AI Solutions

This demo automates incoming email orders directly into an ERP system such as Odoo. It recognizes orders in various formats – whether it’s a PDF, Excel file, image, or plain email text – and converts the data into a consistent format before entering it into the system. This eliminates manual entry and the errors that come with it.

The benefits are immediate: order processing time drops from minutes to seconds, errors decrease, and employees gain more time for other tasks. The solution works equally well with small and large order volumes, scaling as your business grows and improving customer experience through faster and more accurate order handling.

This demo uses AI to process training and educational materials. Documents such as guidelines, onboarding materials, or extensive technical manuals can be uploaded into the system, after which users can interact with the content through AI. This makes heavy materials easy to approach and brings interactivity to training, accelerating learning.

In industrial companies, the AI Trainer can be used for onboarding new employees, internalizing safety instructions, or learning machine operation manuals. In service industries, it supports continuous learning and helps keep skills up to date.

The result is faster onboarding, fewer misunderstandings, and more consistent competence across the organization.

This solution enables users to search and ask questions directly from large documents such as maintenance manuals, technical guides, or contracts. A user can ask in natural language: “What does this maintenance manual say about the safety inspection of part X?” The AI then retrieves the correct section and provides an answer.

It speeds up information retrieval, reduces errors, and supports decision-making in environments where data is scattered and critical.

This demo converts meeting recordings or field reports into text using the OpenAI Whisper model. In industrial contexts, it accelerates maintenance documentation by eliminating the need for technicians to write reports manually. In service operations, it saves time by transcribing and analyzing customer service calls.

The benefits include faster workflows, less manual documentation, and more accurate data that can be used later in analytics.

This demo reads text from images and scanned documents. In industrial settings, it can be used to digitize handwritten maintenance reports, old drawings, or paper forms. Elsewhere, OCR speeds up the processing of documents such as contracts and invoices.

The result is less manual data entry, fewer errors, and easily searchable and usable digital data from archived materials.

This demo summarizes customer feedback or lengthy reports into clear overviews. In industrial use, it can quickly highlight key insights from supply chain reports or production quality data. In service businesses, it can process customer surveys efficiently.

The main benefit is faster decision-making since there’s no need to read entire documents the most important insights stand out immediately.

The trend analysis demo predicts the development of sales data and visually presents upcoming trends. In industrial contexts, it helps with demand forecasting, resource planning, and reducing downtime. In service businesses, it can be used to evaluate the results of marketing campaigns.

The benefits come from better forecasting and more efficient resource use, allowing the right decisions to be made in time rather than afterwards.

The customer analysis demo reviews a potential customer’s website and generates personalized outreach materials based on its content. This is especially useful for B2B sales organizations that want to prepare more effectively for bids or sales meetings. For industrial companies, it means the sales team gets pre-analyzed background data on the customer’s situation.

The benefits include faster preparation, more personalized sales communication, and higher success rates in the sales process.

This demo analyzes financial statements and long-term maintenance plans (KPTS) using AI. While originally built for real estate use, the same model applies to industrial financial reports or other large document analyses. The bot highlights key figures and risk areas, speeding up report handling and supporting decisions with clear, comparable data.

The benefits include more transparent data management and faster financial decision-making.

This demo shows how AI can control systems through natural language. The user gives a command, for example, “Scan Kuopio market square with drones 1–5,” and the AI interprets the instruction, assigns it to the drones, and simulates their operation on a map.

The solution illustrates how a language model can act as an interface for complex processes. The same principle can be applied to warehouse robots, production lines, or logistics chains. The benefits are ease of use, faster decision-making, and reduced human error.

Many everyday business processes include manual, time-consuming steps that slow work down and increase the risk of errors. AI can streamline these processes and ensure that information moves through your systems faster and more reliably.

For example, the order processor we built automates orders received by email. It recognizes attachments and text content in different formats, such as PDF, Excel, images or plain email messages, converts the data into a consistent format and enters it directly into an ERP system such as Odoo. A process that used to take several minutes and was prone to errors is now handled reliably in seconds.

AI speeds up information retrieval by combining RAG technology with natural-language queries. RAG retrieves precise content from your company’s documents and databases, and the language model turns the question into the right format, so users don’t need to know SQL.

For example, our Ask a Document demo shows this in practice. A user can ask, “What does this service manual say about the safety inspection for part X?” and the AI pulls the answer directly from the right section. Information is found in seconds, errors decrease and decisions are made faster.

Companies accumulate large amounts of data, but without a clear presentation it is hard to put to use. Visualization turns numbers and tables into easy-to-understand views that support decision-making.

For example, Excel-based spreadsheets can be turned into a dashboard that brings together key production metrics. The view can track production volumes against targets, the causes and duration of downtime, the share of defective products and machine utilization.

In addition to analyzing data, AI can take an active role in your processes. OpenAI’s function calling capability extends these possibilities by connecting AI directly to different systems and automated tasks.

In practice, AI can retrieve information from multiple systems, process inputs and perform defined actions as part of an automated workflow. This speeds up and simplifies work. For example, checking inventory, logging a maintenance need and creating a report can all be handled with a single command through AI.