Analyst Perspectives

Buying HR technology is a significant decision. It requires months of software provider reviews, internal alignment, business case development and implementation planning. When the contract is signed and the system goes live, it often feels like the hard part is over. In reality, the work that determines actual success is just beginning.

Let's be blunt: The pressure to adopt AI in HR is a panic button being hit by the C-suite. The mandate from the boardroom is clear, and the pressure is intensifying: HR must adopt AI to remain competitive. This directive often lands on the desks of HR leaders who are already managing complex environments, creating a dangerous disconnect between executive ambition and operational reality.

Integration has evolved from a technical requirement into a strategic cornerstone in today’s HR technology landscape. Yet many organizations still treat connectivity between systems as a back-end IT concern rather than the foundation of the employee experience. That mindset is rapidly becoming a liability. The reality is simple: If your systems cannot connect, your strategy cannot connect either.

HR technology is entering a new era, and with it comes a challenge that many leaders underestimate: the need to embrace platform thinking as a core competency. For years, we’ve approached technology decisions as a way to solve pain points—patching gaps, fixing inefficiencies and responding to immediate needs. That mindset is understandable, but it’s also the reason so many organizations are...

You can buy the flashiest software in the marketplace, win awards for digital transformation and run a picture-perfect implementation project. But if your data foundation is shaky, none of it will deliver. Organizations invest millions in tools only to stumble over incomplete, misaligned or fragmented data. The wall they hit afterward? It is built from poor decisions disguised as “glitches.”

There is a different kind of friction emerging in the HR technology market today. It is harder to quantify but easier to feel if you are inside the decision-making process. It is not a lack of interest or even budget. It is fatigue.

You can’t examine an HR software roadmap today without encountering AI—ubiquitously. Natural language search, skills inference, personalized learning, intelligent automation, adaptive planning, worker twins, conversational agents... These aren’t just new features; they represent a new organizing principle. A new architecture for how platforms structure work and how individuals engage with systems.

There’s a subtle but important truth I’ve seen play out across dozens of organizations: HR software doesn’t define your strategy—but it will expose whether you have one. Too often, organizations treat the HR software stack as a series of independent decisions: a new ATS here, a learning platform there, maybe a refreshed core HRIS every few years. Each decision is justified on its own. Each serves...

For nearly 20 years, I have attended the Human Resources Technology Conference and Expo to take the temperature of the market. This year, the energy felt different—less showy, more grounded. I was able to engage with more than 40 software providers for deeper-dive discussions, and I left with three big takeaways and one nagging concern that I can’t shake.

It’s easy to celebrate a go-live. It’s visible, it’s measurable and it comes with a finish line. But anyone who’s been through an HR technology implementation knows that go-live isn’t the end. It’s the beginning.

Compensation data is everywhere. Internal equity metrics, market benchmarks, performance history, pay transparency requirements—there’s no shortage of data coming in from every direction. But volume does not always guarantee clarity. It is not about the data your system can collect, it is about whether that system—and the people behind it—can turn the data into decisions that actually make sense....

I recently attended the Oracle Apps & Industry Analyst Summit in Redwood City, California. Over the course of two days, Oracle offered a concentrated look at a market that is both racing ahead and tripping over its own shoelaces. Generative, predictive and now agentic artificial intelligence (AI) have become the new currency of competitive advantage across HCM; Oracle alone has delivered more...

For decades, organizations have treated sales incentive compensation as a separate entity, isolated from the broader total rewards strategy. This isolation stems from historical operations, where sales compensation is designed and managed within Sales, with periodic budget oversight from Finance, while HR focuses on base pay, benefits and equity. Unfortunately, this siloed approach, further...

Turnover rates have taken center stage in workforce discussions, often being the first metric leaders request when assessing the state of the workforce. Yet, in isolation, turnover is one of the least understood indicators we have. Relying solely on turnover is like driving a vehicle using only your side and rearview mirrors; you’re reacting to what has already happened, without a clear view of...

HR software for HCM is supposed to be the great enabler of a better employee experience. It promises to streamline processes, create seamless engagement and elevate the workplace into something dynamic, personalized and intuitive. Yet, for many organizations, the reality is far from the promise. Instead of making work better, HR software often becomes a tangled web of disconnected tools,...

Workforce planning has long been a cornerstone of business strategy, yet many enterprises still approach it with outdated methods. Traditionally, it has been rigid, reactive, subjective and often siloed. But as industries evolve—especially those with high turnover and a large frontline workforce, like retail, healthcare and hospitality—companies must rethink how they forecast talent needs....

Attending isolved’s first Analyst Summit was more than just an opportunity to hear about their latest innovations—it was a front-row seat to their vision for the future of HR technology and services. A central theme emerged quickly—they are deeply committed to supporting small and mid-sized businesses (SMBs), not just with technology but also with robust services and an ecosystem of partners that...

If you’ve ever held the same job title at two different companies, you know firsthand how misleading job-based approaches to work can be. I’ve had the same title across different organizations, and the roles couldn’t have been more different. The responsibilities, expectations and even the skills required varied so significantly that it made me question why we continue to define work through the...

If you’re an HR professional, the term “API” might make you want to hand things off to IT and move on with your day. After all, you’re here to focus on people, not tech jargon, right? But here’s the thing—APIs play a major role in making sure your HR technology works for you. And no, you don’t need to be an engineer to understand why they matter.

Technology should be viewed as an enabler of program success for diversity, equity, inclusion and belonging, providing extended support that enables teams to expand their reach and ability to execute more complex business processes. AI-powered recruiting platforms, for example, help remove bias from the hiring process by analyzing job descriptions and identifying language that may unintentionally...