater accuracy and speed.--but getting to scale can be tricky.
Historical data offers outdated information. Real-time data keeps you informed of changes to a policyholder’s risk profile, letting you adjust premiums.
New product technology are addressing the traditional pain points of data analysis, model development, and risk assessment for life insurance actuaries.
Large language models will let insurers onboard, renew and service risks at close to zero marginal cost, underpinned with consistent control over risk selection.
The future is looking bright thanks to AI and business rules engines, which greatly reduce menial tasks and let underwriters take on more strategic issues.