Automated Credit/Debt Management Counsel By Isaiah Bond

• US 20100023434A1
• Filed: 07/27/2008
• Published: 01/28/2010
• Est. Priority Date: 07/27/2008
• Status: Abandoned Application

• Current Assignee: Isaiah Bond
• Original Assignee: Isaiah Bond
• Inventors: BOND, ISAIAH
• Application Number:
  US12/180,546
• Publication Number:
  US 20100023434A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03

Abstract

The present invention combines automated consulting with live advising within the framework of an online, web-enabled automated credit/debt management counseling and modeling system. An automated coach alerts and focuses the user'"'"'s attention to the issues to be addressed, and frames decisions to be made with general information on each topic based off of technical calculations in relations to the credit/debt management history analyzed. A live advisor supplies specific, innovative solutions based on the user'"'"'s unique credit/debt situation as an aid for the results of the computer automated system.

Claims

1. A method for providing online automated web-based credit &

debt management counseling over the internet comprising;

providing a plurality of unique packages, each including a unique combination of available computer consulting and live consulting, the live consulting being performed by an employee/independent contractor;

developing a service agreement with a user for a desired service level of credit/debt management counseling;

receive from the user a desired service level selected from the plurality of available unique service levels listed;

grade credit/debt management risk levels via a credit/debt management risk evaluator that will determine the health levels that will in return generate automated credit/debt management counseling to further context and individualize sensitive automated credit/debt related computer consulting information to the user using a coaching engine based on the statistical logic rule-based engine and credit/debt management common studies defining a negative from a positive off of public data credit reports or manual user input of general debt data that will predict the most probable grade decision based on computer automated system data inputted by someone trained in the arts of credit/debt management/consulting;

risk tolerance levels based on a letter grading system (A, B, C, D, F);

suggest how to improve topics in relations to credit/debt management matters based on the data provided to the system whether by third party credit vendor or manually inputted by the user. Negotiate fees to be charged to the user based upon package level the user has decided to go with that may be revised during the relationship. Automatically analyze and individualize the credit/debt management needs of the user;

including but not limited to identifying all of the negative items that can impact users credit or debt management stability;

Remind user to pay debts by email alert on a monthly basis for acknowledged debts registered with system.

2. The method of claim 1 where in the service level agreement includes a determination of access is based on one account per user.

3. The method of claim 1 wherein the credit/debt management model includes developing a user'"'"'s credit/debt management risk portfolio and grading it in letter format.

4. The method of claim 3 wherein developing a user'"'"'s credit/debt management risk level comprises:

determining the credit goals of the user and the user'"'"'s risk tolerance;

determining the current credit/debt management stature and position of a user; and

suggesting methods to develop new positions for the user to improve stature.

5. The user computer system of claim 1, including an advanced algorithm to direct the user to use computer consulting prior to using live consulting, if the service level is below a threshold.

6. The method of claim 1 wherein said automated consulting may dispense general/individual;

credit/debt management consulting based on the user'"'"'s credit history displayed on the user'"'"'s personal credit report/the user'"'"'s manual input.

7. The method of claim 5 wherein said live consulting may dispense specific credit/debt management consulting based on the user'"'"'s credit model/report.

8. The consulting computer system of claim 5 where in the system includes:

a user interface for computer consulting to dispense general/specific credit/debt management advice based on the user'"'"'s credit data findings.

9. The live counselor system of claim 7, further comprising:

a user interface for live consulting to dispense specific credit/debt management advice based on the user'"'"'s credit/debt management model.

10. The computer program of claim 9 for developing a credit model, further comprising:

developing the user'"'"'s credit/debt management portfolio.

11. The computer program of claim 10, further comprising:

determining the credit/debt management goals of the user and the user'"'"'s risk tolerance;

determining the current credit/debt position of the user by grade level and individualizing improvement strategies for both.

12. The computer program of claim 11 wherein the automated coaching further comprises:

computer coaching to dispense specific credit/debt management advice based on the user'"'"'s credit/debt management model.

13. The computer program of claim 9 wherein the live counseling further comprises:

computer coaching to dispense specific credit/debt management advice based on the user'"'"'s credit model.

14. The computer programming of claim 1 wherein the automated system will be programmed to locate derogatory items based off of a data search scan that analyzes with careful analysis and common knowledge a negative vs. positive that would be noticeable to somebody skilled in the arts of credit/debt management/counseling.

15. The computer programming of claim 13 &

14 suggesting new credit/debt management positions for the user with general/individual advice on how to reach this goal.

16. The computer programming of claim 1 suggesting monthly reminder alerts further comprises:

a monthly automated reminder alert to alert the user of any open accounts that reports on credit data or that have been manually inputted by the user that we have on file to pay their bills before it impacts their credit score via email with a list of accounts that are to be paid that are currently listed open to the systems knowledge.

17. The computer programming of claim 1 data comprises:

manual user input of general debt data which shall consist of the date debt was opened, the current balance to date, the original balance, the amount of late payments consisting of a minimum of 30 and maximum of 90 days late each payment in a sequence of 30, 60, 90, the amount of times late &

the specific months late as well as debt type. Example;

revolving, mortgage, etc.