AI Agents
Building, deploying, and managing autonomous AI agents for workflow automation, customer support, internal operations, and more.
AI agents represent the next evolution in enterprise automation—intelligent systems that can reason, plan, and take action autonomously. Unlike simple chatbots, AI agents handle complex multi-step tasks across customer support, internal operations, data analysis, and specialized workflows. Discover how agentic AI is transforming how organizations operate.
464 articles in this category
How to Market a School: Comprehensive Guide for 2026
A comprehensive guide to school marketing that covers strategy development, channel selection, content creation, and measuring results.
International Student Recruitment Strategies for 2026
Proven strategies for recruiting international students in 2026, covering digital outreach, agent partnerships, and enrollment support.
Low-Code AI Agents: Building Without Engineering Overhead
How low-code platforms enable organizations to build AI agents without heavy engineering investment, and when this approach works best.
Marketing to Graduate Students: Strategies That Work in 2026
Marketing strategies designed specifically for graduate student recruitment, addressing unique motivations and decision-making processes.
No-Code AI Agent Builders: Complete Comparison for 2026
A thorough comparison of no-code platforms for building AI agents, covering capabilities, limitations, and best-fit scenarios.
Predictive Analytics for Higher Education: A Practical Guide
A practical guide to implementing predictive analytics in higher education, from data preparation to model deployment and action.
Private School Marketing Strategies: A Complete Guide for 2026
Comprehensive marketing strategies for private schools, covering digital marketing, community engagement, and enrollment growth tactics.
Proof of Concept vs Pilot: Choosing the Right AI Approach
When to use a proof of concept versus a pilot for AI projects, including scope, goals, evaluation criteria, and transition planning.
SEO for Private Schools: The Complete Optimization Guide
A complete SEO guide for private schools, covering local SEO, content strategy, technical optimization, and measuring results.
Social Media Ideas for Colleges and Universities: 2026 Guide
Creative social media content ideas and strategies for colleges and universities to boost engagement and reach prospective students.
Student Engagement Analytics and Reporting: A Complete Guide
How to measure, analyze, and report on student engagement using analytics platforms, with attention to data security and privacy.
Student Lifecycle Management: A Data Analytics Approach
How to use data analytics across the entire student lifecycle, from recruitment through graduation and alumni engagement.
Student Success in Higher Education: A Complete Framework
A comprehensive framework for student success in higher education, covering early alert systems, advising, support services, and data analytics.
Vertical AI Agents: What They Are and Why They Matter
An explanation of vertical AI agents, how they differ from general-purpose agents, and why domain-specific AI agents deliver better results.
Vocational School Marketing: Strategies for Increasing Enrollment
Marketing strategies designed specifically for vocational and trade schools to increase enrollment and reach working adults.
What Does CRM Stand for in Education? A Complete Guide
A complete explanation of CRM in the education context, how it differs from business CRM, and how institutions can leverage it effectively.
What Is AI Orchestration? A Complete Guide for 2026
A comprehensive explanation of AI orchestration, how it works, why it matters, and how organizations can implement it effectively.
Workflow Automation in Higher Education: Complete Guide for 2026
A complete guide to workflow automation in higher education, covering admissions, student services, academic affairs, and administration.
ibl.ai Platform Updates — Week of January 30, 2026
Weekly platform update for the week of January 30, 2026, covering new features across Data Manager, ibl.ai, and skillsAI—including MCP Analytics, Search MCP, RBAC Enrollment Managers, Team Management, Groups, Mentor Editor, External Credentials, and Code Interpreter.
Union Theological Seminary Ă— ibl.ai: A Values-Driven Partnership to Explore Ethical AI in Theological Education
Union Theological Seminary and ibl.ai have launched a values-driven partnership to explore how AI can serve ethical, mission-aligned theological education—connecting with existing systems like Moodle and Formstack through a phased, human-in-the-loop approach that prioritizes student privacy, institutional control, and leadership oversight.
Students as Agent Builders: How Role-Based Access (RBAC) Makes It Possible
How ibl.ai’s role-based access control (RBAC) enables students to safely design and build real AI agents—mirroring industry-grade systems—while institutions retain full governance, security, and faculty oversight.
AI Equity as Infrastructure: Why Equitable Access to Institutional AI Must Be Treated as a Campus Utility — Not a Privilege
Why AI must be treated as shared campus infrastructure—closing the equity gap between students who can afford premium tools and those who can’t, and showing how ibl.ai enables affordable, governed AI access for all.
Pilot Fatigue and the Cost of Hesitation: Why Campuses Are Stuck in Endless Proof-of-Concept Cycles
Why higher education’s cautious pilot culture has become a roadblock to innovation—and how usage-based, scalable AI frameworks like ibl.ai’s help institutions escape “demo purgatory” and move confidently to production.
AI Literacy as Institutional Resilience: Equipping Faculty, Staff, and Administrators with Practical AI Fluency
How universities can turn AI literacy into institutional resilience—equipping every stakeholder with practical fluency, transparency, and confidence through explainable, campus-owned AI systems.