Artificial intelligence

What is artificial intelligence?

Artificial intelligence (AI) covers the technologies that let computer systems simulate human capabilities such as learning, reasoning, language understanding, image recognition or decision-making. In a company it has become a lever of digital transformation, process optimisation and better user experience.

There are five main families:

• Machine learning: systems learn from data.
• Deep learning: a subset of machine learning that uses deep neural networks.
• Generative AI: able to produce content — text, image, code, video.
• Natural language processing (NLP): understanding and generating human language.
• Computer vision: recognising and analysing images and video.

Why is AI strategic for companies?

1. Intelligent automation: invoice processing, customer support, contract analysis, stock management. Several international studies suggest up to 60% of administrative tasks could be partly automated.
2. Data-driven decision support: spotting trends invisible to the human eye, anticipating customer behaviour, optimising operational performance and reducing risk.
3. A better employee experience: internal chatbots, virtual assistants and intelligent recommendations inside CRM or ERP systems simplify journeys and raise productivity.

That promise only materialises, though, if employees genuinely adopt the new capabilities.

What are the concrete business use cases for AI?

• Customer relationships: chatbots and conversational agents, sentiment analysis, personalised recommendations. Amazon and Netflix use recommendation algorithms that drive a significant share of their sales and engagement.
• Human resources: automated CV screening, predictive turnover analysis, personalised learning journeys.
• Finance: fraud detection, accounting automation, financial forecasting.
• Manufacturing: predictive maintenance, logistics optimisation, automated quality control.

AI is now built into most business software: CRM, ERP, HRIS, PLM and collaboration platforms.

Why is adoption AI's biggest challenge?

AI only creates value if it is used effectively. Yet many companies invest in AI-enriched tools without supporting their teams enough. The result: advanced features go unused, people misunderstand them, or reject them outright.

Bringing AI into business tools raises four challenges: understanding the new capabilities, trusting algorithmic recommendations, training for responsible use, and the cultural change management that goes with it.

AI, security and compliance: what is at stake?

With GDPR enforcement tightening and the AI Act coming into force in Europe, companies have to govern the use of sensitive data, ensure automated decisions are traceable, prevent inappropriate use of generative AI and put suitable training in place.

These obligations do not concern only IT or legal teams: they involve every user. That is where digital adoption becomes strategic.

What role for digital adoption platforms?

A digital adoption platform is not only for training: it also makes usage safer. In practice it can:

• surface contextual GDPR reminders before a data export;
• display warnings about the use of generative AI;
• spread cybersecurity good practice;
• guide employees through compliant use of new features.

The information appears at the precise moment the user acts, which reduces the risk of misuse. Security becomes part of the user experience.

Conclusion

Artificial intelligence is reshaping organisations and is a lever of innovation, competitiveness and better employee experience.

But its success depends on being properly adopted and safely used. The challenge is not only technological: it is human, organisational and strategic.

Frequently asked questions