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UVA students deliver AI readiness reports, use case analyses, and adoption strategies, offering fresh insights to enhance decision-making and drive business growth.
Artificial intelligence Data analysis Market expansion Operations Training & development
Projects start on October 13, 2026
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Interested in this experience?

Join as an employer to request a match, or join as a learner to access projects. Learn more
Timeline
  • October 13, 2026
    Experience start
  • October 24, 2026
    Kickoff Meeting Summary Submission
  • October 27, 2026
    Project Plan Development
  • November 3, 2026
    Status Update
  • November 10, 2026
    Draft Final Deliverable
  • November 14, 2026
    Experience end

About this experience

Contact
She / Her / They / Them
Administrator
(68)
Learner skills
prompt engineering large language modeling strategic thinking artificial intelligence consulting project management business communication
What learners can do

The AI4VA: UVA AI Readiness Career Academy is designed to create dual impact: participating organizations gain practical, actionable guidance on adopting AI to create business values and students graduate with stronger, demonstrable AI skills.


Unlock AI Potential for Your Small Business with Student Consultants

Through 4-week, team-based projects, UVA students will apply foundational AI processes to real organizational challenges. This hands-on consultancy is designed for businesses and not-for-profit organizations eager to explore how AI can enhance decision-making, streamline operations, improve customer experiences, and drive growth. Employers benefit from fresh perspectives, structured analysis, and tailored recommendations that support responsible and effective AI adoption.


Each project functions as a mini-consulting engagement, blending AI processes with business problem-solving to help organizations identify use cases, map workflows, test solutions, and develop implementation strategies.


About the Learners

Learners participating in this program are motivated UVA students who bring foundational knowledge in strategic thinking and applied problem-solving.


Students are organized into teams of 5, with each team supported by an assigned Project Manager to ensure progress, communication, and deliverable quality throughout the experience.


Project Details

  1. Project timeline: 4 weeks, from October 19 to November 13, 2026, although students will reach out the week of October 12 to schedule a kick off meeting for the week of October 19.
  2. Project hours: 16 hours per learner
  3. Team structure: Teams of 5 learners (including a Project Manager)
  4. Team assignment: Managed by UVA and the Riipen program team to ensure balanced skillsets across groups


Student teams will collaborate with your organization to:

  1. Assess AI readiness and identify high-impact opportunities for adoption
  2. Recommend tailored AI tools and integration strategies
  3. Deliver actionable insights in areas such as marketing, finance, customer success, operations, HR, product innovation, and e-commerce
  4. Develop training resources to help your team confidently adopt AI solutions


Employer Role

In this experience, your organization serves as the client while students act as AI consultants. Employers provide the real-world business challenge, context, and access needed for teams to develop meaningful recommendations.


Expected involvement:

  1. Point of Contact - Provide a point of contact designated to responded to student messages within 24 hours.
  2. Project Kick Off - Attend a kickoff meeting with the student team within the first week of the project. Share organizational context, goals, and current processes.
  3. Weekly Meetings - Attend a meeting each week of the 4 week project to receive status updates from the team and provide feedback on progress.
  4. Access & Compliance - Provide access to necessary tools, credentials (read-only where possible), and data.
  5. Feedback - Provide feedback to learners on final deliverables within five business days of submission.
  6. Final Presentation - Attend the final presentation to review recommendations, ask questions, and provide closing feedback.


Employer Eligibility:

  1. Virginia-based employers
  2. Complete employer verification through Persona
  3. Sign program agreements within the Riipen platform


How learners and employer interact

Participating employers commit 4-5 hours of time during the project period. Up to 2 teams are assigned per project, and individual deliverables are provided per team.

Communication between employers and learners must remain on platform. Weekly meetings are required between employers and learners to ensure the project is on track to be completed within the 4 week timeline.

