ATOmate vs. Azure AI Document Intelligence

ATOmate has automated so many processes and we are now able to assign staff to more meaningful tasks rather than sorting out paper documents.

In saying that, there are times when manual intervention is required like sending out a big payment required.

Incentivized

Azure AI Document Intelligence is mainly used in document data filling. If the template is the same, only the inside data content will be different. There, we use a text-based OCR process to fill the data in the same template with different, accurate data means the manual work will be reduced and time saved. And used in an image and text combined bot if the user query through text from the knowledge based document it brings the output which is used in information technology and services.

Incentivized

• They are at the forefront of any changes with the way the ATO is working
• The pro-actively find solutions for problems that could arise
• They keep us informed of any downtime with their product or the ATO
• They get almost all documents from the portal without any input from us.

Incentivized

• From the Image the OCR technology use to store embedding properly
• From the images the OCR technology automatically capturing text is brilliant
• Also for creating Azure AI Document Intelligence endpoint and keys it is very easy to do

Incentivized

• Sometimes the ATOmate web portal is very slow
• There is a lack of logging of events that we as users can see
• We should be able to assign a partner to documents where the client is unknown

Incentivized

• Azure AI Document Intelligence should have used to store image based embedding for multiple languages
• Images storing part is a different area in our case and only for a few images that part can be increased
• Cost is high which should be reduced so more users will come and more technology through this will come

Incentivized

Azure AI Document Intelligence mainly meets our business requirements. Actually, what we need is image and text-based multimodal, and we store data in pgvector PostgreSQL vector embedding those data. For that, we need text and image combined embedding, which we can get from Azure AI Document Intelligence. Which is working good for us and improved accuracy not 100% but 70% accuracy we are getting at least through Azure AI Document Intelligence.

Incentivized

ATOmate has the ocr that is far superior to kofax and the client names and amounts on the ato forms are almost 99% captured. This was compared to about 80% with kofax

Incentivized

Azure AI Search, we used to bring image and text relevant to the user query, but it did not work properly, and the accuracy was very poor compared to Azure AI Document Intelligence. Azure Blob Storage we used to store images and bring in frontend there also accuracy low, so we went for embedding through Azure AI Document Intelligence. Azure AI Content Safety for text content, but it is very costly, so we went for Azure AI Document Intelligence.

Incentivized

• ATOMATE has allowed us to redeploy admin staff to different tasks and we have been cable to expand without needing more staff
• The only downside to it is the admin staff used to keep excel sheets that would be checked off every quarter and the partners used that sheet to keep track of their workflow
• We no longer have to wait for paper correspondence from the ato as most gets picked up by ATOmate

Incentivized

• Significant reduction in manual processing cost by 40-60%
• Improved data accuracy and reduce work
• Scalability is good without cost increase

Incentivized