In a market flooded with vague AI upskilling promises, Workera is offering what many enterprises actually need: verifiable, actionable data on workforce AI readiness.
The AI-powered skills intelligence platform—already used by major players like BCG, Eli Lilly, and Reliance Industries—announced a series of major updates, including a key hire, significant platform enhancements, and a milestone: over 100 million skills verified, many centered on AI.
This momentum, underpinned by nearly 100% year-over-year revenue growth, comes as 89% of executives now prioritize verified skills over degrees or tenure in hiring decisions. And with 88% of non-technical employees expected to need AI-related training in the next three years, Workera is staking its claim as the go-to platform for serious, scalable workforce development.
The Problem with AI Readiness? Measuring It
While AI transformation is on every boardroom agenda, most companies still struggle to quantify their workforce’s actual readiness. According to Workera’s recent State of Skills Intelligence Report, 69% of L&D leaders admit they can’t accurately measure AI skills—a blind spot that risks stalling digital transformation efforts before they begin.
Enter Sage, Workera’s AI mentor agent. Designed to go far beyond quizzes and course completions, Sage helps organizations create custom skill assessments based on real-world AI competencies and role-specific requirements. Think: adaptive testing, interactive simulations, and continuous tracking—not just self-reported confidence scores.
And now, Sage is getting even smarter.
New Sage Features: Personalization Meets Precision
The platform’s latest upgrade empowers enterprise leaders to build precision assessments for AI-assisted roles, while also offering employees personalized guidance via the new Sage Mentor. The result? Upskilling that’s targeted, measurable, and aligned with actual business goals.
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Sage Mentor: AI-powered coaching tool that adapts to individual knowledge gaps and provides learning paths tailored to specific AI roles.
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Sage Insights: Real-time analytics dashboard that tracks AI skill acquisition across teams, identifying bottlenecks and optimizing training investments.
Companies using Sage see a 50% faster ramp-up of AI skills compared to legacy methods—something that could be critical as businesses race to deploy generative AI tools company-wide.
Strategic Hire: Taylor Sullivan Joins as Head of Global Assessments
Workera is also bolstering its bench with the addition of Taylor Sullivan, former assessment expert at Codility and a specialist in high-stakes evaluation for government agencies. Sullivan brings technical rigor and psychometric expertise to Workera’s evaluation engine, a critical edge as demand grows for AI skills that can’t be gamed or guessed.
“Companies need to move beyond basic assessments and truly understand their workforce’s AI capabilities,” said Kian Katanforoosh, CEO of Workera. “We’re setting the new standard for skills intelligence—enabling organizations to build resilient, AI-ready teams.”
What Makes Workera Different?
In a sea of self-assessment platforms and content libraries, Workera stands out by focusing on verified skill intelligence. While others track clicks and completions, Workera tracks capability.
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Verified AI Skills: Goes beyond self-reported data to evaluate actual technical and non-technical skills.
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Business-Aligned Upskilling: Connects learning outcomes directly to company goals.
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Role-Specific Paths: Custom-tailored assessments for everyone from ML engineers to product managers.
It’s a blueprint for how AI training should look in the enterprise: measurable, personalized, and tied to performance.
Workera’s rise reflects a fundamental shift in how companies approach workforce development. Credentials are losing ground to competency. Blanket training is giving way to adaptive, role-based learning. And in the AI era, workforce intelligence is becoming as important as business intelligence.
As recognized by TIME, Fast Company, and the Josh Bersin Company, Workera is helping enterprises move from vague upskilling initiatives to data-driven talent strategy—one verified skill at a time.
“Organizations that connect verified AI skills data with their systems will make better workforce decisions and improve ROI on AI transformation,” said Gina Smith, PhD, Research Director at IDC. It’s a bet that Workera seems poised to win.
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