Everything seems to be working well. However, I see value in integrating AI for automation. So, I would like to see AI integration for automation in future releases. Ideally, after I perform postings, I would like to leverage a generative AI model. This would allow me to type a query or question directly to the bot, and it would retrieve the information I need. For example, I could ask for the number of invoices, the status of specific invoices, or any other relevant data. Currently, we achieve this by building our own Finance model. So, integrating a pre-built finance model with the tool would be much easier and more efficient for reporting purposes. We're looking at several potential uses for this AI model. It could empower various user groups, including regular finance executives, customers, and even vendors to submit queries. Additionally, our leadership team is interested in using the AI model to generate reports directly on the Redwood dashboard. This functionality could potentially replace the need for BSpoke Solutions and the manual generation of BSpoke reports, streamlining the entire reporting process.
There is room for improvement, considering no tools having everything inside it is right. So the room for balancing improvement lies in automation enhancement with respect to the feature areas, considering dealing directly with Excel and reviewing it to do some additional stuff for it in the end system so that reading the right thing, picking up the values, and everything. Right now, you can do it with a little bit of custom scripting in addition to eight. But rather than custom scripting, if we can have a direct feature integrated inside this tool, it will be a major achievement. So, it already has that capability, as you can do custom scripting, and you can go ahead with creating your own. But the direct functions are not available. That's where we are lagging behind. However, importing the values or importing the service can be achieved. So, that is where I can see the room for improvement. In this particular area, the entire system can be improved.
This is a tricky question, but certainly, some improvements are definitely needed in the template-based approach and modularity of design. Mapping the process steps to an existing R2R process quickly would be a definite step forward. Testing, logging, and reporting accurately on a dashboard for any issues during execution will help to identify issues early. As the RUN DATES are only two to five days every month, identifying issues and fixing them should be quick and easy. Compliance is a major factor, as financial processes are always on compliance audit for issues in processing critical financial data and legal ramifications.
Learn what your peers think about Redwood Software - Finance Automation Edition. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
The volume of repetitive, manual tasks across finance is overwhelming – every day or at the end of every month, quarter or year. Redwood’s finance automation reduces that unnecessary and time-consuming manual effort. We know because our customers tell us that our finance automation solution helps them achieve a much higher degree of back-office process automation compared with alternatives.
Everything seems to be working well. However, I see value in integrating AI for automation. So, I would like to see AI integration for automation in future releases. Ideally, after I perform postings, I would like to leverage a generative AI model. This would allow me to type a query or question directly to the bot, and it would retrieve the information I need. For example, I could ask for the number of invoices, the status of specific invoices, or any other relevant data. Currently, we achieve this by building our own Finance model. So, integrating a pre-built finance model with the tool would be much easier and more efficient for reporting purposes. We're looking at several potential uses for this AI model. It could empower various user groups, including regular finance executives, customers, and even vendors to submit queries. Additionally, our leadership team is interested in using the AI model to generate reports directly on the Redwood dashboard. This functionality could potentially replace the need for BSpoke Solutions and the manual generation of BSpoke reports, streamlining the entire reporting process.
There is room for improvement, considering no tools having everything inside it is right. So the room for balancing improvement lies in automation enhancement with respect to the feature areas, considering dealing directly with Excel and reviewing it to do some additional stuff for it in the end system so that reading the right thing, picking up the values, and everything. Right now, you can do it with a little bit of custom scripting in addition to eight. But rather than custom scripting, if we can have a direct feature integrated inside this tool, it will be a major achievement. So, it already has that capability, as you can do custom scripting, and you can go ahead with creating your own. But the direct functions are not available. That's where we are lagging behind. However, importing the values or importing the service can be achieved. So, that is where I can see the room for improvement. In this particular area, the entire system can be improved.
This is a tricky question, but certainly, some improvements are definitely needed in the template-based approach and modularity of design. Mapping the process steps to an existing R2R process quickly would be a definite step forward. Testing, logging, and reporting accurately on a dashboard for any issues during execution will help to identify issues early. As the RUN DATES are only two to five days every month, identifying issues and fixing them should be quick and easy. Compliance is a major factor, as financial processes are always on compliance audit for issues in processing critical financial data and legal ramifications.