Education
that adapts as
quickly as the industries it serves

Real-Time Learning  |  Real-World AI

Key Elements of the Pilot

Our work brings AI into creative workflows, builds adaptive education models, and delivers tailored solutions for employers.

Applied AI for Creative Workflows
Education rooted in real creative processes (storytelling, design iteration, branding), not abstract case studies.‍
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The Living Education Model
Curriculum updated continuously with AI signals + employer input, ensuring it stays current and relevant.
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Custom Employer Solutions
Bespoke training experiences and custom built AI agents tailored to workforce priorities, with adoption support.

Creative as the Launch Pad

Generative AI is already changing how creative work gets done. Marketing teams are using AI for campaign concepts, designers are accelerating iterations, and media professionals are automating production tasks.

  • High visibility of change
    AI adoption is especially noticeable in creative roles from marketing to design to media.‍
  • Demand is strong
    Labor market research shows rapid growth in AI + creative roles. Adoption anxiety, limited time, and need for direct application increase urgency.‍
  • Cross-functional workflows
    Creative processes touch multiple disciplines, making them ideal for demonstrating applied AI.‍
  • A scalable model
    ‍    What we learn in creative will inform a framework that adapts to other industries where RIT has strengths and employer demand.
Brief Development
Personas & Processes
Content Creation
Presentation Prep
Lexicon Building
Pitching & Persuasion
Storytelling
Copywriting
Branding
Market Research
Campaign Development
Leadership & Motivation
MESSAGING
EXPERIENCE DESIGN
DESIGN ITERATION
Journey Mapping
Visual Storyboarding

Targeted Workflows

A creative workflow is a series of steps that move a team from idea to execution. By mapping these workflows, we can identify natural points where AI becomes an amplifier.

Validated by Research
Increasing icon
Analysis of more than 44,000 U.S. job postings since 2021 shows rising demand for skills that combine generative AI with creative problem solving, copywriting, and design.
Workflow icon
Mapping of 22 distinct creative workflows such as campaign development, storytelling, prototyping, and media production revealed where AI skills are being integrated into day-to-day practice.
Raise icon
Salary data indicates that creative roles requiring AI skills now average over $100,000 annually, underscoring how employers are willing to pay a premium for professionals who can apply AI in context.
*This research was conducted by our team using Lightcast labor market analytics.

Work-Integrated Learning

  • Learning by doing
    Learners strengthen best practices while integrating AI directly into real workflows. The approach is applied, not isolated, and designed to evolve as industry needs change.
  • Led by practitioners
    Developed and taught by active creative professionals (RIT alumni Thérèse Hannigan and Chris Petescia).
  • Grounded in the field
    Prominent alumni and industry professionals share authentic client work, ensuring relevance and transferability.‍
  • Connected to RIT
    Faculty voices link the program to the College of Art and Design, adding perspective and depth from RIT’s creative heritage.

The Living Education Model in Action

Traditional curriculum might update every couple of years. Our model updates continuously to match the pace of industry change. Unlike static coursework, this approach treats education as a living system:

  • AI agents scan for new tools, practices, and trends, surfacing what is emerging.
  • Human experts review these signals and translate them into practical updates.
  • Employers validate that outcomes align with real-world challenges and workforce needs.

This partnership creates shorter, high-impact learning cycles that fit professional life. Learners do not just acquire new tools. They apply them in ways that enhance creative work, leadership, and problem solving. We will routinely capture what learners use and where workflows shift, then adjust cases, tools, and exercises in cycle.

Professionals can return, refresh, and refine their skills over time, ensuring they remain current, adaptable, and ready to lead in a fast-changing world.

Living education model
Creative team

Custom Employer Solutions

For employers, our work goes beyond courses. We design applied AI solutions that address real business needs, including:

  • Bespoke training aligned with workforce priorities
  • Custom AI agents tailored to specific workflows and use cases
  • Adoption support through short trainings, step-by-step guides, and regular update cycles

An Emerging Example

The Challenge
We are working with a major employer whose senior leaders hold decades of knowledge and are nearing retirement. Their departure risks the loss of critical insights and practices that define the brand.
The Opportunity
We will be developing AI agents that capture this expertise and transform it into a searchable, usable resource, giving current and future teams faster access to insights and stronger collaboration.
The Solution
By pairing bespoke training with these custom AI agents, the organization can preserve institutional knowledge, strengthen workforce capability, and ensure continuity while enabling innovation.
The Broader Need
This challenge extends far beyond one employer. Nearly 25% of the U.S. manufacturing workforce is 55+ and nearing retirement, facing similar risks when undocumented workflows and knowledge disappear.