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Integration

Workday Student + Agentic LMS Integration

Transform your Workday Student data into AI-powered, personalized learning experiences β€” without replacing your existing infrastructure.

Workday Student is a modern, cloud-based Student Information System (SIS) trusted by higher education institutions to manage enrollment, academic records, financial aid, and student lifecycle data. When connected to ibl.ai's Agentic LMS, that institutional data becomes the engine for intelligent, personalized learning.

The ibl.ai Agentic LMS is an AI-native learning management system built on purpose-built agents β€” not generic chatbots. It uses real-time student data from Workday Student to deliver adaptive course experiences, proactive advising nudges, and automated compliance workflows.

This integration gives institutions a zero-lock-in path to AI-powered education. Your Workday Student data stays on your infrastructure, your agents run under your control, and every interaction is FERPA-compliant by design.

Architecture

The integration uses a secure middleware layer to sync Workday Student records with the ibl.ai Agentic LMS. Enrollment, academic standing, and program data flow in real time or on a scheduled batch cadence. AI agents in the Agentic LMS consume this data to personalize learning paths, trigger interventions, and surface insights to faculty and advisors.

Data Flows

Workday Studentibl.ai Agentic LMSEnrollment and course registration records (real-time)
Workday Studentibl.ai Agentic LMSStudent academic standing and GPA data (batch)
ibl.ai Agentic LMSWorkday StudentCourse completion and grade passback (batch)
Workday Studentibl.ai Agentic LMSProgram of study and degree audit data (on-demand)
ibl.ai Agentic LMSWorkday StudentCredential and competency attainment records (batch)

Components

Workday Student REST API

Exposes student enrollment, academic, and program data for consumption by the integration layer

Workday REST API / Workday Web Services (WWS)

ibl.ai Integration Middleware

Authenticates, transforms, and routes data between Workday Student and the Agentic LMS in real time or batch

ibl.ai Agentic OS connector framework

ibl.ai Agentic LMS Core

Consumes synced student data to power AI agents, adaptive learning paths, and automated workflows

ibl.ai Agentic LMS on customer-owned infrastructure

AI Agent Orchestration Layer

Deploys purpose-built agents (advising, tutoring, credentialing) that act on Workday Student data in context

ibl.ai Agentic OS

Setup Guide

1

Provision Workday Student API Access

2–4 hours

Create a dedicated Integration System User (ISU) in Workday with appropriate security domain permissions for Student enrollment, academic records, and program data. Generate API credentials for the ibl.ai middleware.

  • Workday tenant admin access
  • Security domain permissions for Student data
  • Integration System User (ISU) provisioned
  • Workday REST API or WWS endpoint URLs
2

Deploy ibl.ai Agentic LMS on Your Infrastructure

4–8 hours

Install and configure the ibl.ai Agentic LMS on your institution's cloud or on-premises environment. This ensures all student data remains under your control and meets FERPA compliance requirements.

  • Cloud or on-premises server environment
  • Docker or Kubernetes support
  • ibl.ai deployment credentials from your account team
  • Network access to Workday tenant endpoints
3

Configure the Workday Student Connector

2–3 hours

In the ibl.ai Agentic OS, activate the Workday Student connector. Input your ISU credentials, tenant URL, and select the data objects to sync β€” enrollment, academic standing, program of study, and grade passback.

  • ibl.ai Agentic OS admin access
  • Workday ISU credentials
  • Workday tenant base URL
  • Data object mapping completed
4

Map Student Data Fields and Sync Rules

3–5 hours

Define field mappings between Workday Student data objects and ibl.ai Agentic LMS learner profiles. Set sync frequency rules β€” real-time for enrollment events, batch for academic standing updates.

  • Data dictionary from Workday Student admin
  • ibl.ai field mapping interface access
  • Defined sync schedule and trigger events
5

Deploy and Configure AI Agents

4–6 hours

Activate purpose-built AI agents within the Agentic LMS β€” including MentorAI for tutoring, advising agents for at-risk detection, and credentialing agents for competency tracking β€” scoped to your Workday Student population.

