Gloat
Gloat deploys pre-built agentic HR agents that complete HR workflows on your existing Workday, SAP SuccessFactors, or Oracle HCM system.
Gloat earns consideration when you already run Workday, SuccessFactors, or Oracle HCM and you are tired of assistants that only answer questions. Loomra plus the Governance Engine are the reasons to look: pre-built agents, a knowledge graph connecting people, skills, and roles, and approval chains that make every action explainable, auditable, and reversible. Agents landing inside Teams, Slack, Zoom, and Copilot matters more than most vendors admit. But if your actual problem is ticket deflection, a lighter HR helpdesk tool will be cheaper and live sooner. And size up the configuration load — the governance layer only works once your skill taxonomies and policy rules are encoded.
Verified 1d ago · liveness 72/100 · cite: rightaichoice.com/tools/gloat
- Large enterprises running Workday, SuccessFactors, or Oracle HCM that want an agentic layer, not a replacement
- HR operations teams buried in tickets and multi-step processes like onboarding and comp cycles
- Talent and workforce planning teams building succession slates and skill-gap forecasts without manual analysis
- Organizations that need governed, auditable agents with approval chains and reversible actions
- SMBs and startups with no enterprise HCM system of record to build on
- Teams whose only problem is answering policy FAQs — a lighter helpdesk tool is cheaper and live sooner
- Buyers expecting AI-generated learning content or training course creation
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Skip Gloat if you don't already run Workday, SAP SuccessFactors, or Oracle HCM as your system of record — the agents act on that data, and without it you're buying configuration work with nothing underneath.
Agents write to employee records, so you need HR and IT staff time to encode skill taxonomies, policy rules, and approval chains before anything goes live.
Gloat sells to large enterprises and quotes through sales rather than publishing list tiers, so the comparison is against other enterprise HR platform contracts, not per-seat SaaS. It sits above lighter HR helpdesk tools on price and below a full custom agent build on Workday once you count internal engineering time. If your organization is under a few hundred employees without a Workday, SuccessFactors, or Oracle HCM footprint, the cost structure rarely makes sense.
In short
Gloat — Gloat deploys pre-built agentic HR agents that complete HR workflows on your existing Workday, SAP SuccessFactors, or Oracle HCM system. Best for Large enterprises running Workday, SuccessFactors, or Oracle HCM that want an agentic layer, not a replacement, HR operations teams buried in tickets and multi-step processes like onboarding and comp cycles, Talent and workforce planning teams building succession slates and skill-gap forecasts without manual analysis. Contact Sales pricing.
No head-to-head comparison for Gloat yet — the alternatives below are the closest matches we list.
What's new in Gloat
Checked 4 days agoAcross the latest 5 updates: 5 news mentions.
You Can Build the HR Agent. The Hard Part Is Knowing When It's Wrong
Gloat argues HR is the worst place to test build-vs-buy agent logic, since nothing in the system flags when an HR agent gets something wrong.
Same Chat Screen, Different Machine: How to Tell an Agent From an Assistant
Gloat draws the line between agentic AI and a well-dressed chatbot, warning buyers that missing the distinction is costly.
Hours Saved Is Not a Result: How to Measure the ROI of HR AI Agents
Gloat proposes four measures linking HR agent hours saved to money, citing 80% self-reported productivity gains against 37% EBIT attribution.
The Redeployment Gap: 77% of HR Leaders Offer Programs Only 19% of Employees Have Seen
Gloat flags a redeployment gap: 77% of HR leaders report offering redeployment programs, but only 19% of employees have seen one.
Agentic AI in HR: Redesigning the Talent Lifecycle with Autonomous Intelligence
Gloat defines AI agents and the role they should play in HR strategy across the talent lifecycle.
What people actually say about Gloat — is it worth it?
