# Salesforce Education Cloud + Agentic OS Integration > Source: https://ibl.ai/resources/integrations/salesforce-education-agentic-os *Deploy purpose-built AI agents on your Salesforce Education Cloud data to automate advising, personalize outreach, and accelerate student success.* Salesforce Education Cloud centralizes student relationship data — enrollment history, engagement signals, advising notes, and more. But data alone doesn't drive outcomes. ibl.ai Agentic OS transforms that data into action by deploying AI agents that reason, respond, and intervene at scale. With this integration, institutions can build and run AI agents directly on top of their Salesforce Education Cloud environment. Agents can monitor student risk signals, trigger personalized interventions, assist advisors with context-aware recommendations, and automate routine CRM workflows — all without replacing existing processes. Because ibl.ai runs on your infrastructure, your institution owns every agent, every data flow, and every model. There is no vendor lock-in, no data leaving your environment, and full compliance with FERPA, HIPAA, and SOC 2 requirements from day one. ## Capabilities ### Real-Time Student Risk Detection AI agents continuously monitor Salesforce engagement scores, attendance signals, and advising case data to identify at-risk students and trigger timely, personalized interventions before issues escalate. ### Advisor Augmentation & Recommendations Agents surface context-aware recommendations directly within Salesforce advisor workflows — suggesting next-best actions, flagging caseload priorities, and drafting outreach messages automatically. ### Automated Personalized Outreach Deploy agents that generate and deliver personalized nudges, reminders, and support messages to students based on their CRM profile, academic stage, and behavioral signals — at scale. ### CRM Workflow Automation Agents automate repetitive Salesforce tasks — creating cases, updating records, assigning tasks, and logging interactions — freeing staff to focus on high-value student engagement activities. ### Owned AI Infrastructure Every agent runs on your institution's infrastructure. No student data leaves your environment. Full FERPA, HIPAA, and SOC 2 compliance is maintained by design, with zero dependency on ibl.ai servers. ### Cross-System Agent Orchestration Agentic OS orchestrates agents across Salesforce Education Cloud and other institutional systems — Canvas, Banner, PeopleSoft — creating unified AI workflows that span your entire technology stack. ## Setup ### Step 1: Provision ibl.ai Agentic OS on Your Infrastructure (~1-2 days) Deploy the ibl.ai Agentic OS platform on your institution's cloud environment or on-premises infrastructure. This ensures all data remains within your security perimeter and meets compliance requirements. Requirements: - Cloud environment (AWS, Azure, GCP) or on-premises server - ibl.ai Agentic OS license - System administrator access ### Step 2: Configure Salesforce Connected App & OAuth (~2-4 hours) Create a Connected App in your Salesforce Education Cloud org and generate OAuth 2.0 credentials. These credentials authorize ibl.ai Agentic OS to securely read and write CRM data. Requirements: - Salesforce System Administrator role - Salesforce Education Cloud org with API access enabled - OAuth 2.0 client ID and secret ### Step 3: Install the ibl.ai Salesforce Connector (~4-8 hours) Install and configure the ibl.ai Salesforce Connector within the Agentic OS platform. Map Salesforce objects — Contacts, Cases, Opportunities, and custom Education Cloud objects — to the agent data schema. Requirements: - ibl.ai Salesforce Connector package - Salesforce object schema documentation - ibl.ai platform administrator access ### Step 4: Define and Deploy AI Agents (~1-3 days) Use the Agentic OS Agent Configuration Console to define agent roles, assign data access scopes, configure reasoning rules, and set output destinations back to Salesforce records or external channels. Requirements: - Defined agent use cases (e.g., risk detection, advising support) - Approved data access policy - ibl.ai Agentic OS Agent Builder access ### Step 5: Enable Platform Events & Real-Time Triggers (~4-6 hours) Configure Salesforce Platform Events to push real-time signals — such as enrollment drops, missed milestones, or case updates — to the Agentic OS event bridge for immediate agent response. Requirements: - Salesforce Platform Events enabled - Event schema defined for target triggers - ibl.ai event bridge endpoint