# Faculty Support — AI Enablement & Ongoing Coaching

> Source: https://ibl.ai/service/faculty-support/higher-education

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

Train, equip, and accompany faculty to use AI—confidently and responsibly—for tutoring, advising, and content creation.

## What This Is

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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

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Tenured & adjunct faculty

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Program directors & course leads

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T&L centers

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Instructional designers

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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)

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

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

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Syllabus language, policy samples, and student orientation materials

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

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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

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Faculty adoption & confidence ratings

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Course coverage: mentors deployed, datasets configured, guardrails enabled

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

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

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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

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*[View on ibl.ai](https://ibl.ai/service/faculty-support/higher-education)*