Legacy HCMs Aren’t Keeping Up

You know you’ve been in HR tech a long time when you’re encouraging people to replace the systems you designed yourself.

Over more than 25 years in this space, I’ve delivered Core HR for Oracle, covered the HCM market as an executive at Gartner, and led Employee Workflows strategy at ServiceNow. I’ve watched HCMs move from on-premise installations to cloud-based self-service. I’ve seen old solutions fall out of date as the business world places new demands on HR.

But this moment is different. As AI puts pressure on HR to be faster, more flexible, and more strategic than ever, the gap between what CHROs need from their current HCMs and what those systems can deliver has never been wider.

Legacy HCMs were designed to store information, not assemble and deliver it just-in-time to the right person and for the right reason. They were built for a world where it was acceptable to spend weeks assembling the data needed for a major corporate initiative. Those days are over.

The pace of change in the world has never been faster. Whether a change is societal, geo-political, legal, or economic, there’s a high chance HR must respond. Whether manufacturing is moved from Asia to Mexico, the economy in Eastern Europe is under stress, or there is a global pandemic, it will land on HR in some way.

Legacy HCMs Require Work That Should Be Automated

The first problem with legacy HCMs is that they require far too much manual work.

Think about what happens when your executive team wants to understand the impact of a planned reorg. HR has to dig through multiple systems that don’t talk to each other, consult with Finance, manually compile a picture of your workforce, build a spreadsheet, and hope it’s still accurate by the time anyone reads it.

When an immigration law changes, HR has to manually identify every affected worker, figure out which functions need to act, and coordinate across all of them by hand. Setting up operations in a new state? Making a business and legal-informed decision where to hire more workers requires manual research. Then someone has to whiteboard the hiring parameters, the compliance requirements, the org structure, and then manually configure all of it.

When everything has to be done manually, the plans HR puts together are often out of date by the time they’re finished.

The Seat-Based Pricing Model Is Outdated

The second problem with today’s HCMs is how much they cost.

You pay for every record in the database, whether that worker is full-time, a contractor who was only there for a month, or a deskless worker who only logs in occasionally. Any company that needs a unified view of its total workforce is faced with a pricing structure that discourages it.

The result is that most organizations keep some employees in one system, contingent workers in another, and international hires are increasingly within an EOR (Employer of Record). Getting a full picture of the workforce requires stitching data sources together after the fact, which means more manual work, more lag, and more decisions made with incomplete information.

HR doesn’t get the same software budget sales does. Every unnecessary dollar it spends on an outdated, inflexible system is a dollar it can’t spend delivering more value to the business.

HR Is Under More Scrutiny Than Ever

What this means is that, at a moment when HR’s under a microscope, it’s being forced to waste time and money on administrative work that AI can do much faster at a fraction of the cost.

When HR can’t be as efficient as the business needs, it’s seen as a hurdle. And right now, that label is dangerous. Budgets are being cut. Teams are being consolidated. CEOs and CFOs are asking hard questions about productivity.

HR leaders who are encumbered by outdated processes are under pressure. Pressure is not new to HR leaders. HR leaders are experienced at navigating through tough times. This time feels different, more intense, and urgent.

AI-Native HCMs Are Going to Change the Game

I’ve lived through the promise of the “strategic HCM” before.

“Buy this and HR will have a seat at the table.”

“Buy this and you’ll be seen as a business partner instead of a back office.”

It happened during the client server days. It happened when self-service started to come out. And yet it’s never been true. Mostly because prior technologies lacked the dynamic context to take an isolated data transaction that happened at the end of manual research and decision-making and make it a fully supported, dynamic business decision.

But after more than 25 years building and studying HR tech, I’m convinced AI will finally make the high-impact HCM a reality. It only takes a few hours with Claude Code to see why this moment is different from every other HR tech “revolution.”

With an AI-native HCM, change management that used to take weeks of manual coordination can be handled in hours. Compliance changes that required a room full of people with spreadsheets can be automated in real time, then simply reviewed and submitted. A CHRO can walk out of an executive meeting and put together a full analysis of potential expansion locations in minutes instead of days.

HR can finally run at the speed of change.