Turn Insurance Complexity into Trusted AI Insights
Codd AI delivers a context-aware semantic layer that makes insurance data understandable, explainable, and safe for AI-driven underwriting, claims, and executive decision-making.
Insurance organizations manage highly complex data across policy administration, underwriting, claims, actuarial, and finance systems. Core insurance concepts such as policy, exposure, loss ratio, severity, earned premium, and IBNR are often defined differently across lines of business, regions, and teams. This fragmentation slows insight, undermines trust in analytics, and makes AI-driven decisioning risky. Codd AI addresses this challenge by establishing a contextual semantic layer purpose-built for insurance. It unifies technical metadata, business logic, and insurance domain knowledge into governed, business-fluent models that both humans and AI can rely on. This allows insurers to operationalize GenAI and conversational analytics while maintaining accuracy, transparency, and regulatory confidence.
Key Capabilities
Establish a Common Insurance Language
Codd AI creates a shared, governed understanding of insurance concepts across underwriting, claims, actuarial, and finance teams. Policy structures, risk attributes, and insurance KPIs are defined once and reused consistently across analytics and AI experiences. This eliminates ambiguity between lines of business and ensures every insight is based on approved insurance definitions.
Value: Faster alignment, fewer metric disputes, and a single source of insurance truth.
Enable Trusted AI for Underwriting and Risk Analysis
AI-driven underwriting requires transparency and confidence in the underlying logic. Codd AI grounds AI-assisted analysis in approved underwriting rules, actuarial assumptions, and risk models. Underwriters can ask complex questions in natural language and receive explainable answers tied directly to governed insurance logic and source data.
Value: Faster, more confident underwriting decisions with reduced risk of AI-driven errors.
Modernize Claims and Fraud Analytics
Claims data spans structured systems and unstructured adjuster notes, documents, and communications. Codd AI brings semantic consistency across claims data, enabling AI-assisted exploration of loss drivers, leakage, and fraud patterns. Claims leaders gain insight without relying on brittle, one-off reports.
Value: Reduced claims leakage, improved fraud detection, and better operational efficiency.
Support Regulatory, Financial, and Executive Decisioning
Insurance leaders require insight they can defend to regulators, auditors, and boards. Codd AI provides full lineage, transparency, and metric traceability so AI-generated insights are explainable and auditable. Executives can safely use conversational analytics for portfolio performance, profitability, and risk exposure analysis.
Value: Confident executive decision-making with built-in regulatory defensibility.