About
Gloat is an agentic HR platform built for the era of AI-driven workforce management. Unlike traditional HCM systems that simply record human decisions, Gloat's AI agents continuously monitor workforce signals, reason toward goals, and autonomously act — all within your existing enterprise infrastructure. At its core is Loomra™, a purpose-built AI architecture that powers a living Knowledge Graph connecting people, skills, roles, and relationships across the organization. Gloat's 14 purpose-built intelligent tools cover every major workforce challenge: Workforce Redeployment matches displaced talent to open roles using skills, potential, and fit; Career Coach delivers personalized employee growth guidance; Workforce Redesign helps organizations identify roles to augment or eliminate as AI transforms work; AI Impact Analysis models how AI will affect roles and tasks over time; and Candidate Discovery surfaces best-fit candidates using deep semantic skill matching across internal and external talent pools. The platform integrates seamlessly with Workday, SAP SuccessFactors, Oracle HCM, Microsoft Teams, Slack, and Microsoft Copilot — meeting employees and HR teams in the tools they already use without requiring new portals or logins. A built-in Governance Engine ensures every AI action is governed by your organization's policies, approval chains, and rules, making all actions explainable, auditable, and reversible. Gloat is purpose-built for large enterprises looking to drive intelligent, autonomous workforce decisions at scale.
Key Features
- Loomra™ Workforce Context Engine: A proprietary AI architecture powering a living Knowledge Graph that connects people, roles, skills, and relationships across the entire organization for deep contextual workforce intelligence.
- Agentic Career Coach: Delivers personalized, AI-driven career guidance to every employee — surfacing growth opportunities, recommending skill-building paths, and charting individualized career trajectories.
- Workforce Redesign & AI Impact Analysis: Identifies roles to augment or eliminate as AI evolves, models how AI will affect tasks and headcount over time, and generates proactive workforce transition plans.
- Talent Matching & Candidate Discovery: Uses deep semantic skill matching to surface best-fit internal candidates, past applicants, and silver medalists for open roles, reducing dependence on external hiring.
- Governance Engine: Enforces your organization's policies, approval chains, and business rules on every AI agent action, ensuring all decisions are explainable, auditable, and reversible.
Use Cases
- Matching displaced employees to open internal roles during organizational restructuring using AI-driven skills and fit analysis.
- Delivering personalized career coaching and growth path recommendations to employees at scale without manual HR intervention.
- Identifying roles and tasks that will be impacted by AI adoption and building proactive workforce transition and reskilling plans.
- Discovering best-fit internal candidates, past applicants, and silver medalists for open roles using deep semantic skill matching.
- Continuously monitoring workforce health signals — such as flight risk, skill emergence, and readiness gaps — and triggering autonomous agent actions to address them.
Pros
- Deep HCM Integrations: Natively integrates with Workday, SAP SuccessFactors, and Oracle HCM, reading and writing to existing systems of record without disrupting current workflows.
- Meets Employees Where They Are: Delivers AI-driven workforce intelligence through Microsoft Teams, Slack, and Microsoft Copilot — eliminating the need for employees or HR to log into a separate portal.
- Goal-Directed, Not Rules-Based: Agents reason toward business outcomes like 'reduce attrition' rather than executing rigid if-then rules, enabling more intelligent and adaptive workforce decisions.
- Enterprise-Grade Governance: Every agent action is governed, auditable, and reversible, giving enterprises the control and compliance they require when deploying autonomous AI at scale.
Cons
- Enterprise-Only Focus: Gloat is purpose-built for large enterprises and is not suitable for small or mid-sized businesses without complex HCM infrastructure.
- Non-Transparent Pricing: Pricing is not publicly available and requires a demo request, making it difficult to evaluate cost without engaging the sales team.
- Complex Implementation: Full value requires deep integration with existing HCM systems (Workday, SAP, Oracle), which can involve significant implementation effort and IT involvement.
Frequently Asked Questions
Agentic HR refers to the use of autonomous AI agents that continuously monitor workforce signals, make goal-directed decisions, and take actions — such as messaging employees, scheduling conversations, or updating succession slates — without requiring manual human triggers for every step.
Gloat integrates natively with Workday, SAP SuccessFactors, and Oracle HCM as systems of record, and delivers intelligence through Microsoft Teams, Microsoft Copilot, Slack, and email.
Loomra™ is Gloat's proprietary Workforce Context Engine — a purpose-built AI architecture that powers the platform's Knowledge Graph, semantic search, and retrieval and embedding capabilities to enable accurate, context-aware workforce decisions.
Gloat's Governance Engine enforces your organization's specific policies, approval chains, and business rules on every AI agent action. All actions are explainable, auditable, and reversible, ensuring enterprises maintain full control over autonomous AI decisions.
Yes. Gloat's Workforce Redeployment capability matches displaced talent to open internal roles based on skills, potential, and fit — turning restructuring events into redeployment opportunities rather than purely reduction events.
