Powered by Loomra, the proprietary Workforce Context Engine built on nine years of enterprise AI research, Gloat delivers context-aware agents that operate where people already work
Gloat launched the Agentic HR Platform , a new category of workforce technology built on a simple premise: agents are only as intelligent as the context they carry. Gloat’s agents carry nine years of enterprise-specific workforce context. They mobilize talent across the organization the moment a business priority shifts. They detect retention risk and intervene before anyone asks. They match talent to opportunities across the organization in real time – all inside the tools people already use, not in another HR application.
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“Gloat is embarking on a category-creating mission. Rather than build agents on top of existing systems and data structures, Gloat has built a context layer which in turn talks to the typical workflows of HCM.” – Josh Bersin
The End of HR as a Reactive Function
Every major enterprise software category is now adding AI agents. But in HR, most of what is being built is automation dressed up as intelligence: agents that navigate portals, answer employee questions, and trigger transactions. These things reduce operational friction. They do not move the workforce.
The deeper problem is structural. Most HR technology was designed to manage processes and store records. It was never built to continuously evolve the workforce alongside a changing business. The result is an HR function that is perpetually reactive: plans live in slides, talent moves slowly, and by the time HR responds to a business need, the moment has already passed. AI is now making that gap untenable – roles evolve faster than job descriptions track, capabilities become obsolete within a quarter, and the pace of change the business requires has outrun the tools HR has to meet it.
Gloat is defining a different category. The job of Agentic HR technology is not to manage HR processes. It is to continuously move the workforce to meet where the business needs to go – not as a one-time initiative, but as a permanently operating capability. This should not be a program HR runs. It should be the way HR works.
“Everyone has agents now. Very few have context. An agent without context is just a chatbot that clicks buttons. What makes a workforce agent intelligent isn’t the model – it’s whether it understands your people, your policies, your org structure, your business logic, your approval chains. That’s what Loomra provides. Nine years of enterprise-specific workforce context that you cannot prompt-engineer into existence. That’s the difference between an agent that acts and an agent that knows what it’s doing.”
– Ben Reuveni, Co-Founder and CEO, Gloat
Why Context Changes Everything
The AI industry has focused on making agents more capable. The harder problem, the one the enterprise actually needs solved, is making agents contextual. A transactional agent can submit a time-off request. A workforce context-aware agent knows which employees are flight risks before anyone asks, understands what those employees value based on years of career behavior, identifies internal opportunities that match their trajectory, and initiates a personalized intervention in Teams – all within the policies of that specific organization. That’s not a smarter chatbot. That’s the gap between insight and action, closed automatically at scale.
The Gloat Agentic HR Platform
Loomra, The Workforce Context Engine: The foundation that makes Gloat Agentic HR’s agents genuinely intelligent. Loomra combines a workforce knowledge graph, semantic embeddings, skills inference and clustering models, career trajectory modeling, and enterprise-scale matching – enabling agents to move far beyond simple data retrieval and reason about complex workforce decisions across the entire organization in real time.
Agent Builder: The infrastructure for creating, configuring, and orchestrating agents. Organizations can deploy prebuilt agent templates for common workforce workflows, including Workforce Redeployment, Career Development, Internal Talent Sourcing, Succession Planning, and Learning & Reskilling, Alternatively they can build their own custom agents using a modular library of composable building blocks. Agent Studio’s no-code environment means HR teams can build and launch sophisticated agents without engineering resources.
Agents in the Flow of Work: Gloat Agentic HR agents operate where employees and leaders already work, inside Microsoft Copilot, Teams, Slack, Google Chat, and AI chatbots. Decisions and recommendations surface directly in daily workflows, without requiring anyone to navigate separate HR applications. The platform connects to Workday, SAP SuccessFactors, and Oracle without replacing them, sitting as a semantic reasoning layer above systems those platforms were never designed to provide.
Workflow Decomposition & Orchestration: Gloat Agentic HR can analyze and understand the full topology of HR workflows already running inside a customer’s HCM instance. This gives organizations an AI-generated picture of how their HR processes actually operate today, which workflows are redundant or friction-heavy, and where agents can step in to streamline or fully automate them.
“Gloat is embarking on a category-creating mission. Rather than build agents on top of existing systems and data structures, Gloat has built a context layer which in turn talks to the typical workflows of HCM. This infrastructure, along with Gloat’s tools to automate agent building into Teams, Slack, MS Copilot, and other existing products, could bring Agentic HR solutions to market with speed and flexibility we have not seen before.”
– Josh Bersin, Global HR Industry Analyst & Founder, The Josh Bersin Company
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