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 agency trainers and program managers use AI confidently for workforce development and citizen services.

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

Workforce Enablement — AI Training & Ongoing Coaching for Government Teams

Train, equip, and accompany agency trainers, program managers, and workforce developers to use AI—confidently, responsibly, and within federal compliance frameworks—for workforce development, program support, and citizen services.

What This Is

ibl.ai's government specialists and forward-deployed engineers provide a blended enablement program—collective workshops, individualized coaching, and live office hours—so your workforce development team can adopt AI agents (mentorAI, skillsAI, courseAI, vidAI, or your tools) with comfort, control, and clear mission value while maintaining NIST 800-53 compliance.

Professional services billed by the hour at ultra-competitive rates; materials and templates are yours to keep.

Who We Support

Agency training officers & program managers

Workforce development specialists

Subject-matter experts (SMEs) across programs

Instructional designers & content developers

CIO/CTO staff and digital transformation leads

Program Pillars

Collective Training (Agency/Office Cohorts)

Foundations: how AI agents work (retrieval, citations, guardrails), data classification, and responsible government use. Mission Patterns: workforce coaching, mandatory training, certification prep, and knowledge management.

Toolkits: prompt frameworks, "do/don't" libraries, agency policy language, and end-user guidelines. Hands-On Labs: build a training coach, configure knowledge bases from agency SOPs, test citations, and set classification-aware guardrails.

Individual Coaching & Seminars

Program Makeovers: co-design training sequences, certification curricula, and AI-supported workflows for workforce development. Mission-Specific Clinics: acquisition workforce training, cybersecurity awareness, leadership development programs, and citizen-service improvement.

Prompt & Policy Reviews: refine prompts for classification-appropriate content, set boundaries for sensitive information, and add transparency language aligned to agency directives.

Office Hours (Ongoing)Weekly drop-ins for troubleshooting, use-case vetting, and "show and tell". Micro-demos (10–15 min): coach setup, knowledge base updates, analytics reads, security flags. Rapid Iteration: review conversation transcripts, improve prompts, adjust datasets and classification-aware guardrails.

Safety, Ethics, and Compliance

federal-security-aware workflows; dataset scoping, data classification controls, and role-based access. Information security: classification boundaries, CUI handling, and audit trail requirements.

Accessibility by Design: Section 508 practices, captioning, alt text, and inclusive prompt patterns for diverse federal workforce.

What Your Team Walks Away With (Deliverables You Keep)

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

Prompt libraries (workforce training, certification prep, knowledge management) and program-ready templates

Agency policy language, end-user guidelines, and AI usage governance documents

Coach configurations (knowledge bases, classification-aware guardrails, analytics views) for at least one target program

Assessment blueprints: certification prep frameworks, competency checks, and evaluation rubrics

Engagement Model (Hours-Based, Transparent)

Discovery (hours):identify training team needs by office/program; finalize goals and metrics within your ATO boundary

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

Sustain Phase (ongoing hours):weekly office hours, fiscal-year refreshers, and advanced clinics

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

Impact Metrics We Track

Training team adoption & confidence ratings

Program coverage: coaches deployed, knowledge bases configured, guardrails enabled

Workforce outcomes signals: engagement, certification rates, skills-gap trends surfaced

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

Section 508 accessibility and NIST 800-53 compliance checks completed

Why ibl.ai

Mission-first, not hype:workforce readiness, compliance, and measurable outcomes drive the agenda

Hands-on + production-ready:we build with your team, 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 security across LLMs—including air-gapped options

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

Get Started

Office Workshop Pack (hours):2–3 sessions + Q&A for your training team

Program Studio (hours):deep dive for 5–10 priority training programs

Agency Office Hours (retainer):weekly support across fiscal quarters

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

Workforce Enablement — AI Training & Ongoing Coaching for Government Teams

What This Is

Who We Support

Program Pillars

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

Frequently Asked Questions