Agentic HR platform with AI workforce agents for enterprise HR automation.
By Tanmay Verma, Founder · Last verified 02 Jun 2026
In short
Gloat — Agentic HR platform with AI workforce agents for enterprise HR automation. Best for Large enterprises with existing Workday/SuccessFactors/Oracle HCM, HR teams wanting to reduce ticket volume with automated Q&A agents, Workforce planning teams needing real-time analytics and scenario modeling. Contact Sales pricing.
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Gloat is a promising enterprise agentic HR platform for organizations already using major HCMs like Workday or SuccessFactors and wanting to layer on AI-driven automation. Its pre-built agents and no-code builder speed deployment, but it's best suited for large enterprises with complex workforce data.
Compare with: Gloat vs Olas Network, Gloat vs OpenAgents, Gloat vs Morphik
Last verified: June 2026
Gloat stands out in the crowded HR tech space by focusing on agentic AI rather than simple chatbots. Its architecture, built around the Loomra™ engine and Knowledge Graph, enables it to understand workforce relationships and execute complex workflows autonomously. The platform's integration with Team/Microsoft Copilot and key HCMs makes it practical for enterprises. However, it relies heavily on existing HCM data quality, and small businesses may find it overkill. Compared to generic AI assistants like ChatGPT, Gloat offers governed, explainable actions tailored to HR policies. A key caveat: pricing is not public and likely expensive; enterprises should evaluate ROI against ticket deflection and workforce planning gains.
Skip Gloat if Skip Gloat if your organization does not use Workday, SAP SuccessFactors, or Oracle HCM as its core HR system, or if you are not prepared to invest in a sales-led enterprise deployment.
Across the latest 7 updates: 4 feature updates and 3 news mentions.
Overview of AI-driven shifts in jobs, skills, and workforce planning for 2026.
Gloat discusses the role of AI agents in HR strategy, emphasizing autonomous intelligence for talent management.
Analysis of productivity gains through human-AI collaboration, focusing on doing more with less.
Explains restructuring work into smaller units for agility, based on enterprise practices.
Describes how employees and AI can collaborate to achieve unprecedented results.
Explores using AI to close the gap between AI spending and talent ROI in talent management.
Compares skills taxonomies with intelligence tools for unified business decision-making.
How likely is Gloat to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Gloat is an AI-native agentic HR platform designed for enterprise workforce orchestration. It provides pre-built, enterprise-ready AI workforce agents that integrate with major HCM systems like Workday, SuccessFactors, and Oracle HCM, enabling HR teams to automate tasks from answering PTO queries to strategic workforce planning. The platform features a Knowledge Graph that connects people, jobs, and skills, a Governance Engine for business rules, and Retrieval & Embedding for semantic workforce search. Agents operate in the flow of work via Teams, Slack, Zoom, and mobile, and can be deployed from a library or built with a no-code builder. Gloat positions itself as a "system of action" complementing traditional HCM systems of record, focusing on continuous sensing, intelligent decision-making, and governed autonomous action.
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Concrete scenarios for the personas Gloat actually fits — and what changes day-one when you adopt it.
During a restructuring, the CHRO needs to redeploy 500 employees to open roles across business units.
Outcome: Workforce Redeployment agent matches displaced employees to open roles based on skills, potential, and fit, and automatically schedules conversations with hiring managers via Teams. The CHRO monitors progress through a dashboard.
The L&D manager wants to reduce duplicate learning content and map skill gaps to relevant assets.
Outcome: Learning Content Curator agent ingests catalogs from Workday Learning, Degreed, Coursera, and internal LMS, deduplicates 612 items, auto-tags 1,204 untagged assets, and routes stale content for retirement. Employees receive personalized learning recommendations.
Pricing is not publicly disclosed, requiring a sales demo. The platform's full value depends on deep integration with major HCM systems (Workday, SAP, Oracle), which may be costly and time-consuming. AI agents must be governed carefully to avoid unintended autonomous actions.
The company stage and team size where Gloat's pricing actually pencils out — and where peers do it cheaper.
Gloat’s contact-only pricing targets large enterprises with significant HR technology budgets. Compared to simpler talent marketplace tools like Eightfold AI’s Talent Mobility (which starts at a per-employee subscription), Gloat is likely more expensive due to its agentic capabilities and deep HCM integration requirements. It offers high value for complex workforce automation but is overkill for mid-market teams.
How long it actually takes to get something useful out of Gloat — broken out by persona, not the marketing-page minute.
Initial integration with HCM systems (Workday, SAP, Oracle) typically takes 4-8 weeks depending on data complexity. Configuring governance rules and training agents can add another 2-4 weeks. First agent deployment (e.g., Career Coach) can be live in 6-10 weeks with dedicated support.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Gloat, with the specific reason each pairing earns its keep.
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