configured ### Step 6: Test, Monitor, and Iterate (~2-5 days) Run end-to-end integration tests using sample student records. Monitor agent activity logs, validate data write-backs to Salesforce, and iterate on agent configurations before full production rollout. Requirements: - Salesforce sandbox environment - ibl.ai Agentic OS monitoring dashboard - QA sign-off checklist ## Technical Requirements **Salesforce Education Cloud Requirements:** - Salesforce Education Cloud license with API access enabled - Salesforce System Administrator role for Connected App setup - Platform Events enabled in Salesforce org - Salesforce API version 55.0 or higher - Education Data Architecture (EDA) or Salesforce for Education data model configured **ibl.ai Agentic OS Requirements:** - ibl.ai Agentic OS deployed on institution-owned infrastructure (cloud or on-premises) - ibl.ai Salesforce Connector package installed - Minimum 8-core CPU, 32GB RAM for agent runtime (scales with agent count) - Outbound HTTPS access to Salesforce API endpoints - ibl.ai platform administrator credentials **Security & Compliance Requirements:** - OAuth 2.0 credentials with least-privilege Salesforce permission sets - TLS 1.2 or higher for all data in transit - Data residency confirmation — all agent processing occurs on institution infrastructure - FERPA data handling policy review and sign-off - SOC 2 Type II audit documentation available from ibl.ai upon request ## FAQ **Q: Does the Salesforce Education Cloud and ibl.ai Agentic OS integration require student data to leave our institution's environment?** No. ibl.ai Agentic OS is deployed on your institution's own infrastructure — cloud or on-premises. All AI agent processing, model inference, and data handling occurs within your environment. Student data never passes through ibl.ai servers, ensuring full FERPA compliance by design. **Q: What Salesforce Education Cloud objects can ibl.ai Agentic OS agents access?** Agents can be configured to access standard Salesforce objects including Contacts, Cases, Opportunities, Tasks, and Events, as well as Education Cloud-specific objects such as Program Enrollments, Course Connections, and Academic Summaries. Access is governed by least-privilege OAuth permission sets defined during setup. **Q: Can ibl.ai Agentic OS write data back to Salesforce Education Cloud records?** Yes. Agents can write AI-generated outputs — risk flags, intervention recommendations, outreach logs, case updates, and task assignments — directly back to Salesforce records via the Salesforce REST API. All write-back actions are logged in the Agentic OS audit trail. **Q: How long does it take to deploy the Salesforce Education Cloud and Agentic OS integration?** A standard integration with pre-built agent templates typically takes 1 to 3 weeks from infrastructure provisioning to production deployment. Custom agent configurations with complex data mappings or multi-system orchestration may require 4 to 8 weeks depending on institutional complexity. **Q: Does this integration work alongside other systems like Canvas, Banner, or PeopleSoft?** Yes. ibl.ai Agentic OS is designed for multi-system orchestration. Agents can simultaneously consume data from Salesforce Education Cloud, Canvas, Banner, PeopleSoft, and other institutional systems — creating unified AI workflows that span your entire technology stack without requiring a single-vendor approach. **Q: Is ibl.ai Agentic OS a generic AI chatbot layered on top of Salesforce?** No. Agentic OS deploys purpose-built AI agents with defined roles, data scopes, and reasoning rules — not generic chatbots. Each agent is configured for a specific institutional function such as risk detection, advisor augmentation, or enrollment outreach, and operates with institutional context rather than generic responses. **Q: What compliance certifications does this integration support?** The ibl.ai Agentic OS platform is built to support FERPA, HIPAA, and SOC 2 compliance requirements. Because all processing occurs on institution-owned infrastructure, institutions maintain data sovereignty. ibl.ai provides SOC 2 Type II documentation and compliance architecture guidance upon request. **Q: Can our institution own and modify the AI agents deployed through Agentic OS?** Yes. Institutional ownership is a core principle of ibl.ai Agentic OS. Your institution owns the agent code, configuration, training data, and infrastructure. There is no vendor lock-in — agents can be modified, extended, or migrated independently of ibl.ai at any time.