Up until now, it was almost necessary to use a group of experts to analyse and interpret customers’ company data and credit reports. Based on that data, they would then accept or reject them. Yet this critical assessment is not always conducted in the most uniform way. Manual assessments, in particular, are dependent on the level of knowledge as well as skills, and sometimes, even the mood the person carrying out the analysis is in. But with The Graydon Decision Model, it is possible to take all of the data and implement a uniform process on customer acceptance.
The Decision Model takes your acceptance policy and translates it, using various different parameters, into a set of business rules. The outcome is an instant decision proposal based on the scores that are established during the analysis. Depending on the sector, type of business or your risk appetite, you can outline a range of different decision-making models. This enables you to create a customised acceptance process and avoid spending ages assessing the data. The dependency on a group experts will also be eliminated; anyone in your company will be able to conduct the analysis and arrive at the right decision.
Your archive automatically records every check that you carry out. This enables you to closely measure and adjust your acceptance process so that you can evaulate as many customers as possible and do so securely. That is something you can't do if you need to do it manually, based on company reports. By testing and adjusting your models regularly you are constantly optimising your acceptance process, which results in a faster and more flexible way of conducting your acceptance policy.