In business management, artificial intelligence is primarily used to automate routine administration, process text and extract data from documents. For medium-sized enterprises, this means deploying an AI assistant directly into the business system. It can then automatically sort emails, summarise communication history with a client or prepare materials for sales proposals—freeing up employees for more specialised work.
There is a huge amount of media hype surrounding artificial intelligence. There is often talk of how algorithms will completely replace human labour. How they will run entire corporations and revolutionise every conceivable field. But for the owner of a medium-sized company who deals with daily operations, delayed deliveries and spreadsheet errors, these visions are completely useless. You don't need sci-fi. You need a reliable tool. A tool that saves your people time on routine invoice processing. A tool that helps them respond to client emails faster. A tool that simplifies finding information in company guidelines.
As we see it, artificial intelligence is just another software tool. It's an exceptionally advanced tool, but still just a tool. It has no will of its own. It doesn't make strategic decisions. It serves as a tireless assistant that prepares materials for human decision-making. We'll show you five specific, perhaps slightly boring, but highly profitable ways our AI assistant works directly within the business system.
1. Extracting data from received invoices and documents
Artificial intelligence helps with processing company documents by automatically reading and transcribing key data from them directly into the business system, without needing fixed templates.
Manually transcribing data from received invoices, orders and delivery notes is one of the biggest administrative burdens in any company. Employees spend hours opening PDF files and typing numbers into the accounting program. Traditional systems tried to solve this problem using optical character recognition (OCR) technology. But old OCR systems worked based on fixed coordinates. You had to define precisely that the supplier's ID number would always be in the top right corner. If a supplier changed their invoice layout and moved the ID number down by two centimetres, the system failed. The data wasn't read. This required manual correction and the creation of a new template.
Artificial intelligence completely eliminates this problem. It reads documents much like a human does. It understands the context of the text. It knows what a variable symbol is, what a due date is and what the total amount is, regardless of where on the page this information is located. It doesn't need any predefined templates. It can even process scanned receipts or documents photographed with a mobile phone in poor lighting conditions.
Let's take a model example of an accounting department. An invoice arrives in PDF format to a dedicated company email address. The system automatically captures it. The AI assistant opens the document in the background, reads the text and extracts all the necessary data. It then immediately creates a draft of the received invoice in the system. If possible, it pairs it with the original purchase order. The accountant then sees the original PDF document on one side of the screen and the pre-filled form on the other. They just visually check the data for accuracy. With a single click, they approve the invoice. All manual keyboard entry is eliminated. Document processing is accelerated to an absolute minimum.
| Processing method | Template requirement | Resilience to format changes | Human intervention |
|---|---|---|---|
| Manual entry | No | High | Required throughout the process |
| Classic OCR | Yes (for each supplier) | Very low (fails on change) | Required for error correction |
| Artificial intelligence | No | High (understands text context) | Only final approval |
2. Automatic email sorting and summarisation
In the company inbox, the AI assistant can recognise the intent of an incoming message, assign it to the correct department and create a concise summary of a long communication thread.
Shared company inboxes are often a place of immense chaos. Emails pile up. Employees have to manually open each message, read it and decide who it actually belongs to. It often happens that two different people reply to the same email simultaneously. Or, conversely, a message gets missed because everyone thought a colleague would handle it. This phenomenon slows down the company's response time and frustrates customers.
Artificial intelligence deployed in the Email module acts as a tireless and lightning-fast dispatcher. As soon as a message arrives, the AI instantly analyses its text. It recognises whether it's a new enquiry, a complaint, a claim, a query about an invoice due date or just advertising spam. It automatically tags the email according to this intent. It then assigns it to a specific department or directly to a specific person. Salespeople see only enquiries in their queue. Accountants see only invoices. Customer support sees only claims.
The second huge added value is summarisation. In B2B communication, very long email threads often develop. Messages are forwarded. Information is added. Specifications change. When a new person joins such a thread, they have to spend long minutes just reading the history from the bottom up to even understand the context of the situation.
Let's take a model example of a salesperson. They return from a week's holiday. In the meantime, a customer has sent them five long emails with project specification changes. The salesperson doesn't have to read the entire history. They click the summarisation button. Within a second, the AI assistant generates three concise bullet points. First: The client wants to change the delivery date. Second: They are requesting to add another item to the order. Third: They are waiting for confirmation of the new price. The salesperson is immediately up to speed. They can act straight away. They get the precise context without wasting time.
