The HR function has never had access to so much information as it does today. And yet, one of the most persistent challenges remains the same: detecting early on when an employee is dissatisfied or disengaged from their work.
For a long time, the tools available to understand the real situation of people were limited: an annual climate survey, a performance review, the occasional one-to-one. The information existed, but it arrived too late.
Artificial intelligence is transforming that reality. Today, HR teams can identify early warning signals, get ahead of situations that used to only come to light when they were already hard to reverse, and make decisions backed by data, not just intuition.
The real cost of losing talent and why it keeps happening
The cost of losing talent rarely shows up in a single budget line. It’s the knowledge that walks out the door, the processes that break down, and the time it takes a team to get back up to speed. According to data from Humand clients, organisations that keep their teams informed and connected recover up to three hours of productive work per person, per week a signal of how much sustained engagement is worth, and how much is lost when it’s neglected.
Why does it keep happening? In part, because warning signals arrive too late. According to Deloitte’s Global Gen Z and Millennial Survey 2026, which gathered responses from more than 22,500 people across 44 countries, nearly half of these workers say they feel burnt out at work. Burnout, when left undetected, leads to disengagement. And disengagement leads to turnover.
The problem isn’t a lack of information. It’s that the information available doesn’t always reach the right people at the right moment to act on it.
From intuition to insight: what AI brings to the table
Until recently, understanding how an employee was feeling depended largely on a manager’s intuition, or on tools that only provided an annual snapshot of the situation. Artificial intelligence changes that logic.
AI-powered systems can analyse behavioural patterns in real time: whether someone has stopped engaging with internal communication channels, whether their interactions with company platforms have dropped off, whether there are shifts in how they respond to pulse surveys. No single signal tells the whole story but together, they make it possible to identify situations that would otherwise go unnoticed.
The result is a shift in model: from reactive management to preventive management. It’s not about predicting the future, it’s about acting on signals that already exist, but that until now couldn’t be read with sufficient speed or precision
What’s concretely changing in HR teams
Adopting artificial intelligence in HR isn’t just a change of tools. It’s a change in the type of decisions the function can make and when it can make them.
More relevant communication for each person. Rather than generic messages to the whole organisation, AI makes it possible to segment and personalise internal communications based on each employee’s profile, team or situation. The result is greater participation and a stronger connection to what the company is communicating.
Real-time engagement monitoring. Metrics such as the frequency with which people use internal platforms, participation in surveys and interaction with content make it possible to get a continuous read on the state of the team, not just a periodic record.
A more strategic role for HR. When HR teams have ongoing information about the real situation of their people, they can act as a strategic business partner, not just an administrative function. The difference lies in having data that allows them to anticipate, not just record what’s already happened.
How Humand is bringing AI to frontline teams
Nicolás Benenzon, CEO and Co-founder of Humand, recently appeared on NYSE Floor Talk to discuss something concrete: how artificial intelligence is changing the work of HR teams in companies with deskless employees.
In the interview, Nicolás introduced Sammy, Humand’s AI agent that resolves HR requests in real time: time-off requests, shift changes, payroll verifications, HR letters. What used to take days, Sammy resolves in seconds. In organisations processing more than one million tickets a year, that’s not a minor detail, it’s the time that HR teams get back to focus on their people.
That is exactly the transformation this article describes. When the operational side is taken care of, the HR team can focus its attention on what truly moves the needle: detecting disengagement signals before they turn into resignations, acting ahead of time and supporting people at the moments that matter. AI doesn’t do the human work. It gives back the time to do it well.
