AI: from challenge to innovation

Discover how AI makes your organization more efficient, safer, and more agile.

AI: from challenge to innovation

Discover how AI makes your organization more efficient, safer, and more agile.

Wat is AI (Artificial Intelligence) en waarom nu?

What is AI (Artificial Intelligence) and why now?

Artificial Intelligence (AI) makes it possible to analyze large amounts of data, recognize patterns, and make autonomous decisions. From smart assistants to generative models: AI offers unprecedented opportunities for automation, customer interaction, and operational savings.

Discover how you can utilize AI

What is AI (Artificial Intelligence) and why now?

Discover how you can utilize AI

What is AI (Artificial Intelligence) and why now?

Discover how you can utilize AI

Trusted by international clients

Virtual Assistants

Create your own agents for both internal and external use with Copilot Studio. By using Generative AI and Large Language Models (LLM), you can get an answer to all your questions in no time.

Documentherkenning leest facturen uit, herkent ze en verwerkt ze zelf

Document recognition

Use AI to read and process documents. By labeling documents such as invoices, AI can recognize and process them on its own. This means you no longer have to process them manually. This saves time, money, and is less prone to errors.

Machine Learning

Make use of Machine Learning to make predictions based on historical data alongside data analysis. Thanks to advanced algorithms and self-learning models, your organization becomes increasingly smarter and more efficient.

Virtual Assistants with Generative AI and Copilot Studio

Nowadays, chatbots are indispensable in the communication between customers and employees. Virtual assistants provide the ability to quickly answer questions and offer solutions. With the use of Generative AI and powerful Large Language Models (LLM) like GPT variants, these assistants can not only handle standard questions but also engage in complex, context-sensitive dialogues.

Deployable internally & externally

Virtual assistants operate on both your public website and within your internal systems (for example, Microsoft Teams or Slack). This way, you can serve customers 24/7 and provide employees with quick access to company information, process instructions, or HR questions.

Agents & Chatbots

Behind the scenes, advanced agents are at work: autonomous software entities that take on tasks, initiate workflows, and retrieve data from back-office systems. They respond to natural language, recognize intents, and escalate to a human employee when necessary. This way, assistants can gain access to your existing SharePoint environment, where you have stored documentation of processes in various formats. This gives the assistant access to information about your business processes, allowing it to answer questions as accurately as possible.

Copilot Studio

With Copilot Studio, you can easily build and manage your own AI agents. This Microsoft tool provides a ready-made framework to train agents on your business data, set custom prompts, and enforce security and compliance rules. This way, you quickly create a virtual assistant that reflects the tone of voice of your organization. Business data, prompts, and other sensitive information remain safe within your own Microsoft environment and are not used to train AI models. For more information on security and data governance, you can consult the Microsoft website here .

Documentherkenning met AI: efficiënt, nauwkeurig en kostenbesparend

Document recognition with AI: efficient, accurate, and cost-saving

Many organizations struggle with the manual processing of purchase invoices, contracts, and other important documents. This is error-prone, time-consuming, and costly: employees spend hours on data entry, checking, and archiving.

Automatic reading and processing

Thanks to OCR (Optical Character Recognition) and smart AI models, invoice data such as supplier, invoice number, date, and amounts are extracted from various file formats. The structured data is then directly forwarded to your ERP or accounting system.

Concrete savings

By automating this workflow, you eliminate manual tasks and minimize the risk of human error. On average, this translates into savings equivalent to a full workday: over 20% time savings for your finance team.

Solution: AI-driven document processing

Step 1: Automatic mailbox reading
An AI agent retrieves new invoices from the central email inbox and classifies them by type and supplier.

Step 2: Document recognition (OCR + NLP)
Using Optical Character Recognition (OCR) and Natural Language Processing (NLP), the system automatically extracts invoice data (date, invoice number, amount, VAT rate).

Step 3: Automatic import into the accounting system
The data is sent via an API directly into your ERP or accounting package, including validation of amounts and checks for duplicate entries.

Step 1: Automatic reading of mailbox
An AI agent retrieves new invoices from the central email inbox and classifies them by type and supplier.

Step 2: Document recognition (OCR + NLP)
Using Optical Character Recognition (OCR) and Natural Language Processing (NLP), the system automatically reads invoice data (date, invoice number, amount, VAT rate).

Step 3: Automatic import into accounting system
The data is directly written to the ERP or accounting software via an API, including validation of amounts and checking for duplicate processing.

Machine Learning: smart models for continuous optimization

Machine Learning (ML) is at the core of data-driven innovation. Instead of using static rules, ML models utilize historical and current data to discover patterns, make predictions, and support decision-making.

Anomaly Detection: detecting deviations early

With anomaly detection, you automatically identify unusual patterns in your data before they lead to problems. By continuously monitoring AI algorithms for deviations, you can intervene immediately and prevent costs or damage.

Demand forecasting: optimal inventory and planning

With demand forecasting, you use machine learning models to make accurate predictions based on historical sales data, seasonal patterns, and external factors. This enables you to proactively align inventories, production schedules, and purchasing strategies with the expected customer demand.

Machine Learning: slimme modellen voor continue optimalisatie

Frequently asked questions

How does AI-powered document recognition work?

AI-driven document recognition combines OCR (Optical Character Recognition) with NLP (Natural Language Processing) to automatically read and process documents. The system recognizes text in various file formats, classifies the document type (invoice, contract, packing slip), and extracts relevant data such as supplier, invoice number, date, and amounts. This data is then automatically forwarded to your ERP or accounting system.

What does it cost to have a virtual assistant built?

The costs depend on the complexity: how many data sources need to be connected, how many different conversation scenarios there are, and whether the assistant is deployed internally, externally, or both. VDS Automation often starts with a concrete pilot on one use case, so you can see results quickly and assess the investment before expanding further.

Can document recognition also be used for other documents besides invoices?

Yes. The same technology is applicable to contracts, packing slips, purchase orders, CMR documents, and other business documents. By training the AI model on your specific document types, the system recognizes the relevant fields and processes them automatically. The more documents the system processes, the more accurate it becomes.

What about the security of company data when using AI assistants?

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