As in many other fields, those of us who work on turning scattered information into actionable knowledge have seen that the advent of AI has changed the game. In a very short space of time, we have gone from analysing information on our own to working alongside systems that play an active role in how we make decisions.

In this context, the main message of Deloitte’s article entitled “AI and the future of human decision-making” is clear:

👉 AI does not replace human decision-making; it redefines it.

The reality is that many organisations are adopting AI to make decisions more quickly, but they are not always improving the decision-making process itself. In fact, according to Deloitte, AI does not always improve decision-making: if the process already had problems—too much data, a lack of judgement or low confidence in the information—AI tends to amplify them rather than correct them.

And that is where the real reflection comes in:

→ More information does not always mean greater clarity

→ More automation does not always mean better judgement

The difference lies not in using AI more, but in how it is integrated into the decision-making process.

Organisations that are making progress understand that decision-making is not something that happens spontaneously, but a skill that must be consciously developed and improved.

Because ultimately, the challenge remains the same: how to transform information into coherent, shared and actionable decisions.

That’s where solutions like InTool come into their own:

• Continuously monitoring the environment to identify which signals matter
• Bringing together scattered information to avoid isolated decisions
• Enabling knowledge to flow freely within the organisation
• Supporting analysis with AI, without replacing human judgement

At a time when technology is speeding everything up, the competitive advantage lies not in making decisions faster, but in making better decisions.