Legacy platforms added a chatbot. QaliberLMS was architected so the AI, the compliance record, and the delivery engine are the same system. Here's what that difference buys you.
Q scans official licensing-board sites, returns structured requirements in 10–20 seconds, refreshes weekly, and applies rule changes to every matching person platform-wide in one operation. Elsewhere: you type CE rules into config screens and keep them current yourself.
Development plans generated from O*NET occupational data and regulatory standards, matched to your library, scheduled in plain English, and materialized automatically for every new hire on day one.
Confirmed % separated from review backlog, provenance-gated evidence, cohort anomaly detection, binary auditor-grade status. Most dashboards report one inflated green number.
Workers photograph external certs; Q validates, extracts, matches to open requirements, and auto-approves the low-risk. Elsewhere: a file-upload field and a manual queue.
Priority queues, daily caps, quiet hours, send-time optimization, campaign saturation dials — and a stored "why this item" audit on every single delivery.
Build with Q produces finished interactive courses; QVideo produces narrated, captioned vertical micro-videos in six languages. Both land as reviewable drafts — never auto-published.
Fourteen item types across every role, with the actual document, submission, or license rendering inside the row. No module-hopping to clear your queue.
Cancelling a session automatically opens re-pick tasks routed to whoever enrolled each person — with live seat counts and inline re-seating.
Hash-chained compliance events with live integrity verification, per-field audit logs including impersonation context, acknowledgments with version and IP, CAPA with root cause.
Company researched at signup, job titles resolved in context, all content and people auto-tagged with a converging vocabulary. You keep org data accurate; the intelligence layer follows.
Learning earns points and spendable digital currency, and managers reward and recognize great work through the same rails — no separate recognition tool, no second login, one budget and one record.
Instructors drive content to every student device in real time — pre-tests with instant feedback, mid-class assignments, reading pushes, graded screen recordings, polls, and moderated Q&A — all saved to the session record.
Category-level positioning against patterns common across legacy platforms — bring your current vendor's spec sheet to the demo and we'll walk it line by line.
| Capability | Typical LMS | QaliberLMS |
|---|---|---|
| Course authoring | Template editors; outlines from AI at best; separate video tooling | Build with Q: finished interactive courses from one prompt; QVideo for narrated micro-videos; SCORM 1.2/2004 both ways |
| Worker questions | Search box over titles; FAQ pages; "ask your supervisor" | Ask Q: cited answers from your own approved content, voice or text, on every screen |
| Compliance status | Completion percentages by course | Requirement engine with legal citations, binary auditor-grade status, and honest confirmed-vs-backlog numbers |
| Regulatory upkeep | Manual configuration, kept current by your team | Q-maintained Regulatory Library scanned from official board sites, refreshed weekly |
| Gap response | A report someone should probably look at | Auto-opened corrective actions with owners, escalation timelines, and audited closure |
| Audit evidence | Export a CSV, assemble the story yourself | One-click audit package; hash-chained, append-only event log with live integrity verification |
| New-hire training setup | Admins assign catalogs to groups by hand | AI Learning Profiles per job title; full development plan materialized automatically on day one |
| Microlearning | Short videos in the same old catalog | A delivery engine with priorities, caps, decay, campaigns, and per-delivery reasoning you can audit |
| Forms & inspections | Third-party form tool, manually reviewed | Built-in forms with event triggers and Q Review reading every submission in seconds |
| Multi-entity structure | Separate instances or a costly multi-org add-on | Native parent/child domains with verified tenant isolation and opt-in roll-up |
Row-level security on 100% of application tables; cross-tenant access denied at the database level; hundreds of functions re-verify tenant on every call. AI retrieval is tenant-scoped too — your content never answers someone else's question.
SAML 2.0 and OIDC SSO (Microsoft Entra ID, Google Workspace), per-tenant MFA enforcement, SCIM 2.0 provisioning from Workday, Entra, Okta, or Rippling, and role-based access with customer-defined roles.
The audit trail is hash-chained and append-only — UPDATE and DELETE are rejected by the database itself, even for privileged service roles. Full CSV export for your auditors or SIEM.
TLS in transit, AES-256 at rest, content served via short-lived signed URLs with no public buckets, and integration credentials held in an encrypted vault — the UI shows only a masked hint.
99.9% monthly uptime target with zero-downtime deploys. Automated daily backups plus point-in-time recovery: RTO ≤ 4 hours, RPO ≤ 5 minutes. A written BC/DR plan with scheduled restore drills.
Built on SOC 2-certified infrastructure with our own SOC 2 audit scheduled. GDPR right-to-be-forgotten and data portability. No customer data used to train third-party models. A published disclosure policy with a 24–48h critical-patch target — and a real human at security@qaliberlms.com.
Microsoft Entra ID, Google Workspace, SAML 2.0, OIDC; force-SSO mode; SCIM 2.0 provisioning.
CSV/SFTP feeds plus vendor pulls — BambooHR, UKG, Workday, ADP, Paychex, Paylocity, Gusto, Namely, SAP, Dynamics.
One-click Microsoft Teams and Zoom for virtual sessions, with self-verifying test connections.
SCORM 1.2/2004 import and round-trip-verified export; read-only OData datasets for Power BI and Tableau.
Bring the renewal quote, the feature list, and your three biggest frustrations. We'll show you — live — what a platform built this decade looks like.
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