Automate repetitive, high-volume tasks, from document management to invoice processing, with AI models embedded in your workflows
Companies handle large volumes of documents, invoices and emails every day, work that is often repetitive and low value-added. Our Artificial Intelligence division designs automation solutions that combine generative AI models with custom workflows, reducing manual work without giving up human control over the steps that really matter.
We automatically extract, interpret and classify data from invoices, orders and unstructured documents, feeding the results directly into existing ERP and management systems. The model learns to recognize recurring formats and vendors, improving accuracy over time.
GR.AI is our solution for automating goods receipt: it reads and interprets incoming delivery notes, automatically matches them against system orders, and records the receipt, flagging only genuine exceptions for an operator to review.
The delivery note arrives
GR.AI extracts and interprets the data
Automatic match against the system order
Automatic recording or flag for the operator
Every automation includes a validation layer: exceptions and edge cases are flagged to an operator, who can correct and confirm them in seconds. This approach reduces errors while keeping the team fully in control of the process.
Automations integrate with your existing ERP, document management or email systems, without requiring a replacement of your current infrastructure. The goal is to embed AI into the company's real processes, not to add another tool to manage separately.
The result is a faster workflow, fewer data-entry errors, and more time for people to focus on higher-value work.
Frequently asked questions
Invoices, delivery notes, orders, and other unstructured documents, with automatic data extraction and classification.
Yes, every automation includes a validation layer where exceptions are flagged to an operator for correction and confirmation.
GR.AI is Sydea's real-world example: it automates goods receipt by reading delivery notes, matching them to orders, and flagging only genuine exceptions.
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