Five industries where we already understand the processes, terminology and systems — hospitality, local government, real estate, human resources and media. The same team and the same method, adapted to the language of each industry.
AI agents working across the guest journey: check-in, digital concierge, reputation management and upselling, connected to the PMS the hotel already uses. Designed for independent hotels and small groups, with dedicated content, published case studies and process-specific guides.
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Faster citizen services without taking decisions away from the people accountable for them: complaint and incident management, request handling and back-office support, with human oversight and EU AI Act requirements considered from the design stage.
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Lead qualification and an AI sales assistant for property developers and real estate agencies, integrated with the CRM. It reduces response time for people looking for a home — often the point where business is won or lost.
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Automate repetitive HR work without automating judgement about people: onboarding, documents, internal assistants and administrative tasks, with data governance, human oversight and support for GDPR and EU AI Act compliance.
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BigLearn's proprietary platform for newsrooms: it monitors sources, validates data, retrieves archive content through RAG and prepares news stories — while editorial decisions always remain with the people responsible for what gets published.
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We do not work only with predefined industries. We design Artificial Intelligence solutions around the processes, data and systems of each business. If your industry is not here yet, it could be next.
Talk to us →The terminology, the systems and what is at stake when something goes wrong. An AI agent answering a hotel guest can fail in very different ways from one assisting a citizen, and the level of human oversight required is not the same.
That is why these five areas have their own solutions rather than being grouped into one generic page. When we already understand how an industry works, the diagnosis starts further ahead and the first meetings do not need to be spent learning the basics of your business.
The team, the method and what we are prepared to say no to. We always start with a specific process that is costing time, measure what it costs today, and only then decide whether AI is the right tool. If a simple rule works better, we will say so.
The people responsible do not change either: direct senior involvement from diagnosis through implementation, without layers between the people who sell the project and the people who build it.
The starting point. With an industry solution, we already understand the typical processes, terminology and systems involved — the PMS of a hotel, the CRM of a real estate agency or the document management system of a municipality — which shortens the diagnostic phase.
What we build is still adapted to each client. What you save is the time normally spent explaining how your industry works.
Yes. These five are the industries where we currently have the most published case studies and accumulated domain knowledge, not the only ones we work with. We also have projects in healthcare, construction, insurance, HORECA and scientific research, all available in our case studies.
The method remains the same: start with a specific process that is costing the business time.
They are projects built on a common foundation. HotelariA, AutarkIA and Imobiliar-iA share the same agent architecture and data governance practices, but each implementation connects to the client's systems and is designed together with the people who currently perform the work.
Ritmo Editorial is the exception: it is a proprietary BigLearn platform.
It starts with a conversation about a process that is costing time, not about technology. For selected projects, we build a proof of concept before any commitment, so that results can be seen rather than simply promised.