We scanned public community sources for Gloat on Aug 29, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Gloat? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Transactional HR agents answering PTO balances, W-4 updates, and policy questions in seconds
- Workflow agents running Q3 reviews, onboarding, and comp adjustments end-to-end
- Strategic agents for succession planning, 2027 capacity modeling, and EMEA skill-gap flags
- Voice agent for hands-free HR questions
- Orchestration layer reporting agent run status and escalating disputes for human judgment
- Loomra predictive knowledge graph connecting people, skills, roles, and relationships
- Retrieval and embedding models trained on workforce semantics, not web text
- Personalization engine with cross-agent and cross-session memory
- Governance Engine encoding policies, workflows, and approval chains as agent-executable rules
- Explainable, auditable, and reversible agent actions
- No-code builder for custom HR stages, rules, and data
- Pre-built agent library deployable on your existing HCM
- Matching Engine, Skills Clustering, and Career Trajectories Model
- Skill demand forecasting with internal supply gap modeling
- Workforce health dashboards for readiness, skill gap, and flight risk
About Gloat
Gloat is an agentic HR platform that runs pre-built AI workforce agents on top of the HCM system you already own — Workday, SAP SuccessFactors, or Oracle HCM Cloud. It is built for large enterprises that have already tried an FAQ chatbot and now want agents that finish HR work rather than describe it. Agents come in three types: transactional agents answer PTO balance, W-4 update, and policy questions in seconds; workflow agents carry multi-step processes such as Q3 reviews, onboarding, and comp adjustments end-to-end and report run status back, escalating calibration disputes for a human call; strategic agents build succession slates, model 2027 workforce capacity, and flag EMEA skill gaps a quarter early. Underneath sits Loomra, Gloat's workforce context engine — a predictive knowledge graph of people, skills, roles, and relationships, retrieval and embedding models trained on workforce semantics rather than web text, a personalization engine with cross-agent and cross-session memory, and Intelligent Tools including a Matching Engine, Skills Clustering, Career Trajectories Model, Inference, Semantic Workforce Embeddings, and Market Intelligence. A Governance Engine (Business Logic Engine) encodes your policies, workflows, and approval chains into agent-executable rules, and every action is explainable, auditable, and reversible. Agents surface in Microsoft Teams, Microsoft Copilot, Slack, Zoom, email, and mobile rather than a new portal, and a no-code builder lets HR wire up its own stages, rules, and data. On the Workday, SAP, and Oracle comparison pages Gloat pitches itself as the intelligence layer above your HCM, not a replacement. Gloat's own 2026 research pushes a harder buyer question: how you would even know an HR agent got something wrong.
Behind the Verdict
The interesting thing about Gloat is not that it does HR chat. It is that the company has architected around governed action rather than question answering, and the pieces it names are specific: Loomra, a predictive knowledge graph storing people, skills, roles, and relationships as connected entities; retrieval and embedding models trained on workforce semantics rather than web text; a personalization engine with cross-agent, cross-session memory; and Intelligent Tools — Matching Engine, Skills Clustering, Career Trajectories Model, Inference, Semantic Workforce Embeddings, Market Intelligence. Above those sits the Governance Engine, which turns your policies and approval chains into agent-executable rules, and a no-code builder for HR teams to wire their own stages, rules, and data. Strengths. The agent taxonomy maps to how HR work actually arrives: transactional questions (PTO, W-4, policy), workflow runs (Q3 reviews, onboarding, comp adjustments), and strategic planning (succession slates, 2027 capacity, EMEA skill gaps). The orchestration demo is the honest part — 177 of 180 on track with 3 calibration disputes escalated for a human call is what a real review cycle looks like. Delivery inside Teams, Copilot, Slack, Zoom, and mobile avoids the portal-login problem that kills adoption. And Gloat's public position that HR is a bad place to test build-vs-buy agent logic, because nothing in the system flags when an HR agent is wrong, is a fair challenge to buyers evaluating DIY builds on Workday. Weaknesses. Most of the value is contingent on deep integration with Workday, SAP SuccessFactors, or Oracle HCM, and that is where implementation cost and time sit. The governance layer is inert until your skill taxonomy, policy rules, and approval chains are encoded — rollout requires HR and IT to do that work before agents touch employee records. Gloat's own framing of the problem (only about 5% of companies achieve AI value at scale) applies to its own deployment too. And if the pain is purely FAQ deflection, this is a heavier machine than the job needs. Where it fits. Large enterprises with a real system of record, an HR operations team buried in multi-step processes, and a talent or workforce planning group that wants succession slates and skill-gap forecasts without manual analysis. Where it does not: SMBs with no enterprise HCM to build on, teams that want AI-generated learning content, and organizations unwilling to staff ongoing governance and configuration.
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Real-world workflow fit
Concrete scenarios for the personas Gloat actually fits — and what changes day-one when you adopt it.
Deploy a transactional agent in Teams to deflect PTO balance, W-4 update, and policy questions, then add a workflow agent for Q3 reviews with calibration disputes routed to HRBPs.