Experience
8 projects wanted
Agreements required
Preferred companies
Virginia, United States
Any company type
Any industries

What learners can deliver

Expected outcomes and deliverables

Depending on your project scope, student teams may provide:

  1. AI readiness assessment report
  2. Identified use cases with impact analysis
  3. Recommended AI tools and adoption roadmap
  4. Workflow maps highlighting automation opportunities
  5. Implementation considerations and risk factors
  6. Training guides to support internal adoption
  7. Final presentation summarizing insights and recommendations
Learners
Undergraduate
Beginner, Intermediate levels
75 learners
Project
16 hours per learner
Educators assign learners to projects
Teams of 5
Up to 2 team(s) or 10 learner(s) per project.
One project per learner
Project timeline
  • October 13, 2026
    Experience start
  • October 24, 2026
    Kickoff Meeting Summary Submission
  • October 27, 2026
    Project Plan Development
  • November 3, 2026
    Status Update
  • November 10, 2026
    Draft Final Deliverable
  • November 14, 2026
    Experience end

Projects you can submit

Projects should focus on exploring how AI can create measurable value for your organization through a consultative approach, focusing on strategic evaluation and tool benchmarking, rather than technical software development or AI model engineering.


Please see the five project streams for this program below. While these streams provide the framework for each engagement, the specific project examples are illustrative and will be tailored to address your organization's unique goals. Given the 4-week timeline, each engagement should focus on one clearly scoped problem within a stream rather than covering multiple angles.


1. AI in Organizational Strategy & Impact

  1. Analyze a specific workflow or decision-making process to identify where AI could add value.
  2. Benchmark 2 to 3 AI tools against a defined organizational need (e.g., resource allocation, market analysis) and recommend a path forward.


2. AI in Data & Analytics

  1. Evaluate AI tools to clean, categorize, or tag a defined dataset (e.g., donor records, sales logs) and recommend an approach to reduce manual effort.
  2. Consult on a Generative AI approach to summarize a specific data set or build a lightweight dashboard concept for decision support.


3. AI in Operations & Process Automation

  1. Map one to two time-consuming manual workflows and recommend specific AI tools to reduce bottlenecks.
  2. Evaluate automation tools (e.g., AI-powered scheduling or document processing) for a single high-impact use case.


4. AI in Marketing & E-Commerce

  1. Evaluate tools to enhance marketing personalization for a specific channel or campaign.
  2. Audit one manual creative workflow (e.g., ad variations, product descriptions) and recommend Generative AI tools to scale it.


5. AI Literacy & Enablement

  1. Design a starter set of AI usage guidelines for a specific team or function.
  2. Support a pilot group with prompt engineering basics and responsible AI practices.

Required questions for companies

Companies matching with this experience will answer these questions.

  • This is a Student-led experience. It is designed to provide meaningful opportunities to engage with learners while keeping your time commitment manageable.

    As an employer, you will:

    1. Participate in key project milestones, including kickoff meetings, progress check-ins, and final presentations or reviews.
    2. Provide feedback throughout the project to help guide learner work and ensure deliverables remain aligned with your goals.
    3. Connect with learners in ways that work for your team, through a combination of live meetings and asynchronous communication.
    4. Review final deliverables and provide brief feedback on learner performance and project outcomes at the end of the experience.


  • Q1 - Checkbox
    I understand that I must provide ongoing mentorship and guidance to the student(s) working on my project(s), be responsive to questions, check in on progress, and provide any tools or resources needed to complete the project.  *
  • Q2 - Checkbox
    I confirm that I can work with up to 10 learners for this project, across two teams.  *
  • Q3 - Checkbox
    I will evaluate the students' final project submissions within 5 business days, offering individual feedback on the platform that can be utilized by the students to strengthen their resumes, LinkedIn profiles, and overall professional development.  *
  • Q4 - Checkbox
    I confirm my organization can provide necessary assets, documentation, and access by September 1st, 2026.  *
  • Q5 - Checkbox
    I confirm that I have read and understand the Agreements of this program.  *
  • Q6 - Text long
    Will students need access to any internal systems, software, or programs to complete your project (e.g., company tools, platforms, secure environments)?  *
  • Q7 - Multiple choice
    My project requires an NDA to be signed by learners.  *
    • Yes
    • No
  • Q8 - Text long
    Please confirm that the project stages and deliverables (not individual tasks) are clearly defined before the match and will remain consistent throughout the project  *
  • Q9 - Text short
    Please confirm that all communication with students will take place exclusively on Riipen  *