Bring in any source and see what it covers. Put a dollar figure on a program. Then ask Copilot, ChatGPT, or Claude about any of it.
Add any source: Upload a sample, map its fields, and test it end to end. Nothing is ingested until it validates.
Automate imports: Regularly push data into tested mappings, on a daily, hourly, or real time basis.
Trace any record to its source: Every learner matched to the right person in your HR system, and every record traced back to where it came from.
Savings: Count what faster proficiency & fewer replacements are worth, against your baseline.
Payback: See when a program starts paying for itself.
One number: Give stakeholders one number for what the program is worth.
Adoption: Follow everyone from trained, to using, to habitual.
KPI lift: Measure each KPI against each person’s own baseline, like handle time or claims closed.
Training to use: See whether training turns into use, and who was trained but hasn’t started yet.
Drill down: Click any number to see the people behind it, then any person to see all their learning in that report.
Journeys: Follow one hire through milestones & certification to their first sales.
Overdue: Catch overdue training early, by department & course.
Correlation: Check whether training tracks the numbers you care about, like repeat repairs.
Top performers: See what your best people did in training that the rest didn’t.
Context: Get the context and caveats with the data, so your claims and AI both hold up.
Onboarding: Days to proficiency, milestones, retention at 30, 60, & 90 days, and savings.
AI rollouts: Adoption from trained to habitual, and the KPIs that changed with it.
Completion status: Completion & pass rates, what’s overdue, and proficiency by department & course.
Engagement: Where learning time goes, by platform & topic, and who keeps coming back.
Through Arcs’ MCP server, Copilot, ChatGPT, or Claude answers from all your joined-up data.
Hi [Name],
The good news: HR has the lowest overdue rate of any department (12.6%, against 14.8% company-wide).
The catch: 28 of HR’s 50 overdue assignments are more than 30 days past due, the highest share of any department.
The overdue status may be out of date. The last data load from Compliance Logs finished on Oct 10, so HR’s overdue numbers may be overstated.
Check when each source last loadedGo from question to action: Rank what’s overdue, break it down by department, and have your AI automatically take action.
Understand the context of an answer: Your AI tells you the definition and freshness of the data, like when a source last loaded.
Talk to the data at any level: Agents reach everything through Arcs’ MCP server, from row-level detail to program studies.
Hosted on AWS, in the US & EU: Using industry best practices and hosted on SOC 2 compliant AWS infrastructure.
Never used to train AI models: No shared or third-party hosted models are trained on your data.
Access security and audit logs: Staff access protected by multi-factor auth, with every admin action logged.
With Arcs and AI, we can finally break L&D’s catch-22 and demonstrate what L&D does for the enterprise.
Get a complete picture of your learning programs and their progress, and drill right down to the individual learner.
Get strategic insights from your AI tools based on your business data, your learning programs, and your organization’s goals.
