The HCM market has a flavor-of-the-month problem. It had one with employee engagement. It had one with employee experience — what Opal Wagnac calls, without hesitation, “employee self-service 2.0.” Now it has one with AI. And most of the vendors claiming to be AI-native are, in her word, washing.
Opal is global head of market positioning and strategy at Darwinbox, an AI-native HCM platform that built its track record across some of the world’s most densely populated markets before making a serious push into North America. She spent 19 years at Ultimate Software, came up as an engineer and helped build what became UKG Pro. She brings technical depth and commercial instinct that makes her credible when she calls out the gap between what vendors say and what their platforms actually do.
I’ve been covering this market long enough to watch the cycle run a few times. Opal isn’t just diagnosing it. She’s got a framework for cutting through it and a very specific idea about what it takes for a global platform to win in the US.
Here’s how Opal frames it: “I can call myself a cat. But I can’t function like one, you know what I mean?”
The proof, she keeps returning to, is in the pudding. Not the deck. Not the Gartner graphic where a vendor sits in the leader quadrant while ranking far lower in the companion use case report. The actual things the platform does when you push on it. Use cases. References. Real deployments.
Darwinbox has been deployed across India, Southeast Asia and the GCC — markets so densely populated that they accumulate employee records at a pace US legacy vendors took 35 years to match. That kind of data density is what makes AI actually work. The UI gets all the attention. The back end is where the value compounds.
At Darwinbox she’s been pulling ideas out of a mental vault she’d been quietly filling for years — concepts she’d shelved because she figured no one would build them. “I can definitely say the things that I saw in Darwinbox made me pull things out the vault.”
I believe her. And I think the test she’s describing — skip the deck, go straight to the proof — is the one most enterprise buyers aren’t running.
Most evaluations are stuck in lift-and-shift mode. Replicate what you had, just in a newer system. But the technology has actually caught up to the ambition now, and buyers who approach this moment like a routine upgrade are leaving the most interesting question on the table.
“Your business model was hamstrung for decades because of your software solutions,” Opal says. “Now it’s your opportunity to rise to the occasion.”
She credits that line to her friend Chris Harvey. She heard it and knew immediately it was the thing she’d been trying to say to buyers. Going into an evaluation not to check boxes but to ask what the people function could actually do if the system was genuinely working for it.
The “just fine” jobs are the ones to watch. Not the overwhelmed employees, not the ones who are thriving. The ones who are neither. As Opal puts it: “Whatever’s not growing is dead.” That applies to people, and it applies to platforms.
Global platforms keep failing in the US, and it has nothing to do with product features.
“You need a soul,” Opal says.
She uses Apple as the comparison: they could announce refrigerators tomorrow, probably capture meaningful market share, and “I bet you they won’t even make ice.” What they have is a story — one people attach themselves to emotionally before they ever open the box. Enterprise software vendors entering the US from outside it tend to skip that step. They show up with a capabilities list and wonder why nobody cares.
Too many vendors want to be the destination app. The one employees open every morning, linger in, come back to. Opal’s read: that’s not your lot in life. “If you’re logged into your HCM all day,” she says, “that is actually a sign of a problem.” Know what your platform actually does well. Brief analysts on what they care about, not what you want to pitch. Stop reaching.
On her second day at Darwinbox, she sat in on a sales demo. The IT contingent was in the back of the room: arms folded, half checked out, waiting for the HR portion to end. Then the team demonstrated Darwinbox’s Super Agent. Most enterprise teams are running ChatGPT for this, Claude for that, Gemini for something else — spending half their time figuring out which tool handles what. The Super Agent cuts through that. It understands context across domains. Mid-performance review for a sales rep, need last quarter’s pipeline numbers: it pulls from Salesforce without a context switch.
The IT team’s arms came uncrossed.
Most buyers are walking into generational platform decisions thinking about migration. The smarter question is what the organization could actually look like if the system was built to give people agency instead of just moving HR’s administrative burden around. Employee self-service got that wrong. The next wave doesn’t have to.