Outcome: HR ticket volume drops while the review cycle runs across all stages, and the 3 disputed calibrations land with a human instead of stalling the run.
Use strategic agents against the Loomra knowledge graph to forecast ML Engineering skill demand and compare it to internal supply quarter by quarter.
Outcome: A +240% demand forecast and an internal supply gap view, surfaced before the hiring cycle starts rather than after.
Run succession slates through the Matching Engine and Career Trajectories Model, showing readiness percentages and risk flags per role.
Outcome: Named successors with readiness scores and risk levels for each critical role, plus a flagged gap where no internal successor exists.
Use Cases
- Match displaced employees to open roles based on skills during a restructuring
- Run Q3 performance reviews across an org end-to-end, including calibration disputes
- Surface personalized career development paths and learning opportunities for each employee
- Identify flight-risk employees and trigger retention workflows automatically
- Discover best-fit internal candidates and silver medalists for open positions
- Model the impact of AI on your workforce and build proactive transition plans
- Build succession slates with readiness percentages and risk flags per role
- Deduplicate and tag a multi-platform learning library such as Workday Learning, Degreed, and Coursera
Models Under the Hood
as of 2026-10-16
Limitations
- Gloat's platform is designed to run on your existing HCM system, with dedicated integrations listed for Workday, SAP SuccessFactors, and Oracle Cloud HCM, so the depth of its value is tied to those underlying systems.
- Deployable surfaces include Microsoft Teams and Microsoft Copilot, with no-code building for custom HR stages and rules.
- The evidence also points to the broader measurement challenge the company itself raises: organizations must determine when an HR agent is wrong and how to attribute agent hours saved to real financial results, and Gloat cites 77% of HR leaders offering redeployment programs against only 19% of employees having seen one.
- Beyond that, the live pages do not enumerate specific underlying AI models or an explicit public API for external developers.
as of 2026-10-09
Verification history
We have re-verified Gloat 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
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- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Gloat tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Enterprise
Contact sales
Ideal for
Large enterprises running Workday, SAP SuccessFactors, or Oracle HCM with an HR operations team and a workforce planning function ready to configure agents.
What this tier adds
Starting tier — pre-built transactional, workflow, and strategic agents on Loomra, with the Governance Engine, no-code builder, and delivery in Teams, Slack, Zoom, Copilot, email, and mobile.
Where the pricing makes sense
The company stage and team size where Gloat's pricing actually pencils out — and where peers do it cheaper.
Gloat sells to large enterprises and quotes through sales rather than publishing list tiers, so the comparison is against other enterprise HR platform contracts, not per-seat SaaS. It sits above lighter HR helpdesk tools on price and below a full custom agent build on Workday once you count internal engineering time. If your organization is under a few hundred employees without a Workday, SuccessFactors, or Oracle HCM footprint, the cost structure rarely makes sense.
Setup time & first value
How long it actually takes to get something useful out of Gloat — broken out by persona, not the marketing-page minute.
Pre-built agents are pitched as live on your HCM in weeks, not quarters, but that clock starts after the prerequisites. HR and IT first need to encode skill taxonomies, policies, and approval chains into the Governance Engine, and the calendar time depends on how messy your Workday, SuccessFactors, or Oracle HCM data is. Expect first value from a transactional agent well before a governance-heavy
Switching to or from Gloat
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual HR shared-service inbox: deploy a transactional agent in Teams or Slack to deflect PTO, W-4, and policy questions while the service desk keeps the complex cases.
- →From a FAQ chatbot: keep the same chat surface but swap the assistant for agents wired to your policies, approval chains, and HCM data.
- →From Workday-native agent development: move to Gloat's pre-built library and no-code builder instead of building each agent internally.
- →From spreadsheet succession planning: load roles and readiness into the knowledge graph so succession slates and risk flags generate continuously.
- →From annual workforce planning cycles: switch to strategic agents forecasting skill demand and internal supply quarter over quarter.
- ↗To a lighter HR helpdesk tool: if the mandate is only FAQ deflection, a helpdesk product covers most of it at lower cost.
- ↗To building agents natively on Workday or SuccessFactors: possible, but you own the orchestration, governance, and accuracy monitoring yourself.
- ↗To a general-purpose agent framework: you would rebuild the workforce knowledge graph and HR-specific retrieval models from scratch.
- ↗To an HCM vendor's own AI features: viable if your needs stay inside a single HCM's data model and don't span multiple systems.
Integrations
Resources & Guides
Tutorials & Learning
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Official links
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