3. Preparing materials and draft responses in the CRM
In the CRM system, artificial intelligence is used to automatically generate draft responses and prepare materials for sales proposals based on historical data.
Writing emails and replies to clients takes up a significant part of the working day for salespeople and support staff. Moreover, most of these messages revolve around very similar topics. When will the goods be delivered? What are the payment terms? Can you send us an updated proposal? Using fixed text templates is fast, but it feels impersonal. Clients quickly realise they've received an automated response. AI offers a much more elegant solution.
The AI assistant integrated directly into the CRM system knows the context. It sees not only the client's current query. It also sees the entire communication history. It sees which products the client has bought in the past. It sees their current open orders. It knows the tone in which the company usually communicates with them. Based on all this data, it can generate a highly personalised draft response.
Let's take a model example. A client writes an email saying a delivery is delayed. They ask for a new date. The standard manual procedure means an employee has to open the CRM. They have to find the client's card. They have to switch to the production or warehouse module. They have to find out the current status. They have to go back to the email and write an apology with the new date.
With artificial intelligence, it's different. The AI itself accesses the related modules. It finds out that a material is missing and the new dispatch date is Friday. It writes a draft email itself. The text is polite, factual and contains precise information. The employee just reads this text. If necessary, they adjust a minor phrasing. Then they send the message. This procedure radically speeds up the handling of routine queries. It allows the company to maintain a high standard of customer care even with a large volume of messages.
4. Fast searching in company guidelines
AI facilitates the sharing of company know-how by acting as an internal search engine that gives employees direct answers from company guidelines instead of links to long texts.
Every growing company has internal guidelines, manuals and operating procedures. The problem is that almost no one reads them. When an employee encounters a problem, they'd rather ask the colleague at the next desk than search for an answer in a thirty-page PDF document hidden somewhere on the company drive. Senior employees thus end up answering the same basic questions over and over again. This makes onboarding new staff lengthy and expensive.
Classic full-text search on a company intranet often doesn't work well. It only looks for an exact match of the words entered. If you search for the phrase 'how to claim travel expenses' and the guidelines use the formal term 'reimbursement of business travel costs', the classic system will find nothing. But the AI assistant works differently. It understands semantics. It understands the meaning of words. It knows that 'travel expenses' and 'business travel' are exactly the same thing in this specific context.
Let's take a model example of a new employee. They need to find out the exact procedure for claiming for damaged goods from a supplier. Instead of searching through folders, they type the query directly into the AI assistant's chat in the business system. The assistant instantly searches all uploaded company guidelines. It doesn't return a list of links to documents. Instead, it generates a precise answer in clear steps. The employee gets the exact procedure. The assistant also provides a link to the specific paragraph in the guideline it drew from. This allows the employee to easily verify the information. Company know-how becomes instantly accessible. The burden on experienced colleagues is reduced.
5. Translations and proofreading of company communication
AI helps with foreign language communication through instant, contextually accurate translation of messages or by correcting grammar and style directly in the communication module.
Many medium-sized companies are expanding abroad or regularly communicate with foreign suppliers. But not every employee is proficient in a foreign language at a professional level. A common practice is to copy texts into public online translators. This is time-consuming. Above all, it poses a huge security risk. Pasting sensitive client data, product specifications or business contracts into public AI tools is a direct threat to company trade secrets.
If the AI assistant is integrated directly into the business system, no data leaks out. It remains secure within your closed database. Furthermore, translations happen instantly, right in the window for writing an email or internal message.
Let's take a model example of a buyer. They are dealing with a technical problem with a machine from a German manufacturer. The buyer writes an email in Czech. They click a button. The AI assistant instantly translates the text into professional German. It's not just a literal word-for-word translation. The AI adjusts the overall tone to match formal business communication in that country. It knows the correct terminology. When a reply arrives in German, the system automatically translates it back into Czech. The buyer can smoothly resolve the problem without needing to have a perfect command of the foreign language.
The same function is also used for proofreading in Czech. An employee writes a quick, perhaps overly blunt note to a client. The AI assistant polishes it before sending. It corrects typos. It gives the text a more polite form. The company's communication thus maintains a consistent and highly professional standard across all departments, regardless of who is writing the message.
Artificial intelligence won't run your company for you. It won't make strategic decisions for you. But if deployed correctly, it represents the fastest way to streamline administration and eliminate daily routine.
Artificial intelligence is no longer the preserve of tech giants. It is an accessible tool that can relieve your company of routine and unnecessary errors. Explore what our AI assistant can do. See how the Email module works. Or find out how we generally help with saving time across the entire company.
