mAking Intelligent processes work
Use Cases
Contract Management App
Business Need:
Managing contracts manually can be a real headache. Every time an employee needs to find information in a contract, they end up spending hours going through hundreds of pages. Even with a contract registry application that makes searching a bit easier, it still takes endless hours to extract data and input it into the system. And let's face it, no application can capture everything in a contract, so manual searches are unavoidable
Solution description:
The solution starts with a contract registry application where all the basic info about contracts is stored. The details in the contract registry application are created automatically from the unstructured documents using AI.
Users can assign tasks to other departments or users and easily search for contract details in the registry. On top if they prefer to go deeper, they can interact with an AI agent in natural language.
Results:
Productivity is increased since data is extracted fast with minimum user intervention and via chatting.
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Data integrity is ensured via the fully automated – and repetitive – process and the rules that can be set on the Contract Registry application,
Reporting and data searching is faster since data is structured or searched using chat
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No data loss via secure administration,
Vendor Invoice App
Business Need:
Dealing with the manual approval process for vendor invoices is a hassle and eats up a lot of time. Imagine having to print every single invoice and physically pass it around from one approver to the next, along with all the supporting documents. There's no way to track progress, which is super frustrating. Even if there's an application in place, approvers still have to check each invoice one by one, regardless of whether they're recurring, or the amount involved. This not only takes up a lot of time but also increases the chances of errors and wrong reporting.
Solution description:
Our solution uses Google Document AI to quickly pull out key details like vendor names, registration numbers, purchase orders, and amounts from all sorts of documents, even handwritten ones and different languages. If something looks off, your team can easily step in and make corrections with our Human In The Loop tool. All the invoices are managed in a Low Code Application where the users do all the necessary checking and controlling. Plus, our business intelligence tool keeps track of the KPIs.
Results:
Boosts productivity by automating data extraction of invoices monthly.
Achieves over 90% extraction accuracy with AI, processing thousands of invoice templates from
numerous vendors.
Involves employees only when necessary, ensuring high data quality with minimal effort.
Keep track and manage all invoices in one place - auditing
SAP Automated Invoice Posting
Business Need:
Every month, companies are overwhelmed with vendor invoices that need to be entered into systems like SAP S/4HANA. Manual processing of these invoices is not only tedious but also prone to errors, making it a real headache. Not only is this process repetitive and time-consuming, but it also raises the chances of errors creeping in during data entry, which then takes even more time to fix.
Solution description:
Our solution uses Google Document AI to quickly pull-out key details like vendor names, registration numbers, purchase orders, and amounts from all sorts of documents, even handwritten ones and different languages. If something looks off, your team can easily step in and make corrections with our Human In The Loop tool. Then, our robotic process automation(bot) takes over and posts the invoice data straight into your ERP system.
Results:
Automating data extraction and posting hundreds of invoices monthly will boost accounting department productivity.
Accuracy. We have process thousands of invoice templates from hundreds of vendors for numerous companies, with Google DocAI achieving over 90% accuracy.
Involving employees only when necessary, using our Human in the Loop tool, ensures high data quality with minimal effort.
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With the model trained on numerous invoice templates, few exceptions require re-development, minimizing developer hours and TCO.
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Speeds up invoice posting, enhancing financial reporting and planning for account payables.