In October 2024, Workday — the HR and finance platform used by more than 60% of the Fortune 500 — closed its acquisition of a company called Evisort. According to Workday’s own financial filings, the deal was worth $311 million, paid entirely in cash.
Evisort wasn’t a household name. It was an AI-native document intelligence platform, founded in 2016, that used machine learning to extract meaning from contracts and unstructured business documents. By most estimates it was running at around $30 million in revenue, growing but unprofitable, having raised over $150 million across its life.
So why would the largest player in HR and finance software pay $311 million in cash for it? The answer explains where HR technology is heading — and it’s a signal every HRMS platform should be reading closely.
Platforms buy AI capability. They don’t build it.
Workday didn’t buy Evisort for its revenue. It bought a capability. As Workday explained, more than 80% of business data — contracts, invoices, policy documents — is unstructured and hard to search or act on. Evisort’s AI could unlock that data across Workday’s HR and finance suite. Rather than spend years building that capability internally, Workday bought it, folded in the team, and moved on.
And Evisort wasn’t a one-off:
| Acquisition | What it added | Reported price |
|---|---|---|
| Evisort (Oct 2024) | AI document intelligence across HR & finance | $311M cash |
| HiredScore | AI-powered talent orchestration | ~$530M |
| Combined | Two AI capabilities bolted onto the platform | $800M+ in a single stretch |
This is the pattern. When a new, valuable AI capability emerges adjacent to a platform’s core, the platform’s fastest, safest path is to acquire or partner for it — not to reinvent it internally while a competitor races ahead.
Why this matters for every HRMS platform right now
Here’s the uncomfortable question every HRMS and HCM platform is now being asked by its enterprise customers:
What are you doing about AI readiness? We’ve deployed AI tools across our workforce. How do we know if our people can actually use them?
It’s the natural next question in a world where 95% of enterprise AI investments show no measurable return, and where boards are demanding proof that AI spend is paying off. Every CHRO is asking it. And today, almost no HRMS platform has a product answer.
The Workday–Evisort playbook tells us how this resolves. The platforms that win won’t spend two years building an AI readiness capability from the ground up while their customers wait. They’ll partner for it — embedding a proven, white-label capability under their own brand, fast.
The build-versus-buy math hasn’t changed
The logic that drove Workday to pay $311 million in cash is the same logic every HRMS platform faces on AI readiness:
| Path | What it costs you | Verdict |
|---|---|---|
| Build it yourself | A multi-year project. Your customers are asking now, and the window to own the category closes while you’re still in development. | Too slow |
| Build it yourself | Specialised risk — scoring, gap analysis, personalised planning, adoption tracking. Getting it wrong in front of enterprise customers is costly. | Too risky |
| Partner & white-label | A proven readiness layer under your brand, live in about four weeks. | Answer today |
Workday could afford to spend $311 million in cash to skip the build. Most HRMS platforms can’t — which makes the white-label partnership route even more compelling for them, not less.
Where Forsight fits
Forsight is built to be exactly that layer. It’s an AI workforce readiness platform — scoring every employee’s readiness, identifying their gaps, and generating personalised 90-day growth plans — designed from the ground up to be deployed white-label under an HRMS platform’s own brand, in about four weeks.
For an HRMS platform, it turns the hardest question your customers are asking into your strongest new answer: “Yes — we measure AI readiness across your workforce, and we give every employee a plan to close the gap.”
Workday showed the industry that platforms buy adjacent AI capability rather than build it. The only open question is whether the rest read that signal in time to own the category — or watch a competitor answer the CHRO’s question first. Employees Amplified.
Forsight is an AI workforce readiness platform from EpicureAI Labs, built for white-label deployment through HRMS platforms, L&D providers, and staffing firms. To explore a partnership, get in touch. Sources: Workday, Inc. Form 10-Q (FY2024), SEC filings; Workday newsroom; MGI Research; MIT Project NANDA.