# Workday Student + MentorAI Integration > Source: https://ibl.ai/resources/integrations/workday-student-mentorai *Transform Workday Student data into personalized AI tutoring and mentoring experiences — owned by your institution, built for your learners.* Workday Student is a modern, cloud-native Student Information System used by higher education institutions to manage enrollment, academic records, advising, and student lifecycle data. When connected to ibl.ai MentorAI, that structured data becomes the foundation for intelligent, personalized AI tutoring agents. MentorAI agents pull enrollment status, course registrations, academic standing, and program requirements directly from Workday Student to deliver context-aware guidance. Students receive tutoring and mentoring that reflects exactly where they are in their academic journey — not generic responses. Unlike off-the-shelf AI tools, ibl.ai MentorAI agents are purpose-built and institution-owned. Your data stays on your infrastructure, your agents carry your brand and policies, and there is zero vendor lock-in. The Workday Student integration is FERPA-compliant by design. ## Capabilities ### Enrollment-Aware AI Tutoring MentorAI agents automatically know which courses a student is enrolled in via Workday Student, enabling tutoring sessions that are immediately relevant to current coursework without manual setup by the student. ### Degree Progress Mentoring Agents access degree audit and academic plan data from Workday Student to guide students on remaining requirements, course sequencing, and milestone completion — acting as an always-available academic advisor. ### At-Risk Early Intervention Real-time triggers from Workday Student at-risk flags activate proactive MentorAI outreach, connecting struggling students with targeted tutoring resources and support pathways before issues escalate. ### Personalized Learning Pathways Using academic standing, program of study, and course history from Workday Student, MentorAI constructs individualized learning pathways that adapt as student records are updated in the SIS. ### Compliance-First Data Handling All student data exchanged between Workday Student and MentorAI is governed by FERPA-compliant data policies. Data resides on institution-owned infrastructure with full audit trails and access controls. ### Learning Outcome Feedback Loop MentorAI session outcomes and competency signals are written back to Workday Student, enriching academic records with AI-assessed learning progress and supporting accreditation and reporting workflows. ## Setup ### Step 1: Provision Workday Student API Credentials (~2-4 hours) Create a dedicated Integration System User (ISU) in Workday with appropriate domain security policies. Generate OAuth 2.0 client credentials scoped to student academic and enrollment data domains required by MentorAI. Requirements: - Workday tenant administrator access - Security domain permissions for Student Academic Records and Enrollment - OAuth 2.0 client registration in Workday ### Step 2: Deploy ibl.ai Agentic OS Integration Layer (~4-8 hours) Install and configure the ibl.ai Agentic OS on your institution's infrastructure. Input Workday API credentials, define data sync schedules, and configure field mappings between Workday Student data objects and MentorAI context schemas. Requirements: - ibl.ai Agentic OS license and deployment package - Institution-controlled server or cloud environment - Network access to Workday tenant endpoints ### Step 3: Configure Student Data Sync Policies (~2-3 hours) Define which Workday Student data fields are ingested by MentorAI, set sync frequency for batch jobs, and enable real-time webhook triggers for at-risk flags and enrollment changes. Apply FERPA data minimization rules. Requirements: - Data governance approval from institutional privacy officer - FERPA data use agreement in place - Defined list of approved Workday Student fields ### Step 4: Build and Configure MentorAI Agents (~1-2 days) Use the ibl.ai agent builder to create purpose-built MentorAI agents for your institution. Assign roles such as course tutor, academic advisor assistant, or onboarding mentor. Connect agents to Workday Student context feeds. Requirements: - ibl.ai MentorAI platform access - Defined agent personas and instructional scope - Institutional knowledge base or course content for RAG ### Step 5: Test Integration and Run Pilot (~1-2 weeks) Validate data flows with a subset of test student records. Conduct a pilot with a small cohort, verify that MentorAI agents surface accurate Workday Student context, and review interaction logs for quality and compliance. Requirements: - Test student accounts in Workday Student - Pilot cohort of 20-50 students - QA