# Workday Student + Agentic OS Integration > Source: https://ibl.ai/resources/integrations/workday-student-agentic-os *Deploy purpose-built AI agents on your Workday Student data — 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 — 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. ## Capabilities ### Real-Time Student Data Access AI agents query live Workday Student records — enrollment status, academic standing, holds, and degree progress — to deliver contextually accurate responses and actions without manual data exports. ### Automated Advising Workflows Agents detect advising triggers in Workday Student data — missed milestones, registration gaps, GPA thresholds — 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 — advising, financial aid, registration, wellness — that share Workday Student context and hand off tasks seamlessly across departments. ### Bi-Directional Workday Writeback Agents don't just read from Workday Student — they can write back structured outputs including advising notes, task completions, and custom student flags, keeping your SIS as the system of record. ## Setup ### Step 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. Requirements: - Workday tenant admin access - Integration System User (ISU) provisioning rights - Security group configuration for Student and Academic modules ### Step 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. Requirements: - Kubernetes cluster (cloud or on-premise) - Minimum 8 vCPU, 32GB RAM for base deployment - Institution domain and SSL certificates ### Step 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. Requirements: - Workday tenant URL - ISU client ID and client secret - Field mapping documentation for your Workday configuration ### Step 4: Define and Deploy AI Agents (~1-3 days) Use the Agentic OS agent builder to configure purpose-built agents for your use cases — advising, enrollment monitoring, at-risk detection, and more. Assign each agent a defined role, data scope, and escalation policy. Requirements: - Use case requirements documentation - Stakeholder sign-off on agent roles and permissions - LLM provider credentials (OpenAI, Azure OpenAI, or self-hosted) ### Step 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. Requirements: - Test student dataset from Workday sandbox - QA checklist aligned to FERPA access controls - Stakeholder review of agent output samples ### Step 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. Requirements: - Production Workday tenant access - Monitoring and alerting configuration - Runbook for incident response ## 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 ## FAQ **Q: Does this integration require moving student data outside our Workday environment?** No. ibl.ai Agentic OS is deployed on your institution's own infrastructure. Student data from Workday Student is processed within your environment and never stored on ibl.ai's servers. You maintain full data sovereignty. **Q: Is the Workday Student + Agentic OS integration FERPA compliant?** Yes. The integration is designed with FERPA compliance as a baseline requirement. All data access is governed by role-based permissions, every agent interaction is logged for audit purposes, and ibl.ai signs a FERPA-compliant data handling agreement with your institution. **Q: How does Agentic OS connect to Workday Student technically?** Agentic OS connects to Workday Student via Workday's REST APIs and RaaS (Report-as-a-Service) endpoints using OAuth 2.0 authentication. Real-time enrollment events are consumed via Workday's event subscription framework, while batch data syncs run on configurable schedules. **Q: Can AI agents write data back into Workday Student?** Yes. Agentic OS supports bi-directional integration with Workday Student. Agents can write back structured outputs such as advising notes, task completions, and custom student flags via Workday's REST API, keeping your SIS as the authoritative system of record. **Q: How long does it take to deploy the Workday Student + Agentic OS integration?** A standard deployment — including API configuration, Agentic OS setup, and initial agent deployment — typically takes 5 to 10 business days. Complex multi-agent deployments with custom workflows may require 3 to 6 weeks depending on institutional requirements. **Q: Do we need to replace Workday Student to use ibl.ai Agentic OS?** Absolutely not. Agentic OS is designed to augment your existing systems, not replace them. Workday Student remains your system of record. Agentic OS layers AI agent capabilities on top of your existing SIS data and workflows. **Q: What LLM providers are supported with Agentic OS?** Agentic OS supports OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and self-hosted open-source models such as LLaMA and Mistral. Institutions can choose the LLM provider that meets their data residency and procurement requirements. **Q: Can we build custom AI agents specific to our institution's Workday Student configuration?** Yes. Agentic OS includes a no-code and low-code agent builder that allows your team to define custom agent roles, data scopes, and workflows tailored to your Workday Student field mappings, business processes, and institutional policies.