hyperexponential’s Ingestion Agent
COMING SOON
Streamlining the Underwriter’s workflow by building an AI agent that ingests complex submission documents, reducing time from submission-to-binding. This allows insurers to price risk with greater accuracy and focus on higher-value decision-making.
Problem and Context
The underwriting process is built on expertise, judgment, and risk evaluation, but those strengths are undermined by the way information flows today. Submissions often arrive as sprawling, inconsistent documents, with exposure schedules, claims histories, and policy details scattered across formats. Before any pricing or risk assessment can even begin, underwriters are forced into hours of manual data entry, cleaning, and reconciliation. What should be a strategic role focused on evaluating risk and structuring deals instead turns into an administrative burden.
Key problem to solve:
Underwriters lose valuable time on tedious, repetitive work.
Rekeying submission data into pricing models is time-consuming, exhausting, and prone to human error.
The process can take 8–20 hours, depending on model complexity and submission quality.
Data is inconsistent — scattered, unformatted, and varying from broker to broker.
This lack of standardisation makes it difficult to create efficient, repeatable workflows.