1. Underwriting Efficiency

• The model can produce highly predictive data and results for underwriting purposes in 4 to 5 minutes what would take an average underwriter 4 to 5 days without achieving the same forward looking accuracy.
• The model produces much more reliable metrics/data than an analyst can gather or that is currently available in the marketplace.
• The model allows for cost savings by elimination of other data sources currently being purchased by underwriters.
• The model allows for consistency among all underwriters, their reports and the management review and decision making around them.
• The model allows for training ease and consistent, quick learning about the various institutions/risks being underwritten.
• The model allows for streamlined reviews of clients and prospects, as well as peer group comparisons and reviews.
• The model allows for various management level ‘roll ups’ and reports evaluating individual underwriter effectiveness, profitability, and comparative risk understanding of their book of business, and at multiple levels.
• The model allows for quarterly and annual reviews of books of business, renewals, etc., all driven by risk analysis and categorization, sorted any way possible.
• The model receives and applies quarterly updated data from the various sources automatically and immediately and in a much faster time frame than can be done manually (especially important during turbulent times with rapid change).

2. Pricing (appropriate risk pricing).

• The model provides quick access to ratings/account valuation/risk evaluation when it comes to responding to clients or brokers regarding possible pricing concessions, etc.
• The model allows for consistency in pricing among other peer group risks in the book of business and allows for pricing justification when calculating pricing/profit performance taking into consideration the corporate assignment of a cost of capital assessment.
• The model allows for profitability planning and budgeting based on being able to do ‘roll ups’ on portfolios at various levels. It therefore helps in advance for planning for pricing appropriateness and management reporting.
• The model will provide for ‘dashboard’ views of portfolios at various levels for pricing and risk comparisons.

3. Loss Avoidance

• The model assists underwriters to better side step/avoid certain or near certain litigation costs and settlement losses at origination and renewal with recognition of concerns well in advance of existing methods and tools.
• The model will assist in decision making surrounding and planning for acceptable layers of risk to avoid and other reinsurance structural issues to be taken into consideration.
• The model assists with decision making around deductibles and term(s).

4. Marketing/Business Development

• The model allows for underwriters time to be much better spent than on gathering data and potentially to be spent on marketing to clients and brokers to increase the book of business and with more comfort from a profitability standpoint because of the details and metrics now provided.
• The model allows an underwriter to give a broker a very fast indication of interest on a prospective account, well in advance of a normal response time.
• The model is perfectly designed to sort prospects by risk rating and therefore allow you to decide exactly to whom to market if you were searching for adding (or reducing) certain risks on a name by name basis by region, state, peer group or total market.