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Lana Peters

‘Putting Perfume on a Pig’: The Truth About AI in Performance Management

I've been covering this market for 20 years. I've watched every wave roll through: cloud HR, engagement platforms, continuous feedback tools. Each one came with a version of the same pitch: this is the thing that finally fixes performance management.
None of them really did.

So when every booth at Transform 2026 had AI in the headline, I'll admit I was skeptical. And then I sat down with Lana Peters, chief revenue and customer experience officer at Klaar, and she said something in the first 60 seconds that cut through all of it.

"There's a real difference between AI being layered onto an old system — I think in the Midwest, and we're both Midwesterners, we call it putting perfume on a pig — or an AI built into a foundation. That's a very different system and it fundamentally operates differently."

That's the question worth asking right now. Not whether your vendor has AI. They all do. Whether it's structural or cosmetic.

Lana has been in and around this market for 25 years. She's watched every wave from the inside. The conversation we had live at Transform is the most useful thing I've heard on this topic in a while.

"Putting Perfume on a Pig": The Truth About AI in Performance Management
  16 min
"Putting Perfume on a Pig": The Truth About AI in Performance Management
Work Tech Weekly
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Not All AI in Performance Management Is the Same

Performance management has been broken for a long time. Not for lack of trying: cloud HR, engagement tools, continuous feedback platforms. Every wave promised to fix it. What they mostly delivered was a cleaner interface for the same backward-looking process.

The question worth asking of any vendor right now is whether the AI in their system changes how decisions get made, or just makes the old decisions easier to document. Lana's answer comes from watching this market cycle through its promises for 25 years.

"We're no longer just organizing or analyzing data," she says. "We're actually influencing outcomes as they're happening. And that's a much bigger shift than anything I've ever seen."

I believe her. And I think most HR buyers still don't have a clean way to test that claim when they're evaluating vendors. That's the gap this conversation helped me think through.

Predictive Means Action, Not Just Insight

One of the most useful things Lana draws out is the difference between AI and predictive, two terms that get conflated constantly. "AI can be part of predictive, but they're not one in the same." Predictive is about the outcome. AI is one of the tools that gets you there.

In practice it shows up in specific moments. A manager gets a signal before a one-on-one that a goal is off track. HR sees early signs of team misalignment before it becomes a retention problem. A leader gains visibility into performance risk before it becomes a real issue.

"Instead of asking what happened last quarter, you're asking what's likely to happen next and what should we do about it. And the key difference is it's not just about insight, it's about action."

A better dashboard is still just a dashboard. What separates predictive performance management from the previous generation of tools is that it closes the loop from signal to response in the moment, not weeks later in a review cycle.

Managers Are the Linchpin — and "More With Less" Is the Wrong Frame

This was the theme I kept hearing all week at Transform. Every session, every hallway conversation circled back to managers. And not in a flattering way.

The industry has been talking seriously about manager effectiveness for at least a decade. But managers keep getting more beleaguered, not less. More direct reports. More responsibilities. And now AI on top of it.

Lana pushes back hard on the way most organizations are framing this. "I don't think it's doing more with less. I think it's doing more smarter."

The organizations getting this right aren't handing managers another system to manage. They're giving them intelligence they didn't have before: early signals, coaching nudges, visibility into risk before it blows up. You couldn't do that with a spreadsheet and a quarterly review cycle.

The failure mode she sees has nothing to do with the technology. "Where I see conflict is when they ask them to do more with less and they don't give them the tools, and that's when that doesn't work."

That's a leadership problem, not a software problem. I've seen it play out with every previous wave of HR tech too. The tools that stick are the ones that actually make the manager's job easier. The ones that don't are the ones that add another layer without removing anything.

The entire infrastructure of performance management was built to look backward. Reviews, ratings, annual cycles: all designed to evaluate, not to act. What Lana is describing is a system built around a different premise: get ahead of the problem, respond when it's still small, and treat performance as something you shape continuously rather than score at the end of the year.

The test I'd apply to any vendor making that claim right now: is the AI changing how decisions get made, or is it just new packaging on an old process? After 25 years in this market, Lana can tell the difference. After this conversation, I think you can too.

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