Most of the employees of an organization have to make critical decisions on a daily basis in order to drive the business and meet their targets. However, most of these critical decisions can be very subjective and might depend on the experience or instinct of the employee. In order to provide some objectivity across significant decisions and improve the decision-making process, there is a need to include data-driven decision support for everyone. 

TAZI Automated Decision Scoring Solution is the next generation, easy to use, no-code machine learning solution for everyone. The goal of the solution is to understand the current decisions being made at an organizational level and provide data-driven decision scores to support decision making. For example, if you are a clinician ordering medical tests for certain diagnosis decisions, you can use TAZI’s Automated Decision Scoring solution to understand the relevance of your decisions with historical data. If you are an underwriter that reviews hundreds of quotes every single day, you can use TAZI to automate some of the reviews and only review the quotes that need a second look. 

It is a packaged solution that can be deployed into any financial organization in less than 40 days using our proprietary TAZI Method. With our solution, you get a data dictionary, parametrized integrations to your legacy systems and CRM, for example salesforce, off the shelf customizable dashboards, and decision scores for any of your decisions.

Demonstrated Benefits: 

  • Improvement in clinical decision-making 
  • Increase in efficiency of IT operations

Industries:

  • Finance
  • Insurance
  • Telecommunication

Problem

There is a need to enable data-driven decision making across all departments and provide business rules optimization. 

Solution

By using existing business rules and historical decisions for a certain process, TAZI continuously provides decision scores for each process and attempts to automate the decision-making process for certain decisions.

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Tazi Hub User Interface