AI by industry
Artificial intelligence by industry
AI pays off differently in each industry: the data, the regulation and the processes worth automating all change. Here is one page per industry, with use cases, sample projects, data and compliance points and reference prices. If your industry is not listed, the approach is the same: start from a process with volume and measure it.
Industries where we apply AI
AI for e-commerce
We apply AI to online stores: shopping advisor, chat support and returns, recommendations, product pages, and order and stock automation.
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AI for real estate
AI for real estate agencies: instant reply to leads, qualification, listings, matching with demand, and automation of contracts and management.
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AI for clinics and healthcare
AI for clinics and health centres: appointments, administrative support, documentation and follow-up, with reinforced privacy and professional oversight.
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AI for logistics and transport
AI for logistics: reading of delivery notes and invoices, incident management, shipment tracking, demand forecasting and automated customer service.
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AI for human resources
AI for human resources: policy and collective agreement assistant, onboarding, recruitment support with human oversight and document management.
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AI for insurance and brokerage
AI for insurers and brokers: an assistant over policy wordings, reading of claim forms and invoices, policyholder support and claims handling support.
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AI for industry and manufacturing
AI for industry: visual quality inspection, predictive maintenance, a technical documentation assistant, quotes and production planning.
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AI for hospitality and restaurants
AI for hotels and restaurants: bookings by WhatsApp and voice, guest support, review management, demand and purchasing forecasts, with human review.
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AI for law and accounting firms
AI for law firms, accountancies and advisers: an assistant over your documents, invoice and contract reading and first-line support, with confidentiality.
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AI for education and e-learning
AI for academies and training platforms: virtual tutor, content generation reviewed by teachers, personalised learning paths and administrative support.
Learn more →How we adapt AI to each industry
- Process before technology: we look for the task with the most volume, text or documents and a measurable outcome.
- Industry data and systems: ERP, PMS, CRM, clinical records, TMS… each one needs its own integration.
- Regulation: GDPR and the AI Act always; healthcare, finance, insurance and education have additional rules.
- Measured pilot: a defined version, with metrics, before scaling up.
To see our general approach, read how to implement AI in a small business or the use cases by department.
Frequently asked questions
Which industries do you cover with artificial intelligence?
We have pages for e-commerce, real estate, clinics and healthcare, logistics, human resources, insurance, industry, hospitality, professional firms and education. We work in more industries on a project basis.
What if my industry is not on the list?
It is not a problem. AI is applied to processes, not industries: if you have repetitive tasks with text, documents or queries, it can be studied. Tell us your case.
Are the prices and projects for each industry real?
Prices are reference prices excluding VAT and projects are illustrative, anonymised examples. The final quote is confirmed after a first meeting.
Where do I start?
Choose the process with the most volume that is easiest to measure, and start with a 4-8 week pilot. A prior diagnostic helps to prioritise.
Shall we talk about your project?
Tell us about your case and we will reply within 24-48 hours with a proposed scope and an indicative quote.
Tell us about your project
Describe what you want to achieve and which systems you work with. We reply within 24-48 hours.
Artificial intelligence services and guides
Everything we do with AI for business, from the diagnostic to the product in production. Artificial intelligence for business.
Services
- AI agents for businessSystems that plan and carry out tasks on your CRM, ERP and email.
- Custom AI chatbots24/7 support and sales on web and WhatsApp, connected to your systems.
- Assistant over your company documents (RAG)An AI that answers with your information and cites the source.
- AI integration in apps and softwareAdd language models to your product without rebuilding it.
- Artificial intelligence consultingDiagnostic, prioritised cases and a roadmap with return.
- Machine learning and predictive analyticsDemand forecasting, churn, anomalies and predictive maintenance.
- Computer vision and OCR with AIReading invoices and delivery notes and image-based quality inspection.
- Custom AI app developmentApps and platforms with AI built in from the design stage.
- Process automation with AIWorkflows that save hours of manual work.
- AI voice assistantsPhone agents that answer calls and book appointments using your systems.
- AI recommendation systemsPersonalisation and recommendations measured with A/B tests.
Guides
- AI agent, chatbot or assistant: differences
- How much an AI chatbot or agent costs
- What RAG is and how to use it in your company
- AI use cases in business by department
- How to implement AI in a small business
- n8n, Make, Zapier or custom development
- How to choose the AI model for your company
- AI, GDPR and the AI Act: what to review
- How to measure the ROI of an AI project
- How to appear in ChatGPT and AI Overviews
- What is MCP (Model Context Protocol)
- Automation with n8n for business
- 17 tools to develop apps with AI
- Mobile apps with artificial intelligence
- 10 AI automations for small businesses
- WhatsApp Business with AI: customer service
- AI in mobile apps: device or cloud
AI by sector
- AI for e-commerce
- AI for real estate
- AI for clinics and healthcare
- AI for logistics and transport
- AI for human resources
- AI for insurance and brokerage
- AI for industry and manufacturing
- AI for hospitality and restaurants
- AI for law and accounting firms
- AI for education and e-learning