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Integration

Workday Student + Agentic OS Integration

Deploy purpose-built AI agents on your Workday Student data β€” automating advising, enrollment, and student success without vendor lock-in.

Workday Student is a modern, cloud-native student information system used by leading universities to manage enrollment, academic records, financial aid, and student lifecycle data. When connected to ibl.ai's Agentic OS, institutions unlock the ability to build and deploy intelligent AI agents directly on top of that data.

Agentic OS transforms static Workday Student records into dynamic, actionable intelligence. Purpose-built agents can monitor enrollment trends, flag at-risk students, automate advising workflows, and surface personalized recommendations β€” all grounded in real-time SIS data.

Unlike generic AI tools, every agent built on Agentic OS is owned by your institution. Your code, your infrastructure, your data. The integration is FERPA-compliant by design and requires no migration away from Workday Student.

Architecture

The integration connects Workday Student to ibl.ai Agentic OS via Workday's REST APIs and Raas (Report-as-a-Service) endpoints. Agentic OS ingests student records, enrollment data, and academic progress signals, then routes them to specialized AI agents deployed on institution-owned infrastructure.

Data Flows

Workday StudentAgentic OS Data LayerStudent enrollment records, academic standing, program plans (batch)
Workday StudentAgentic OS Event BusEnrollment status changes, registration events, holds (real-time)
Agentic OS AI AgentsWorkday StudentAdvising notes, task completions, agent-generated flags (on-demand)
Agentic OS Analytics EngineInstitution DashboardsAt-risk scores, retention predictions, engagement metrics (batch)
Workday StudentMentorAI Agent ContextCourse history, degree audit, financial aid status (on-demand)

Components

Workday Student API Connector

Authenticates and retrieves student records, enrollment data, and academic events from Workday via REST and RaaS endpoints

Workday REST API, OAuth 2.0, RaaS

Agentic OS Orchestration Layer

Routes data to the appropriate AI agents, manages agent lifecycles, and coordinates multi-agent workflows across departments

ibl.ai Agentic OS, Python, Kubernetes

Agent Context Store

Maintains enriched student profiles combining Workday SIS data with learning history, interaction logs, and predictive signals

PostgreSQL, Redis, institution-owned cloud storage

Compliance & Audit Module

Enforces FERPA data access controls, logs all agent interactions, and ensures data residency requirements are met

ibl.ai Compliance Framework, SOC 2 controls

Setup Guide

1

Provision Workday API Credentials

2-4 hours

Create a dedicated Workday Integration System User (ISU) with appropriate security group permissions for student data access. Generate OAuth 2.0 client credentials scoped to the required Workday Student modules.

  • Workday tenant admin access
  • Integration System User (ISU) provisioning rights
  • Security group configuration for Student and Academic modules
2

Deploy Agentic OS on Institution Infrastructure

4-8 hours

Install and configure ibl.ai Agentic OS on your institution's cloud or on-premise environment. This ensures all student data remains within your infrastructure boundary and under your data governance policies.

  • Kubernetes cluster (cloud or on-premise)
  • Minimum 8 vCPU, 32GB RAM for base deployment
  • Institution domain and SSL certificates
3

Configure Workday Student Connector

2-3 hours

Enter your Workday tenant URL and ISU credentials into the Agentic OS connector configuration panel. Map Workday Student data fields to the Agentic OS canonical student schema and define sync schedules for batch data flows.

  • Workday tenant URL
  • ISU client ID and client secret
  • Field mapping documentation for your Workday configuration
4

Define and Deploy AI Agents

1-3 days

Use the Agentic OS agent builder to configure purpose-built agents for your use cases β€” advising, enrollment monitoring, at-risk detection, and more. Assign each agent a defined role, data scope, and escalation policy.

  • Use case requirements documentation
  • Stakeholder sign-off on agent roles and permissions
  • LLM provider credentials (OpenAI, Azure OpenAI, or self-hosted)
5

Test Data Flows and Agent Responses

1-2 days

Run integration tests using a subset of anonymized student records. Validate that agents retrieve accurate Workday data, generate appropriate responses, and write back to Workday Student correctly where configured.

