Less manual handover work
Relevant information is brought together, so it needs to be copied manually less often.
Get invoice data checked and passed on to the financial process faster.
Invoices are often checked, matched and processed manually. Discrepancies in the data and information spread across multiple systems slow the process down. AI and process automation help extract, check and match invoice information.
The application only becomes meaningful when it fits a specific task and the information available to carry it out.
Exceptions and unclear entries are flagged for human review. That is why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
Relevant information is brought together, so it needs to be copied manually less often.
Recurring checks and tasks are carried out according to the same procedures.
Situations that do not fit the standard process are referred to a team member.
We map out recurring steps, data sources and exceptions.
We determine what rules can handle and where AI adds value.
We connect information and automate the chosen actions.
Users test standard cases and exceptions.
We measure usage and make improvements only where needed.
This service is relevant for organisations that handle a large number of incoming or outgoing invoices. The precise setup depends on the process, the available data and the risks of the application.
We therefore start with a clearly scoped application and only expand it once the initial setup works in practice.
This service addresses the following challenge: AI and process automation help extract, check and link invoice information. Exactly how this works depends on the process and the available data.
The service may be relevant for organisations that handle large numbers of incoming or outgoing invoices. A clear need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question you need to address, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the challenge and add complexity only when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. After deployment, we monitor how it performs and adapt the solution when the data, its use or the context changes.
Want to explore where it makes sense to start using AI for invoice processing? Together, we’ll assess the challenge, the available information and the constraints.