Use Case: Risk Engineering
Combine Control with Insight to Truly Manage Contract Risks
Choosing the right technology to analyze contracts can help. While many companies have turned to contract lifecycle management (CLM) tools to serve as the single source of truth (and knowledge) for contracts and the risks they contain, most CLM tools provide control rather than insight.
How Cyber Insurance Has Evolved in 2021
Cyber insurance has become a key focus for insurers amid rapid growth in global cyberattacks.
SNAPSHOT: Expert.ai for Insurance Risk Engineering
We use AI to assess risk, highlight unintended exposure and identify policy inconsistencies.
Podcast: The Rise of AI in Risk Engineering
Please join Chris McGuire, Risk Consulting Country Manager UK, Ireland, Nordics & The Netherlands of AXA XL, Georg Stockschläder, RE Global Practice Leader Property of Zurich and Deb Zawisza, Vice President, Research and Consulting of Novarica for an expert.ai exclusive podcast: “The Rise of AI in Risk Engineering”.
AI to Support Risk Engineering
Risk assessments that depend on manual document evaluation are time consuming, error prone and costly. By applying AI and NLP to the process, you can speed up the #underwriting process significantly and leave more time to focus on complex cases. See how it’s done!
Infographic: AI to Support Risk Engineering
With AI powering risk engineering process, underwriters can reduce their total processing time by 50%. See how NL-based AI automates the reading, understanding and extraction of meaningful data from risk reports at speed and scale. Download the infographic: