Cornerstone launches Workforce AI, eyes expansion

Cornerstone launched Workforce AI, a platform that combines skills, data and AI agents, in a move that unifies its architecture and aims to tie skills development to business outcomes.

During an analyst day ahead of Cornerstone Connect 2026 in New York, Cornerstone CEO Himanshu Palsule and the executive team walked through the company's pivot from being a learning management company to expanding its market by tying performance to real business outcomes. The secret sauce of Cornerstone's Workforce AI effort is its People Graph and how it infers skills from tasks, labor market data and signals from systems of work.

As a human resources management tool, Cornerstone has a data set that includes 140 million users, 5 million active users and 30 million learning hours. The plan now is for Cornerstone to combine that data with other information to read signals on employee development, skills and performance.

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Cornerstone also bucked a recent trend by launching a product that is generally available and adopted by 10 customers. After all, private previews have become a plague in enterprise software. Palsule also said the company's Workforce AI is designed to transform enterprise human capital and adapt in a rapidly changing environment.

Palsule also said that Cornerstone is betting that enterprise workforce transformation will be enabled by humans at the center leveraging AI. "We believe that putting the human in the middle, having the intelligence to know and the wisdom to act, is what's going to differentiate," said Palsule, noting that agentic AI isn't about automating humans away.

Cornerstone's own transformation

The stage was set for Cornerstone's new coming out party in 2025 where the company launched Cornerstone Galaxy and hired veterans from Amazon and other technology companies to drive development, AI and strategy.

Cornerstone launched Cornerstone Galaxy, a system of AI agents that provide conversational learning experiences and integrate a people skills graph. Galaxy represented a rewrite of Cornerstone and provided a migration path for its customer base, which used multiple products.

Workforce AI is the new unifying layer that adds components to Cornerstone Galaxy and serves as the AI layer. Overall, Workforce AI is the new flagship brand for Cornerstone and the company has put together multiple packages based on the maturity of the customer base.

The launch of Workforce AI is partly the result of a series of recent acquisitions, notably SkyHive, which powers Cornerstone's people and context layer.

Cornerstone also added new talent to its leadership in the back half of 2025. The company named Mini Peiris, former CMO at Nintex, Doma, Elementum and Ambra Health, as CMO. The company named Eric Lee, an alum of Smartsheet and VMware, as Senior Vice President of Services and Support.

The company also named Guna Jayaraman as its new Chief AI Officer and Himanshu Baxi as its new Chief Development Officer. Jayaraman was a long-time executive at Amazon and most was Vice President of Software Development for People Technologies at Amazon. Baxi has held senior roles at Amazon, Intuit and Microsoft.

Workforce AI: What you need to know

Cornerstone's Jayaraman outlined a series of AI agents that will run on Workforce AI including:

• Embark Navigator
• Dynamic Goals
• Future of Work
• Skills Architect
• Workforce Insights
• Workforce Value,
• Internal Mobility
• Proactive Coaching

These AI agents are designed to handle admin work, engage employees on an ongoing basis and close skill gaps. Jayaraman said human engagement is a big reason AI projects have gone flat. "I strongly believe the thing that's missing in AI is that we don't have humans in it. This is not automation. We always had automation. We've had transformation. To have transformation, you need to have humans embrace it, transform and evolve with it," said Jayaraman. "How am I going to learn? My job has changed, so learning is very important. Then matching into the talent, the opportunities that align with the business owners, that's critical too."

Key points about Workforce AI:

• Workforce AI can operate headless.
• The system can connect to other enterprise AI agents via Model Context Protocol.
• APIs will be available to connect to systems in a broader ecosystem.
• Workforce AI will be included in Cornerstone's Intelligence+ and Accelerate+ bundles. Cornerstone isn't charging based on consumption.
• Workforce AI will be supported by partnerships with Google Cloud, AWS, OpenAI, Deloitte and Salesforce.
• Cornerstone is leveraging forward deployed engineers in early Workforce AI deployments to bridge the last mile issues with AI and actual business outcomes.
• Customers don't have to replatform to adopt Workforce AI.
• The goal is to create personalized AI-driven learning journeys.
• AI assistants will summarize performance for reviews, surface development areas and propose talking points.

"What really differentiates us is that we take the 28 terabytes of data that SkyHive used to ingest data every day from the labor market. We look at your own signals, we use our own proprietary algorithms and allow you to take real action," said Palsule.

Based on architecture, the Cornerstone breakdown goes like this.

• Galaxy is the platform for learning, talent and performance.
• Workforce AI is an AI/intelligence/agent layer.
• Headless capabilities allow you to surface capabilities via Slack, Teams, Salesforce and where work happens.

Looming questions

Cornerstone is primarily seen as a traditional learning company, but has plenty of signals to pivot to bring CIOs and business line leaders into the buying equation. Cornerstone has traditionally sold its software to HR and learning execs.

"We would really like to be seen as a workforce intelligence company that can operate anywhere work gets done," said Palsule. "We're getting more and more business today from lines of business. The conversation we're having now is about changing the trajectory of your people."

The larger question is whether Cornerstone can get to its workforce intelligence vision in a more streamlined way without bulking up its FDE ranks. There's a good reason FDEs are required for early Workforce AI deployments: Enterprise maturity for AI-driven workforce performance management is all over the place.

Meanwhile, it's also unclear whether Cornerstone can price based on value over consumption. And then there's the biggest question of all: Can Cornerstone move beyond learning to be a layer for workforce intelligence before AI natives disrupt the market?

In the end, Cornerstone's Workforce AI launch represents a pivot that is worth watching going forward as it builds out its deployments.