  • ibl.ai Agentic OS agent configuration access
  • Defined agent roles and escalation rules
  • Faculty and advisor onboarding completed
6

Test, Validate, and Go Live

1–2 weeks

Run end-to-end integration tests using sandbox Workday Student data. Validate enrollment sync, grade passback accuracy, and agent behavior. Complete UAT with a pilot cohort before full institutional rollout.

  • Workday Student sandbox environment
  • UAT test plan and pilot cohort defined
  • ibl.ai support team engaged for go-live

Capabilities Unlocked

Real-Time Enrollment Sync

Student enrollment and registration changes in Workday Student are instantly reflected in the Agentic LMS, ensuring AI agents always act on current course and cohort data without manual intervention.

AI-Powered Personalized Learning Paths

The Agentic LMS uses Workday Student academic history, program of study, and standing data to generate adaptive learning paths tailored to each student's goals and performance profile.

Automated At-Risk Student Detection

Purpose-built advising agents monitor academic standing signals from Workday Student and trigger proactive outreach, resource recommendations, or advisor alerts before students fall behind.

Seamless Grade and Completion Passback

Course completions, grades, and competency attainments recorded in the Agentic LMS are automatically written back to Workday Student, eliminating duplicate data entry and reducing administrative burden.

AI Credentialing Tied to Degree Audit

Agentic Credential agents map skill and competency attainments to Workday Student degree audit requirements, giving students and advisors a live view of progress toward graduation.

FERPA-Compliant Data Sovereignty

All student data synced from Workday Student remains on institution-owned infrastructure. ibl.ai agents run in your environment β€” no student records are sent to third-party AI providers.

Enabled Use Cases

Proactive Academic Advising at Scale

Academic Advising

Advising agents pull academic standing and enrollment data from Workday Student to identify students at risk of falling below satisfactory academic progress. Agents send personalized nudges and escalate to human advisors when needed β€” enabling one advisor to effectively support hundreds of students.

Personalized Onboarding for New Students

Student Success

When a new student enrolls in Workday Student, the Agentic LMS automatically provisions their learner profile, assigns orientation modules, and activates a MentorAI agent scoped to their program β€” delivering a personalized day-one experience without manual setup.

Competency-Based Education Tracking

Academic Affairs

For institutions running competency-based programs, the integration maps Agentic LMS competency attainments directly to Workday Student degree audit nodes β€” giving faculty, advisors, and students a unified, real-time view of academic progress.

Automated Compliance Reporting

Institutional Research & Compliance

The Agentic LMS aggregates learning activity, completion, and engagement data and surfaces it alongside Workday Student enrollment records β€” enabling automated generation of Title IV, accreditation, and institutional effectiveness reports.

Faculty Course Intelligence Dashboard

Faculty & Instruction

Faculty access an AI-powered dashboard that combines Workday Student roster and academic standing data with Agentic LMS engagement analytics β€” surfacing which students need intervention and what content is driving outcomes.

Technical Requirements

Workday Student Prerequisites

  • Workday Student tenant (Production and Sandbox)
  • Integration System User (ISU) with Student data domain permissions
  • Workday REST API or Workday Web Services (WWS) enabled
  • Workday API version 2023.2 or later recommended
  • Network firewall rules permitting outbound calls to ibl.ai middleware endpoints

ibl.ai Agentic LMS Infrastructure

  • Linux-based server environment (cloud or on-premises)
  • Docker 20.x+ or Kubernetes 1.25+ for containerized deployment
  • Minimum 8 vCPU, 32 GB RAM for production workloads
  • PostgreSQL 14+ for Agentic LMS data persistence
  • SSL/TLS certificates for all API endpoints
  • ibl.ai Agentic OS license with Workday Student connector enabled

Security and Compliance

  • FERPA data handling agreement with ibl.ai in place
  • Data residency confirmed β€” all student data processed on institution-owned infrastructure
  • OAuth 2.0 or API key authentication for Workday ISU credentials
  • Audit logging enabled for all data sync events
  • Role-based access control (RBAC) configured for faculty, advisor, and admin personas

Frequently Asked Questions

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