Atlatl Makes Underwriting and Outside Report ordering and interpretation SIMPLY EASIER.

Credit Scores are the most straightforward data utilized. This is usually a policy level three-digit value which is used to place a risk in the proper tier, or to discount or surcharge the rates using factors in the rating algorithm. There is no "reconciliation" per se of the Credit Score.

For example, rules based on driver age and designation as named insured are used to determine whether or not a credit report should be ordered, and on whom.

Report orders are submitted to ChoicePoint and the completed reports are returned to the point of sale system. The submission to ChoicePoint requires the use of either an intermediate server maintained by the insurance carrier or the integration of ChoicePoint’s WEBTSS ordering product. Once reports are returned to the point of sale system, the Recon Engine logic executes to analyze the returned reports.

First, the system analyzes the different types of "hit" information—Report Level matches, Subject Level matches, and partially related claims. Rules supplied by the company determine the first two kinds of matches. Using as distinct data elements first name, middle name, last name, date of birth, and drivers license number, the system compares the order data to the returned report. A matching hierarchy is used so that if, as an example, first name, drivers license number, and date of birth match but last name does not, the system can deem this a "match" (assuming last name changed due to marriage or divorce). Again, these rules are customized, and those returned reports which do not pass the matching rules are displayed to the agent with the options to accept, reject, or modify for reorder.

All of the actions taken by the agent to accept or reject entire reports, subject level reports, and possibly related claims are captured and added to the upload record. Flags can be set to send uploaded policies for Underwriter review based on these actions.

Atlatl works with its insurance company clients to achieve three goals in the design of point of sale Recon Engine systems:

1. Speed: Minimize the duration of the report ordering and reconciliation process

2. Ease of Use: Create a straightforward, intuitive presentation to the user

3. Accuracy: Produce a truly "once and done" result

The third point—accuracy—is where we spend most of our time in design. As stated previously, analysis of Credit Scores usually involves straightforward application of rules.