  • Test student dataset from Workday sandbox
  • QA checklist aligned to FERPA access controls
  • Stakeholder review of agent output samples
6

Go Live and Monitor

4-8 hours

Promote agents to production, enable real-time event subscriptions from Workday Student, and activate the Agentic OS monitoring dashboard. Set alert thresholds for agent errors, data sync failures, and compliance events.

  • Production Workday tenant access
  • Monitoring and alerting configuration
  • Runbook for incident response

Capabilities Unlocked

Real-Time Student Data Access

AI agents query live Workday Student records β€” enrollment status, academic standing, holds, and degree progress β€” to deliver contextually accurate responses and actions without manual data exports.

Automated Advising Workflows

Agents detect advising triggers in Workday Student data β€” missed milestones, registration gaps, GPA thresholds β€” and automatically initiate outreach, schedule appointments, or escalate to human advisors.

At-Risk Student Detection

Combine Workday Student academic records with engagement signals to generate predictive at-risk scores. Agents surface alerts to advisors and student success teams before students disengage.

Institution-Owned Agent Infrastructure

Every AI agent runs on your infrastructure. Workday Student data never leaves your environment. Agentic OS is deployed within your cloud tenancy, ensuring full data sovereignty and FERPA compliance.

Multi-Agent Orchestration

Agentic OS coordinates multiple specialized agents β€” advising, financial aid, registration, wellness β€” that share Workday Student context and hand off tasks seamlessly across departments.

Bi-Directional Workday Writeback

Agents don't just read from Workday Student β€” they can write back structured outputs including advising notes, task completions, and custom student flags, keeping your SIS as the system of record.

Enabled Use Cases

AI-Powered Academic Advising

Academic Advising

Deploy an advising agent that pulls each student's degree audit, course history, and enrollment data from Workday Student to answer questions, recommend next steps, and flag missing requirements β€” available 24/7.

Proactive Enrollment Monitoring

Enrollment Management

An enrollment agent continuously monitors Workday Student registration data, identifies students who have not enrolled for upcoming terms, and triggers personalized outreach campaigns to prevent stop-outs.

Financial Aid Awareness Agent

Financial Aid

Agents cross-reference Workday Student financial aid records with enrollment status to proactively notify students of disbursement timelines, missing documents, or eligibility changes before deadlines pass.

Student Success Early Alert

Student Success

Combine Workday Student academic standing data with LMS engagement signals to generate early alert scores. Agents automatically notify success coaches and recommend targeted interventions for at-risk students.

Onboarding and Orientation Automation

Student Affairs

New student onboarding agents use Workday Student admission and enrollment data to guide students through personalized checklists β€” registration, housing, financial aid, and orientation β€” reducing staff workload.

Technical Requirements

Workday Student Prerequisites

  • Workday Student tenant (2023 or later recommended)
  • Integration System User (ISU) with Student and Academic security group access
  • OAuth 2.0 client credentials enabled on Workday tenant
  • RaaS (Report-as-a-Service) endpoints configured for required data domains
  • Workday REST API access for real-time event subscriptions

ibl.ai Agentic OS Infrastructure

  • Kubernetes cluster (AWS EKS, Azure AKS, GCP GKE, or on-premise)
  • Minimum 8 vCPU and 32GB RAM for base Agentic OS deployment
  • PostgreSQL 14+ for agent context and audit storage
  • Redis 7+ for real-time event processing and caching
  • LLM provider access: OpenAI API, Azure OpenAI, or self-hosted model endpoint
  • SSL/TLS certificates and institution domain configuration

Compliance and Security

  • FERPA data handling agreement with ibl.ai
  • Network egress controls ensuring student data remains within institution boundary
  • Role-based access control (RBAC) configuration for agent permissions
  • Audit logging enabled for all agent interactions with student records
  • SOC 2 Type II compliance documentation available upon request

Frequently Asked Questions

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