Faculty Support
AI enablement and ongoing coaching to help L&D teams, trainers, and subject-matter experts use AI confidently for employee development and compliance training. 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.
L&D Enablement — AI Training & Ongoing Coaching for Corporate Teams
Train, equip, and accompany your L&D professionals, trainers, and subject-matter experts to use AI—confidently and responsibly—for employee onboarding, compliance training, skills development, and performance support.
What This Is
ibl.ai's enterprise specialists and forward-deployed engineers provide a blended enablement program—collective workshops, individualized coaching, and live office hours—so your L&D team can adopt AI agents (on the ibl.ai platform, or your tools) with comfort, control, and clear business 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), data privacy, and responsible enterprise use. Workforce Patterns: onboarding coaches, compliance training, skills-gap analysis, and performance support workflows.
Toolkits: prompt frameworks, "do/don't" libraries, employee-facing guidelines, and governance templates. Hands-On Labs: build a training coach, configure knowledge bases from Workday/SuccessFactors data, test citations, and set guardrails.
Program Makeovers: co-design onboarding sequences, compliance modules, and AI-supported development plans. Industry-Specific Clinics: sales enablement, technical certification prep, leadership development, and customer service training.
Prompt & Policy Reviews: refine prompts, set boundaries for SOC 2/SOX/HIPAA-sensitive content, and add transparency language.
SOC 2/SOX/HIPAA-aware workflows; dataset scoping and role-based access. Data governance: PII handling, sensitive content boundaries, and audit trail requirements.
Accessibility by Design: WCAG practices, captioning, alt text, and inclusive prompt patterns for diverse workforce.
What Your Team Walks 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.