- GENAIDA: AI Enhanced Decision Science

Transforming Corporate Decision-Making in the Age of AI

Enterprise Risk Management

Creating Next-Generation AI-Enhanced Enterprise Risk Management (ERM) Decision and Risk Analytics

Capital Efficiency of Insurance

Helping Organizations Determine Best Value Insurance Policies for Their Business

ERM: A Three-Filter Decision Process

Filter 1

Risk Policy

Establish clear boundaries to define which risks enter the process.

Filter 2

Prioritization Lens

A simple framework to rank risks based on enterprise impact.

Filter 3

ROI Analysis

Ensuring risk investments compete fairly for corporate capital.

Insurance Capital Efficiency

Complex

Simplifying the intricate process of determining ideal coverage and limits

Costly

Mitigating budget pressure caused by rising premiums and market volatility.

Inefficient

Using data-driven benchmarks to eliminate overpayment and bridge coverage gaps.

Optimizing insurance portfolio for maximum capital efficiency.

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Dr. Brian W. Hagen

Founder & CEO

Dr. Brian W. Hagen is an award-winning expert in decision and risk analysis with over 30 years of consulting experience. He developed the PRO Enterprise Management methodology, recognized by Risk & Insurance Magazine as a groundbreaking innovation.

Other Professional Roles:

IQVIA

Director of Enterprise Decision Quality Assurance (EDQA)

Transforming enterprise quality assurance into an AI-enhanced enterprise value protection agent

CSUF

Adjunct Professor of Enterprise Risk Management

Educating next-generation ERM professionals and chief risk officers with AI-enhanced decision analytics

“Every personal and professional material decision you will make in the future will be AI-enhanced. We are building that future today using language, data, information, and analytics that align seamlessly with the way we think, while mitigating biases and noise in our judgment.”

– Dr. Brian W. Hagen