BYU Marriott AI Foundry Industry Engagements (Fall 2026 - Spring 2027)
| Program Overview | ||
|---|---|---|
| Program Title | BYU Marriott AI Foundry Industry Engagements (Fall 2026 - Spring 2027) | |
| Organization | Brigham Young University (BYU) | |
| # of Students Enrolled |
0
|
|
| # of Projects Running |
0 Project/s Added (of 10 Projects Expected)
|
|
|
Program Timeline Project Duration |
Start Date: 09/07/26 End Date: 05/07/27 8 months |
|
| Collaboration Overview | ||
|---|---|---|
| About Students |
The AI Foundry team includes approximately 30 builders working in mixed teams across product, engineering, deals, marketing, finance, and design. Each engagement is staffed from this broader bench so that strategy, product evaluation, technical build, quality control, and handoff are integrated into one project team. The program is led by Scott Murff, a former McKinsey & Company consultant, and delivered by a bench of MBAs and undergraduate engineers. The RFP describes the model as combining “MBB-caliber thinking” with AI-accelerated pricing, supported by students with capabilities across product, finance, design, AI tooling, product evaluation, quality control, and applied AI coursework. Students carry academic credit through the AI Foundry Lab, cross-listed as MBA 693R and STRAT 490R. Every engagement has faculty oversight, with product evaluation and quality control built into the Foundry model as a named function rather than an afterthought.
Student Level: Graduate Degree Student Time Commitment: Full Time Team Structure: 2 - 6 |
|
| Program Goals | Through AI Foundry engagements, students will: • Identify real business problems where AI can create practical value
• Evaluate which products, workflows, automations, or internal tools are worth building • Translate ambiguous business needs into scoped technical solutions • Build and ship working software using modern AI-native development workflows • Integrate AI capabilities into existing systems and business processes • Practice product management, engineering, design, finance, marketing, and strategy collaboration • Develop experience working directly with industry stakeholders • Learn how to transfer ownership, documentation, and operating capability to partner teams • Build professional experience delivering real products under faculty oversight and quality control |
|
| Format Structure |
Multiple Projects Multiple Teams |
|
| Format Title | Ai Native Product Studio & Consultancy | |
| Format Description | The BYU Marriott AI Foundry is an official program of the BYU Marriott School of Business designed to help industry partners identify, build, and transfer ownership of practical AI-enabled products and workflows. The program positions itself as “an AI-native product studio and consultancy,” with a focus on building AI products rather than only advising on strategy. The Foundry supports three primary types of engagements: • Full-Stack Applications: Net-new web and mobile applications, including customer-facing products, B2B products, and internal line-of-business systems. • AI Integration and Orchestration: AI wired into existing systems, including agents and copilots that work against company data, workflow automations, and document processing, extraction, routing, and summarization. • AI Enablement and Training: Training and co-working support that helps partner teams learn to build with frontier agent tooling, agentic workflow systems, and the same tools used during the engagement. Engagements are structured around a clear sequence: audit and discovery, build, and transfer. During audit and discovery, the team identifies where AI can create practical value, which products are worth building, and which workflows are worth automating. During the build phase, the team builds and ships working software, not just a report or prototype. During transfer, the Foundry co-works with the partner’s team and hands off ownership so the capability remains in-house after the engagement. The strongest projects are those with a real business problem, an answer that is not already fully specified, and something concrete to ship at the end. Strong fits include net-new or rebuilt applications, workflow automation, agents or copilots over company data, AI integration into existing systems, AI audits, and enablement around real company codebases or workflows.
|
|
| Benefits For Industry Partners | Participating organizations benefit from a practical AI product-building engagement that combines strategy, engineering, and enablement.
Working Software, Not Just Advice The Foundry’s core promise is that every engagement ends with software running in the partner’s hands, distinguishing it from a traditional strategy consultancy.
Strategy and Engineering in One Team The people deciding what to build are also involved in building it, reducing the handoff gap between strategy and delivery.
AI-Native Product Development Partners can pursue full-stack applications, AI integrations, agents, copilots, workflow automations, and document-processing systems grounded in real business needs.
Capability Transfer The Foundry co-works with partner teams and hands off ownership at the end so the capability remains in-house.
High-Value Talent Engagement Partners work with a supervised team of MBA and undergraduate builders across product, engineering, finance, design, marketing, and AI tooling.
