Faculty Support
AI enablement and ongoing coaching to help faculty use AI confidently and responsibly for tutoring, advising, and content creation. On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. No need to choose build vs. buy — you get both.
Faculty Support — AI Enablement & Ongoing Coaching
Train, equip, and accompany faculty to use AI—confidently and responsibly—for tutoring, advising, and content creation.
What This Is
ibl.ai's education specialists and forward-deployed engineers provide a blended enablement program—collective workshops, individualized coaching, and live office hours—so faculty can adopt AI agents (on the ibl.ai platform, or your tools) with comfort, control, and clear classroom value.
Professional services billed by the hour at ultra-competitive rates; materials and templates are yours to keep.
Who We Support
Program Pillars
Foundations: how AI agents work (retrieval, citations, guardrails), academic integrity, accessibility, and equitable use. Pedagogical Patterns: tutoring, advising triage, formative feedback, and scaffolded writing supports.
Toolkits: prompt frameworks, "do/don't" libraries, syllabus language, and student-facing norms. Hands-On Labs: build a course agent, set datasets, test citations, and configure guardrails.
Course Makeovers: co-design activities, rubrics, and AI-supported workflows (e.g., feedback, study guides). Discipline-Specific Clinics: STEM problem-solving, clinical role-play, studio critiques, case teaching.
Prompt & Policy Reviews: refine prompts, set boundaries, add transparency language and accommodations.
FERPA/GDPR-aware workflows; dataset scoping and role-based access. Academic honesty: detection-resistant assignment design, citation expectations, disclosure guidance.
Accessibility by Design: WCAG practices, captioning, alt text, and inclusive prompt patterns.
What Faculty Walk Away With (Deliverables You Keep)
Engagement Model (Hours-Based, Transparent)
Impact Metrics We Track
Why ibl.ai
Get Started
What our partners say about us
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Frequently Asked Questions
Faculty Support is a comprehensive enablement program including workshops, 1:1 coaching, drop-in office hours, and ongoing accompaniment. We train faculty to use AI tools confidently for tutoring, advising, content creation, and assessment—while maintaining academic integrity.
No. The program is designed for all comfort levels. We start with fundamentals (what AI can and can't do), build practical skills with your specific tools, and provide ongoing support as faculty experiment. Many participants start skeptical and become advocates.
Head-on. Workshops cover responsible AI use policies, detection tools, assignment design that incorporates AI appropriately, and strategies for teaching students to use AI ethically. Faculty learn to leverage AI while maintaining rigor.
Yes. We work with your academic leadership to align training with institutional policies, strategic priorities, and specific tool deployments. Discipline-specific sessions can address unique needs in STEM, humanities, professional programs, etc.
Faculty have access to regular office hours, a community of practice with peers, updated resources as AI tools evolve, and dedicated coaching for complex use cases. Support continues as long as you need it—AI adoption is a journey, not an event.