Setting up an AI agent in your museum: the concrete steps

The first step does not concern technology. It concerns your institution. Before configuring anything, you need to gather the documents that describe your activity. These are your brochures, your pricing grid, your opening hours, your current exhibition catalogue, your internal frequently asked questions, your access map and your accessibility conditions. These documents constitute the raw material that the agent will assimilate to become a competent interlocutor on your institution. You do not need to write new documents. The brochures you already hand to your visitors, the PDF of your pricing grid, the Word document of your internal FAQ are sufficient. Accepted formats are PDF, Word and plain text, with a maximum size of 10 megabytes per file.

The second step is registration on the platform. This operation takes two minutes. You enter your institution's name, your contact details, and you access a dashboard that will be your management interface. This dashboard requires no technical skills. It was designed to be used by museum directors, reception managers and cultural administrators, not by software engineers.

The third step is importing your documents into the knowledge base. You open the dedicated section in the dashboard, select your files and import them. The system processes them automatically. Your documents are split into intelligent segments, and each segment is transformed into a representation that allows the agent to understand the meaning of your information, not merely the keywords. When a visitor asks "Is the museum open on Sundays?", the agent will not search for the word "Sunday" in a text. It will understand that the question concerns opening hours and will retrieve the relevant information from your schedule. This import process takes five minutes. At the end of those five minutes, the agent knows your institution.

The fourth step concerns configuring your telephone number. Your institution keeps its own number. Two options are available. The first is call forwarding: your current number redirects incoming calls to the number assigned to your AI agent. The second is number porting: your number is directly transferred to the telephony infrastructure of the solution. In both cases, the change is invisible to your visitors. They dial the same number as before and hear a voice that introduces itself on behalf of your museum. The agent operates as a white-label product: the caller hears "Hello, Museum of Light", never the name of the solution provider. This detail is fundamental for your visitors' trust and the consistency of your brand image.

The fifth step is personalising the reception. You define the introductory message the agent will speak at the beginning of each call. You choose the agent's default language, knowing it can switch instantly to any of the 15 available languages if the visitor requests it. You configure booking parameters if your museum offers guided tours, workshops or special events. You enter pricing if it does not already appear in the imported documents. All this configuration is done in the dashboard, through menus, text fields and checkboxes. No line of code is necessary.

The sixth step is testing. Before making the agent operational for the public, you call it yourself. You ask the questions your visitors usually ask. You verify that the opening hours communicated are correct, that the announced prices are up to date, that the exhibition information is accurate. You test language switching by asking the agent to switch to English, then to Spanish, then to any other language relevant to your tourist footfall. You test the booking process by simulating a guided tour request for a group. You test the transfer to a human by saying you wish to speak to someone. This test is your safety net. It allows you to correct erroneous or incomplete information before the first real visitor calls.

The seventh step is going live. Once your tests are conclusive, the agent is activated. Incoming calls are now handled by artificial intelligence. Your receptionist is not replaced: they are freed from repetitive calls about hours, prices and simple bookings, and can devote their time to in-person welcome, cultural mediation and complex requests requiring human expertise. The agent can handle up to five calls simultaneously, where your receptionist could only handle one. During closing hours, weekends and public holidays, the agent continues answering without interruption.

The eighth step begins the day after going live and never stops. It is monitoring. Each morning, you check the dashboard. You discover how many calls were handled the previous day, the average conversation duration, the satisfaction rate automatically calculated after each call, and the list of follow-up actions. You identify calls where satisfaction was rated as low and read the transcript to understand what happened. You spot recurring questions the agent could not answer satisfactorily, indicating that a document is missing from the knowledge base or that information needs updating. This daily monitoring, which takes ten to fifteen minutes, is what transforms a technological tool into a genuine extension of your reception team.

One point deserves particular attention: the connection with your existing booking system. If your museum already uses booking software, the agent can connect to it directly. It automatically sends booking data, including date, time and number of visitors, to the external system and receives the official confirmation number in return. If the external system does not respond, a fallback mechanism generates a local confirmation number. Configuring this connection is done in the dashboard by entering your system's address and access key. You do not need to replace your existing tools.

The cost of this setup is zero. There are no installation fees, no configuration fees, no fixed subscription. You pay only for the call minutes consumed, at 0.15 dollars per minute. An average museum receiving 150 calls per day with an average duration of three minutes spends between 200 and 400 dollars per month. The trial period allows you to verify that the service meets your expectations before any financial commitment.

What distinguishes this setup from that of conventional software is its speed. From registration to activation, the process can unfold in a single day. Not weeks, not months. One day. And if you discover that a document is missing from the knowledge base three weeks later, adding it takes five minutes. The knowledge base is living, evolving, and grows at the pace of your institution. Your telephone reception, meanwhile, never experiences downtime again.

Discover ai.artedusa: https://ai.artedusa.com/