Sixfold has built what is essentially an AI co-pilot for insurance underwriters. In practice, when an underwriter starts reviewing a submission (say for a commercial property insurance policy), Sixfold’s agent kicks in to collect and analyze information needed for the risk assessment. It will parse the submission documents, pull external data like credit scores, prior claims history, or even relevant news about the insured company. Using generative AI and domain-specific models, it then produces a risk assessment report: highlighting key findings (e.g., “Location is in a flood zone”, “Applicant has 3 prior claims in 5 years”), calculating risk scores, and suggesting coverage terms or pricing adjustments. The underwriter can interact with the agent via a chat interface to ask follow-up questions (“What is the construction type of the building?”) and the agent will fetch or infer the answer from the data it processed. Sixfold’s solution is designed to be auditable – every data point and recommendation comes with an explanation or source, which is crucial for compliance in regulated insurance markets. By streamlining underwriting workflows, Sixfold helps insurers issue policies faster (some tasks that took days can be done in minutes) and with more consistency. One insurer reported that Sixfold’s agent reduced their policy processing time by 40% and helped catch risk factors that might be overlooked manually (Welcome, Sixfold! - Salesforce Ventures) (Generative AI Makes Underwriting Joyful (Yes, Really) - Sixfold). Sixfold positions its offering not to replace human underwriters but to amplify their productivity – the AI handles the heavy lifting of data crunching, allowing underwriters to focus on judgment and relationship management. As insurance companies face increasing pressure to improve efficiency and accuracy, Sixfold’s agentic AI has become a compelling tool in the industry’s digital transformation.