What does Faculty Support include?

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.

Is this training just for tech-savvy faculty?

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.

How do you address concerns about AI and academic integrity?

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.

Can training be customized for our institution?

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.

What ongoing support is available after initial training?

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.

Interested in an on-premise deployment or AI transformation? Calculate your AI costs. Call/text 📞 (571) 293-0242

Faculty Support

AI enablement and ongoing coaching to help faculty use AI confidently and responsibly for tutoring, advising, and content creation.

Sector:

Your Code. Your Data.Full ownership, zero vendor lock-in

Any LLM, Your ChoiceWorks with all major providers

85% Lower CostSignificantly cheaper at scale

AI TransformationPre-existing and custom agents

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 (mentorAI, skillsAI, courseAI, vidAI, 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

Tenured & adjunct faculty

Program directors & course leads

T&L centers

Instructional designers

Graduate TAs

Program Pillars

Collective Training (Department/Campus Cohorts)

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 mentor, set datasets, test citations, and configure guardrails.

Individual Coaching & Seminars

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.

Office Hours (Ongoing)Weekly drop-ins for troubleshooting, use-case vetting, and "show and tell". Micro-demos (10–15 min): mentor setup, Google Docs/Slides creation, analytics reads, risk flags. Rapid Iteration: review chat transcripts, improve prompts, adjust datasets and guardrails.

Safety, Ethics, and Compliance

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)

Slide decks, recording links, and step-by-step guides

Prompt libraries (tutoring, advising, content creation) and course-ready templates

Syllabus language, policy samples, and student orientation materials

Mentor configurations (datasets, guardrails, analytics views) for at least one target course

Assessment blueprints: item banks, feedback rubrics, and exemplar scaffolds

Engagement Model (Hours-Based, Transparent)

Discovery (hours):identify faculty needs by department/modality; finalize goals and metrics

Enablement Sprint (2–4 weeks):workshops + 1:1 coaching to ship first live use cases

Sustain Phase (ongoing hours):weekly office hours, new-term refreshers, and advanced clinics

Billing:hourly at ultra-competitive rates; milestone agendas, attendance logs, and impact summaries provided

Impact Metrics We Track

Faculty adoption & confidence ratings

Course coverage: mentors deployed, datasets configured, guardrails enabled

Student outcomes signals: engagement, help-seeking patterns, common gaps surfaced

Time saved on repetitive tasks (estimates from faculty self-reports)

Accessibility & integrity compliance checks completed

Why ibl.ai

Education-first, not hype:pedagogy, equity, and assessment drive the agenda

Hands-on + production-ready:we build with faculty, not just talk at them

Ownable outputs:you keep prompts, templates, and configs—no lock-in

Model-agnostic expertise:we optimize for accuracy, cost, and privacy across LLMs

Continuity:the same team that trains also supports office hours and iteration

Get Started

Department Workshop Pack (hours):2–3 sessions + Q&A

Course Studio (hours):deep dive for 5–10 priority courses

Campus Office Hours (retainer):weekly support across terms

What our partners say about us

Case Studies

Chris Gabriel | Google

Case Studies

Lorena Barba | George Washington University

Case Studies

Dr. Juana Mendenhall | Morehouse College

Juile Diop | MIT

Adam Tetelman | Nvidia

Jason Dom | American Public University System

Erika Digirolamo | Monroe College

David Flaten | SUNY

David Vise | Modern States Education Alliance

Linda Wood | ARM Institute (U.S. Department of Defense)

Case Studies

Chris Gabriel | Google

Case Studies

Lorena Barba | George Washington University

Case Studies

Dr. Juana Mendenhall | Morehouse College

Juile Diop | MIT

Adam Tetelman | Nvidia

Jason Dom | American Public University System

Erika Digirolamo | Monroe College

David Flaten | SUNY

David Vise | Modern States Education Alliance

Linda Wood | ARM Institute (U.S. Department of Defense)

Faculty Support

Faculty Support — AI Enablement & Ongoing Coaching

What This Is

Who We Support

Program Pillars

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

Frequently Asked Questions