checklist covering data accuracy and agent response quality ### Step 6: Launch and Monitor (~Ongoing) Roll out MentorAI to the full student population. Monitor engagement analytics, agent performance dashboards, and Workday Student data sync health. Configure alerts for sync failures or anomalous agent behavior. Requirements: - Institution-wide communication plan - LMS or portal embed configured for student access - Monitoring dashboards enabled in ibl.ai Agentic OS ## Technical Requirements **Workday Student Prerequisites:** - Workday Student tenant on a supported release (2023 or later recommended) - Integration System User (ISU) with Student Academic Records and Enrollment security domains - OAuth 2.0 API client registered in Workday tenant - Workday REST API or Workday Extend access enabled - Webhook or Workday Business Process notification capability for real-time triggers **ibl.ai Platform Requirements:** - ibl.ai Agentic OS deployed on institution-controlled infrastructure (cloud or on-premise) - ibl.ai MentorAI license with Workday Student connector enabled - Minimum 4 vCPU / 16 GB RAM for Agentic OS integration layer (scales with user volume) - TLS 1.2+ for all data in transit between Workday and ibl.ai components - Institution-managed encryption keys for data at rest **Compliance and Governance:** - Signed FERPA data use agreement and data processing addendum with ibl.ai - Institutional data governance approval for student data fields shared with MentorAI - Privacy officer review of data minimization configuration - Audit logging enabled for all Workday Student data access events - Annual security review aligned with SOC 2 Type II controls ## FAQ **Q: Does MentorAI store Workday Student data on ibl.ai servers?** No. The ibl.ai MentorAI integration is designed so that all student data from Workday Student resides on institution-owned and institution-controlled infrastructure. ibl.ai does not store your student records on shared or vendor-managed servers, ensuring full FERPA compliance and zero vendor lock-in. **Q: How does MentorAI know which courses a student is currently enrolled in?** MentorAI connects to Workday Student via secure REST APIs to retrieve current enrollment records for each student. This data is synced on a scheduled batch basis and refreshed on-demand when a student initiates a tutoring session, ensuring agents always reflect the student's current academic context. **Q: Can MentorAI agents trigger actions back in Workday Student?** Yes. MentorAI can write structured data back to Workday Student, including tutoring session completion events, competency signals, and engagement flags. This enables learning outcomes captured by MentorAI to enrich the student's academic record and support advising and accreditation workflows. **Q: Is this integration compliant with FERPA?** Yes. The Workday Student and MentorAI integration is FERPA-compliant by design. Data minimization policies control which student fields are shared, all data remains on institution-controlled infrastructure, full audit trails are maintained, and ibl.ai operates as a school official under a signed data use agreement. **Q: How long does it take to set up the Workday Student and MentorAI integration?** A typical deployment takes two to four weeks from credential provisioning to full launch, including a one-to-two week pilot phase. The timeline depends on institutional data governance approvals, the number of MentorAI agent personas configured, and the complexity of Workday Student field mappings required. **Q: Can we use MentorAI alongside our existing LMS while keeping Workday Student as the SIS?** Absolutely. ibl.ai MentorAI is designed to integrate with existing ecosystems. It can sit alongside Canvas, Blackboard, or other LMS platforms while pulling authoritative enrollment and academic data from Workday Student. Students can access MentorAI agents embedded in their existing learning environment. **Q: What happens to MentorAI agents if we change or upgrade our Workday Student configuration?** Because your institution owns the MentorAI agents and the integration layer runs on your infrastructure, you have full control over how agents respond to Workday Student changes. ibl.ai provides versioned connector updates and migration support to ensure continuity when Workday Student APIs or data models are updated. **Q: Can MentorAI agents be customized for different departments or student populations?** Yes. MentorAI agents are purpose-built with defined roles and scopes. You can configure separate agents for undergraduate advising, graduate program mentoring, STEM tutoring, or first-generation student support — each drawing on the relevant Workday Student data fields appropriate to that population.