Learning from mistakes

In an interview, Elon Musk, CEO of Tesla, responded to the question of how successful business processes are created: "There will be mistakes. It is important to recognize these mistakes, acknowledge them and take corrective action."

We ask ourselves the following question:

Which interventions really help to discover process blockers in the long term and to define workflow processes that run as error-free as possible?

The goal with digitized processes, and we certainly agree, is to speed up work that was previously done manually. We hope that work processes will be quick, so that we can, for example, make better use of discount potential in the future. For this reason, verification and approval processes should be run as lean and error-free as possible.

To achieve this goal, we take the approach of automating invoice verification processes.

We believe that from the invoice receipt per email, a high automation potential can be used through self-learning algorithms.
 
Regardless of the workflow solution used, not only a large part of the invoices can be post in the background, but a higher process performance can also be achieved. The higher the degree of automation in your business processes, the lower the error rate due to manual invoice checks.

The following questions support the automation of invoice verification processes:

• What do the current processes actual look like?
• Which documents run (repeatedly) on errors?
• Which process blockers can be eliminated in the future?
• Which invoices can be posted in the background?

The automation is supported by multiple analyzes in the OCR. This means that manual validation can largely be dispensed with. A full text analysis within SAP means that there is no need for an external OCR. In addition to increased automation of the existing processes, costs can be saved over the long term.

We would be happy to convince you with a proof of concept.