Guide · Artificial intelligence
Artificial intelligence use cases in business, by department
The AI use cases with the best return in a company are concentrated in tasks with a lot of text, volume and small exceptions: customer service, sales qualification, reading documents and invoices, candidate screening, reports and operations. This guide sorts them by department and by difficulty so you know where to start.
How to read this list
For each case we indicate the data needed and the difficulty (low, medium or high) of implementing it. Low difficulty usually means weeks and a contained budget; high means there are integrations, sensitive data or a high risk if something goes wrong. To choose between them, the most useful approach is to score each case by value, ease and risk, as we do in the AI diagnostic.
AI use cases by department
Sales
| Case | Data needed | Difficulty |
|---|---|---|
| Automatic qualification of incoming leads | Forms, emails, CRM | Low |
| Draft quotes and proposals | Catalogue, prices, previous quotes | Medium |
| Meeting summaries and CRM updates | Recordings or notes, CRM | Low |
| Sales forecasting and opportunity prioritisation | History of opportunities | High |
Marketing
| Case | Data needed | Difficulty |
|---|---|---|
| Assisted content production with editorial review | Brand guide, sources | Low |
| Analysis of opinions and reviews | Reviews, surveys | Low |
| Segmentation and campaign personalisation | Customer data, analytics | Medium |
| Visibility in AI search engines (GEO) | Website, Search Console | Medium |
Customer service
| Case | Data needed | Difficulty |
|---|---|---|
| Chatbot for frequent questions on web and WhatsApp | FAQs, policies | Low |
| Assistant for the support team with a knowledge base | Documentation, tickets | Medium |
| Ticket classification and routing | Ticket history | Low |
| Incident resolution with actions in systems | Orders, CRM, helpdesk | High |
Finance and administration
| Case | Data needed | Difficulty |
|---|---|---|
| Reading of invoices and delivery notes | PDFs and images | Medium |
| Reconciliation and detection of differences | Accounting, banks | Medium |
| Analysis of contracts and expiry dates | Contracts | Medium |
| Narrated financial reports | ERP, spreadsheets | Low |
Human resources
| Case | Data needed | Difficulty |
|---|---|---|
| Shortlisting of applications with defined criteria and human review | CVs, profiles | Medium |
| Internal assistant on policies and collective agreements | Manuals, agreement | Low |
| Guided onboarding of new hires | Documentation, training | Low |
In recruitment, bias and regulation need care: these are high-risk uses under the EU AI Act and require human oversight and traceability. See human resources software.
Operations, logistics and purchasing
| Case | Data needed | Difficulty |
|---|---|---|
| Reading orders from email and entering them in the ERP | Emails, ERP | Medium |
| Supplier tracking and delay alerts | Orders, transport | Medium |
| Demand forecasting and stock optimisation | Sales history | High |
| Visual inspection and quality control | Labelled images | High |
And by sector
Healthcare
Appointment management, administrative tasks and documentation, never replacing the professional.
AI for healthcare →Insurance and fintech
Document analysis, customer service and pattern detection, with strict controls.
AI for insurance →Where to start
- Choose a process with volume, text and clear measurement, not the most spectacular one.
- Start with an assistant over your documents or a chatbot: they deliver value quickly and build the knowledge base.
- Move to an AI agent when the answers are reliable and you also want it to carry out tasks.
- Follow the plan for implementing AI in a small business to pilot, measure and scale.
Frequently asked questions
Which departments benefit most from AI?
Customer service, sales, administration and finance, human resources and operations, because they concentrate tasks with a lot of text, volume and small exceptions.
Which AI use case is the easiest to start with?
A chatbot or assistant that answers with your own documents, and the classification of tickets or emails. They require few connected systems and deliver value in weeks.
What data do I need to use AI in my company?
It depends on the case: documents and FAQs for an assistant, ticket history for classification, invoices for extraction. Part of the diagnostic is assessing their quality and what needs preparing.
Which AI use cases are high risk?
Those that affect decisions about people (recruitment, credit, insurance), those that act on critical systems and those that handle sensitive data. They require human oversight, traceability and regulatory compliance.
How do I prioritise use cases?
By scoring each case on value (savings or revenue), ease (data and integrations), risk and adoption, and starting with the one with the best value-to-ease ratio.
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
- 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