{"id":8822,"date":"2024-01-08T16:57:40","date_gmt":"2024-01-08T15:57:40","guid":{"rendered":"https:\/\/tacstone.nl\/the-ai-mailroom-robot\/"},"modified":"2025-11-05T14:25:00","modified_gmt":"2025-11-05T13:25:00","slug":"the-ai-mailroom-robot","status":"publish","type":"post","link":"https:\/\/www.tacstone.nl\/en\/the-ai-mailroom-robot\/","title":{"rendered":"The AI mailroom robot"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_spacing=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text]Writing text, generating images or solving mathematical puzzles, today’s AI models can do it all. When we read the headlines on sites like NU.nl and NOS or participate in any conversation in the office, it is (too) often about AI. Reason enough to assume that AI is also being used everywhere in the workplace. However, outside of asking a simple question to ChatGPT, this lags behind. What is the reason for this? <\/span> <\/span>[\/vc_column_text][vc_column_text]\n

The promise of AI<\/h2>\n

The lack of AI in the workplace is in the applicability of the various AI models. When we see OpenAI’s smart GPT-4 model, we are all impressed, but using it efficiently during our daily work remains difficult. <\/span> <\/span><\/p>\n

This is when Robotic Process Automation (RPA)<\/a> comes around the corner. RPA<\/a>, also known as software robots<\/a>, is a suitable platform for applying AI models to business processes. The software robots can extract relevant data from applications such as Outlook, Topdesk and ticketing systems. To then deliver it to the AI model to apply intelligence. The output of the model, for example a classification or prediction, the software robots use again to perform follow-up work. <\/span> <\/span><\/p>\n

What does this look like in practice?<\/span> <\/span><\/p>\n

At one of our clients in the housing sector, we successfully implemented an AI model using RPA\/software<\/a>robots<\/a>. Below is a description of this customer case. <\/span>[\/vc_column_text][divider line_type=”No Line” custom_height=”20″][vc_column_text]\n

The application of AI using RPA<\/a> to the mailroom<\/span><\/h2>\n

The housing corporation receives 20,000 messages annually. These messages come from both tenants, suppliers, municipalities and other third parties. All of these messages were manually categorized by employees and archived in the Document Management System (DMS). Through the DMS, the messages reached the appropriate department, to be processed from there. <\/span>[\/vc_column_text][image_with_animation image_url=”3352″ animation=”Fade In” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][divider line_type=”No Line”][vc_column_text el_class=”nooitklein”]When one of the mailroom employees retired, a number of problems came to light, namely:[\/vc_column_text][vc_column_text]\n