Lenox HR

Augusto Makar is Commercial Director at Lenox HR, with 19 years of experience working alongside companies across Latin America. He focuses on implementing solutions that bring structure and simplicity to HR operations, particularly in time tracking and compliance across multi-country environments. His work centers on helping organizations adopt technology and advance the digitalization of their processes, using practical tools for day-to-day operations.

Why are many Latin American companies discussing artificial intelligence while still running people operations on spreadsheets?

Latin American companies are debating the use of artificial intelligence while still tracking attendance in spreadsheets.

In boardrooms, AI dominates the conversation.
In HR teams, Excel still runs the operation.
That contradiction is not an exception.
It’s the norm.

Across the region, organizations are exploring predictive analytics, automation, and AI-driven decision-making. At the same time, many HR teams still spend hours every week manually consolidating attendance, managing time-off requests through email, or cross-checking spreadsheets to understand what happened last Thursday.

The issue is not a lack of interest in technology.
It’s a misalignment of priorities.

Before applying artificial intelligence to complex processes, there are simpler, faster, and far more impactful decisions that many organizations have not yet made.

The gap no one measures
There are effectively two speeds in HR across Latin America.

On one side, organizations that have already digitized their people operations. They track attendance in real time, manage time-off through integrated systems, centralize employee records, and generate consistent data to support decision-making.
On the other hand, organizations that recognize the need to evolve—but keep postponing the decision.

They are caught between operational urgency and the perception that implementing HR systems is complex, expensive, or disruptive.
The cost of that delay is rarely measured.
Based on usage patterns observed across more than 1,500 organizations in the region, a typical company still spends several hours each week on HR tasks that could be fully automated today—without artificial intelligence, without large investments, and without long implementation cycles.

Those hours are paid for.

They consume energy.

And they generate no strategic value.

Excel is not the problem. It’s the symptom.

Blaming spreadsheets would be missing the point.
For years, Excel was the only accessible tool for companies that needed to manage shifts, absences, and employee records without access to enterprise HR systems. It solved a real problem.

The problem is that the context has changed—and spreadsheets haven’t.

Organizations have grown.

Teams have become distributed.

Hybrid and remote work have added complexity to time tracking.

Regulatory requirements have increased.

Excel remained exactly the same.

At the same time, the technology landscape has shifted dramatically. Cloud-based HR platforms—once limited to large enterprises—are now accessible, fast to deploy, and capable of delivering immediate returns.

Automate before you “intelligentize.”
There is a sequence that many organizations are skipping.

Artificial intelligence in HR only makes sense when data is structured, processes are digital, and teams have time to think beyond operations.
When HR teams still spend hours on manual tasks, AI has nothing meaningful to operate on.

Automating core processes—time and attendance, absence management, document workflows, and operational reporting—is not the final stage of digital transformation.

It’s the first.

The stage that frees up time.

Reduces errors.

And gives HR the foundation to move beyond administration.

AI can wait. Attendance can’t.
The conversation around artificial intelligence is valid—and necessary.

But it has a prerequisite that is often overlooked: operational clarity.

A company that cannot accurately track how many hours employees worked last week is not ready for predictive analytics on turnover. A company still relying on paper-based processes is not prepared to deploy AI-driven employee support systems.
Digital transformation does not start at the top of the pyramid.

It starts by fixing what already exists.
By organizing processes.

By automating what consumes time unnecessarily.
By giving HR teams the tools to do their job effectively.

Everything else comes after.

Artificial intelligence will reshape how organizations manage people.

But first, someone has to close the spreadsheet.