Document AI configured for your business.

The computer model alone is not enough to tell. The documents, software, available memory and number of people working at once all matter. Some simple tasks may suit a regular processor; others need more memory or a graphics card. We assess the task, workload and company equipment. We do not promise a particular response time.

Not necessarily. We first configure the application and test representative examples. Fine-tuning an existing model is optional and must be justified by the task. We compare both versions on examples kept separate from training and retain the one that handles the task better.

It means showing the people who use the application how to check results, what to approve and what to do when information is missing. It does not mean training the model.

Some limited tasks may suit a computer without a dedicated graphics card. The processor, RAM, document complexity, normal office workload and number of simultaneous users all matter. We assess the available equipment and do not guarantee a particular response time.

We do not assume you need to buy a computer for training. Everyday use and model adaptation can have different requirements. If adaptation needs other resources, we agree in advance where data is prepared and processed. We do not transfer data without agreement.

No. Adding approved documents may update what the application searches, but it does not automatically train the model. Search and additional training are different processes.

Before work begins, we agree which examples are needed, where they are processed, who can access them and how long they are kept. A local setup for everyday use does not automatically make training, maintenance or support local too. We do not move data outside the agreed boundary.

An installation verified to run fully on-site can process documents without an internet connection once its components are installed and tested. Updates and software downloads may need internet access. We agree separately on online backups or remote support; there is no hidden switch to an online AI service.

We check the format, language, page layout and scan quality using a representative example. PDFs, office documents and images behave differently; we do not promise support for every file before testing.

They can, if the task and equipment support it. One office machine may serve several colleagues, but we check user count, document access and what happens when requests arrive at the same time.

A missing field should stay blank or be flagged. Search should show the source document or say it could not find one. Someone reviews and approves information before it is exported, sent or entered into another system.

We check the software version and its supported import, export or documented interface. We do not assume a direct connection is available. If the data is already structured, ordinary rules may be enough; AI is not needed for every step.

At handover, you get instructions for normal use and the agreed manual fallback. Updates, backup checks and further support can be scoped separately, with responsibilities agreed in advance.

If the application runs on that computer, it will be unavailable while the machine is off or broken. Your team needs a manual fallback and suitable backups. For several users, we can assess a dedicated office machine.

No. Local search finds passages in approved files and can show them as answer sources. Changing those documents does not change the model. Additional training is a separate, optional intervention, agreed in advance only when there is a specific reason.

No. A public chatbot is a separate project, with information intended for visitors, access rules and availability requirements. It does not get access to private company files.

No. It can prepare information for review, but it does not make accounting or tax decisions, file returns or make payments. The responsible person checks and decides what gets recorded.