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Integration

PeopleSoft Campus Solutions + MentorAI Integration

Transform student data from Oracle PeopleSoft into personalized AI mentoring experiences β€” without leaving your infrastructure.

Oracle PeopleSoft Campus Solutions is one of the most widely deployed Student Information Systems in higher education, managing enrollment, academic records, financial aid, and advising data at scale.

By integrating PeopleSoft with ibl.ai MentorAI, institutions unlock a direct bridge between authoritative student data and purpose-built AI tutoring agents. MentorAI uses enrollment context, course history, and academic standing to deliver guidance that is relevant, timely, and personalized.

Unlike generic AI chatbots, MentorAI agents are institution-owned and run on your infrastructure. Your PeopleSoft data never leaves your environment, ensuring full FERPA compliance while giving every student an intelligent mentor available 24/7.

Architecture

The integration connects PeopleSoft Campus Solutions to ibl.ai MentorAI via a secure middleware layer. PeopleSoft exposes student, enrollment, and academic data through its Integration Broker and REST/SOAP APIs. The ibl.ai Agentic OS ingests this data to contextualize MentorAI agents, which are deployed on institution-owned infrastructure and accessed through the LMS or a standalone portal.

Data Flows

PeopleSoft Campus Solutionsibl.ai Agentic OSStudent enrollment and course registration records (batch)
PeopleSoft Campus Solutionsibl.ai MentorAIAcademic history, GPA, and program of study (on-demand)
PeopleSoft Campus Solutionsibl.ai MentorAIAdvisor assignments and student flags (batch)
ibl.ai MentorAIPeopleSoft Campus SolutionsEngagement events and learning interaction summaries (batch)
ibl.ai Agentic OSPeopleSoft Campus SolutionsCredential and competency completion signals (on-demand)

Components

PeopleSoft Integration Broker

Exposes student, enrollment, and academic data via REST and SOAP service operations for secure external consumption

Oracle PeopleSoft Integration Broker

ibl.ai Agentic OS

Middleware and agent orchestration layer that ingests PeopleSoft data, manages agent context, and enforces data governance policies

ibl.ai Agentic OS (institution-hosted)

MentorAI Agent Engine

Purpose-built AI tutoring and mentoring agents that consume student context to deliver personalized, role-defined guidance

ibl.ai MentorAI

Secure Data Sync Service

Scheduled and event-driven sync layer that normalizes PeopleSoft data schemas into ibl.ai agent context models with audit logging

ibl.ai Connector (Docker / Kubernetes)

Setup Guide

1

Enable PeopleSoft Integration Broker Services

2–4 hours

Activate the required PeopleSoft Integration Broker service operations for student, enrollment, and academic record data. Configure gateway routing and SSL certificates for external API access.

  • PeopleSoft Campus Solutions 9.2 or later
  • Integration Broker administrator access
  • Outbound REST or SOAP service operations enabled
  • SSL certificate for secure endpoint communication
2

Provision ibl.ai Agentic OS on Institution Infrastructure

4–8 hours

Deploy the ibl.ai Agentic OS on your institution's cloud or on-premises environment. This ensures all student data remains within your controlled infrastructure throughout the integration.

  • Kubernetes cluster or Docker-compatible environment
  • Minimum 8 vCPU, 32 GB RAM for production deployment
  • Institution-controlled cloud account (AWS, Azure, GCP) or on-prem server
  • ibl.ai license and deployment credentials
3

Configure the PeopleSoft Connector

3–6 hours

Install and configure the ibl.ai PeopleSoft Connector module within Agentic OS. Map PeopleSoft data fields β€” including student ID, enrollment status, program, and GPA β€” to the MentorAI context schema.

  • ibl.ai PeopleSoft Connector package
  • PeopleSoft API credentials and endpoint URLs
  • Field mapping specification document
  • Data governance review sign-off
4

Define and Configure MentorAI Agents

4–8 hours

Use the ibl.ai agent builder to define MentorAI agent roles β€” such as course tutor, academic advisor assistant, or onboarding guide. Assign each agent the relevant PeopleSoft data context and knowledge sources.

