How we help our customers
The problems we solve
Enterprise learning data usually breaks at the worst moments: migrations, audits, executive reporting, integrations, and AI pilots. These are the places Arcs Learning helps first.
LMS migration and consolidation
You need to move platforms, consolidate systems, or retire legacy LMSs without losing institutional memory.
Arcs Learning extracts, maps, normalizes, validates, and moves learning records so transcripts, completions, enrollments, mappings, and history survive the change.
Best for- Replacing an LMS without losing learner histories or transcripts
- Consolidating multiple learning platforms after a merger or acquisition
- Repairing incomplete, duplicated, or poorly mapped migration data
Historical data extraction and preservation
Legacy platforms contain records legal, compliance, reporting, and learners may still need.
We preserve historical learning data in a governed, queryable layer so systems can be retired without abandoning the evidence inside them.
Best for- Decommissioning a system whose records must remain accessible
- Retaining training evidence beyond a vendor's export window
- Making historical records searchable without the original platform
Cross-system learning data integration
Learning data is scattered across LMS, HRIS, BI, content, compliance, skills, and business systems.
Arcs Learning connects the stack into a normalized foundation that supports reporting, migration, workflow orchestration, and future AI use cases.
Best for- Combining LMS, HRIS, skills, and compliance data into unified reporting
- Keeping learner, role, and activity data synchronized across systems
- Feeding trusted learning data into BI tools and operational workflows
Audit-ready compliance recordkeeping
You need to prove who completed what, when, under which version, rule, role, or requirement — even after platforms change.
We preserve compliance history with the context needed for audit pulls, regulated roles, versioned content, and retention obligations.
Best for- Proving completion against specific course versions and requirements
- Responding quickly to regulator, auditor, or legal record requests
- Maintaining defensible evidence through system and role changes
Content portfolio audit
Courses, libraries, and subscriptions have accumulated across systems, but you don't know what is current, unused, or still worth funding.
Arcs Learning normalizes content metadata and usage across the stack to identify duplication, orphaned material, outdated versions, and licensing waste.
Best for- Identifying duplicate, outdated, and ownerless learning content
- Evaluating library usage before renewing licenses or subscriptions
- Deciding what to migrate, retire, consolidate, or invest in
Learning data landscape and AI readiness
AI pilots and new projects stall when nobody knows what learning data exists, who owns it, what can be trusted, and where the gaps exist.
Arcs Learning inventories the ecosystem, assessing data quality, permissions, lineage, privacy, and governance before you commit to a new platform or project.
Best for- Determining whether learning data is reliable enough for AI use
- Clarifying data ownership, access, privacy, and lineage before a pilot
- Prioritizing data cleanup and governance rules for new AI initiatives