Clear Fixed-Fee Structure
Engagements are structured with a fixed fee, defined capacity, and no hourly billing or surprise change orders for work inside the agreed scope. |
|
| Project Modality | Fully Remote | |
| Industry Partner Requirements to Participate | ||
|---|---|---|
| Project Topics | Artificial Intelligence & Machine Learning Data Management Entrepreneurship Growth Strategy Marketing Operations Product Design & Development Reporting, Financial Planning & Analysis Research & Development Research, Analysis, Evaluation Sales & Business Development Software Design & Development Strategic Planning Technology Commercialization | |
| Target Industries | Aerospace & Defense Agriculture & Farming Arts & Recreation Biotech & Pharmaceuticals Computers & Hardware Construction, Repair & Maitenance Consumer Services Education Energy & Utilities Fashion & Apparel Finance Food & Beverage Government Health Care Insurance Manufacturing Media Natural Resources Non-Profit Professional Services Public Works Real Estate Restaurants, Bars & Food Services Retail Semiconductor Software & IT Sports & Entertainment Sustainability & Climate Telecommunications Transportation & Logistics Travel & Tourism | |
| Skills & Expertise | Agentic Workflow Design AI Agents AI Enablement AI Integration AI Orchestration AI Product Development Business Process Analysis Claude Code Codex Copilot Development Data Analysis Data Extraction Data Routing Data Summarization Design Thinking Document Processing Finance Frontier AI Tooling Full-Stack Application Development Handoff Planning Marketing Strategy Mobile Application Development Product Evaluation Product Management Product Strategy Quality Control Software Engineering Stakeholder Communication System Integration Team Collaboration Technical Documentation User Research Web Application Development Workflow Automation | |
| Location Information & Preferences |
Located Anywhere Partners may be located anywhere, provided they can collaborate remotely or hybrid and can provide timely access to systems, data, tools, and decision-makers needed for the engagement.
|
|
| Sponsorship |
Sponsorship Requested (Mandatory):Pre-Revenue Startup an exact contribution amount of $22000.0 Growth Startup an exact contribution amount of $22000.0 Small to Medium Business an exact contribution amount of $22000.0 Large Enterprise an exact contribution amount of $22000.0 Government Organization an exact contribution amount of $22000.0 Non-Profit an exact contribution amount of $22000.0 |
|
| Compensation |
|
|
| Other Requirements | Participating organizations should be prepared to: • Assign a single point of contact with authority to answer scope questions • Hold a standing weekly call of 30 to 45 minutes • Provide data and systems access early, including any necessary accounts • Answer decision requests raised in weekly updates within one week • Participate in phase reviews • Accept public recognition as a partner unless anonymity is requested Partners should also be prepared to clarify confidentiality expectations, provision approved tools or repositories, and support project handoff. The RFP states that partners retain full rights to deliverables, code, models, and documentation, and that every student signs the partner’s NDA or the Foundry’s standard mutual NDA before receiving data.
|
|
| Expected Time Commitment For Project Managers | 2 Hours per week | |
| Key Program Dates | Due Date |
|---|---|
|
Request for Proposal published
Collaboration request published. Industry Partners may express interest in participating.
|
Aug 03 2026, 06:11.51 PM |
|
Interview
Educators will begin interviewing interested Industry Partners to discuss project ideas.
|
Aug 06 2026, 06:11.51 PM |
|
Proposal Application Deadline
Final date for Industry Partners to express interest in participating.
|
Aug 27 2026, 06:11.51 PM |
|
Finalize Project Charter
Educators and Industry Partners finalize project charters, legal documents, and background materials.
|
Aug 31 2026, 06:11.51 PM |
|
Official Program Launch
We’ll find a time on this day for you to meet with the students to kick off your project.
|
Sep 07 2026, 12:00.00 AM |
|
Official Program End
We’ll find a time on this day for you to meet with the students to wrap up your project.
|
May 07 2027, 12:00.00 AM |
Program Timeline
| Touchpoints & Assignments | Date | Type |
|---|---|---|
|
Program Kickoff |
09/07/2026 | Event |
Projects
Filters
| Project | Organization | Topics |
|---|
Program Managers
| Name | Organization |
|---|
Teams
| Team Name | Project Name | Team Members |
|---|---|---|
| No Teams Available |