  • ibl.ai Agentic OS admin access
  • Course and program content or syllabi for agent knowledge base
  • Defined agent personas and escalation rules
  • LMS or portal embed target identified
5

Test Data Sync and Agent Responses

4–6 hours

Run end-to-end integration tests using sandbox PeopleSoft data. Validate that MentorAI agents correctly receive student context, respond with personalized guidance, and that interaction logs sync back to PeopleSoft.

  • PeopleSoft sandbox or test environment
  • Sample student records for testing
  • ibl.ai integration test suite
  • QA sign-off checklist
6

Deploy and Monitor in Production

2–4 hours

Promote the integration to production. Configure monitoring dashboards in Agentic OS to track agent engagement, data sync health, and student interaction metrics. Set up alerts for sync failures or anomalies.

  • Production PeopleSoft environment access
  • Monitoring and alerting configuration
  • Institution IT and compliance sign-off
  • Student communication plan for rollout

Capabilities Unlocked

Enrollment-Aware AI Tutoring

MentorAI agents automatically know which courses a student is enrolled in via PeopleSoft, enabling tutoring conversations that are immediately relevant to their current coursework without manual setup.

Academic History Contextualization

Agents reference a student's GPA, completed courses, and academic standing from PeopleSoft to tailor difficulty, pacing, and encouragement β€” delivering truly adaptive mentoring at scale.

Advisor-Aligned Guidance

MentorAI reads advisor assignments and student flags from PeopleSoft, ensuring AI mentoring aligns with human advisor strategies and escalates appropriately when intervention is needed.

24/7 Personalized Student Support

Students receive on-demand academic support at any hour. MentorAI agents handle high-volume routine questions, freeing human advisors and faculty for complex, high-touch interactions.

FERPA-Compliant by Design

All PeopleSoft student data is processed within institution-owned infrastructure. No student records are sent to third-party AI providers, ensuring full FERPA compliance without configuration overhead.

Engagement Data Writeback

MentorAI interaction summaries and engagement signals are written back to PeopleSoft, enriching student records and enabling advisors to see AI-assisted learning activity alongside academic data.

Enabled Use Cases

First-Year Student Onboarding Support

Student Affairs / Enrollment Management

MentorAI agents greet new students with personalized onboarding guidance based on their PeopleSoft enrollment data β€” answering questions about their specific courses, deadlines, and campus resources before classes begin.

At-Risk Student Early Intervention

Academic Advising

When PeopleSoft flags a student for academic risk, MentorAI proactively initiates supportive check-ins, connects students to tutoring resources, and notifies advisors β€” creating a coordinated early alert response.

Course-Specific AI Tutoring

Academic Affairs / Faculty

Faculty configure MentorAI agents for specific courses. The agent knows which students are enrolled via PeopleSoft and delivers targeted tutoring aligned to the syllabus, reducing faculty office hour load.

Degree Planning and Prerequisite Guidance

Registrar / Academic Advising

Students ask MentorAI about degree requirements and course sequencing. The agent queries PeopleSoft academic history to give accurate, personalized advice on what to take next to stay on track for graduation.

Financial Aid and Enrollment FAQ Deflection

Financial Aid / Registrar

MentorAI handles high-volume student questions about enrollment status, financial aid deadlines, and registration holds by referencing live PeopleSoft data β€” reducing call center and help desk volume significantly.

Technical Requirements

PeopleSoft Environment

  • PeopleSoft Campus Solutions 9.2 or higher
  • Integration Broker enabled and configured
  • REST or SOAP service operations for student, enrollment, and academic data
  • Dedicated integration service account with least-privilege permissions
  • SSL/TLS enabled on all API endpoints

ibl.ai Infrastructure

  • Kubernetes 1.24+ or Docker Compose environment
  • Minimum 8 vCPU and 32 GB RAM for production Agentic OS deployment
  • Institution-controlled cloud (AWS, Azure, GCP) or on-premises server
  • Outbound HTTPS access to ibl.ai license validation endpoint
  • Persistent storage volume for agent context and audit logs (minimum 100 GB)

Security and Compliance

  • FERPA data handling agreement with ibl.ai on file
  • Network segmentation between PeopleSoft and ibl.ai deployment environments
  • Role-based access control configured in Agentic OS admin panel
  • Audit logging enabled for all PeopleSoft data access events
  • Annual penetration testing recommended; SOC 2 Type II report available from ibl.ai

Frequently Asked Questions

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