AI Solutions for Business Growth

Main contact
University Canada West
Vancouver, British Columbia, Canada
Naji Yazdi
MBA Instructor
(7)
6
Timeline
  • July 14, 2025
    Experience start
  • August 26, 2025
    Experience end
Experience
1/2 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Apparel & fashion

Experience scope

Categories
Digital marketing Competitive analysis Market expansion Product or service launch Sales strategy
Skills
business analysis communication master of business administration (mba) presentations teamwork operations artificial intelligence problem solving innovation workflow management
Learner goals and capabilities

As part of their final capstone project, MBA students will collaborate with industry professionals to identify and implement AI-driven solutions tailored to specific small business unit challenges.

Drawing on their advanced business and analytical training, students will assess your organizational needs, explore innovative AI strategies, and apply cutting-edge tools to boost competitiveness. This hands-on experience allows them to tackle real-world problems while helping your business stay ahead in a rapidly evolving market.

Learners

Learners
Graduate
Intermediate levels
40 learners
Project
24-48 hours per learner
Educators assign learners to projects
Teams of 6
Expected outcomes and deliverables

Expected Outcomes for Learners:

  • Gain practical, hands-on experience applying AI solutions to real business challenges
  • Develop skills in business analysis, problem-solving, and AI tool implementation
  • Enhance communication and teamwork by collaborating directly with industry professionals
  • Build a portfolio-worthy project demonstrating applied AI strategy and execution
  • Deepen understanding of how AI can drive value in various business functions

Deliverables for the Employer:

  • A comprehensive report outlining the business challenge, proposed AI solutions, and strategic recommendations
  • A presentation summarizing the AI implementation plan, tools used, and anticipated impact on operations
  • A prototype, workflow, or visual model (where applicable) demonstrating the practical application of the solution
  • Documentation of the development process, including key insights, challenges, and lessons learned
  • A final consultation meeting with learners to review outcomes, gather feedback, and explore future AI opportunities


Project timeline
  • July 14, 2025
    Experience start
  • August 26, 2025
    Experience end

Project examples

  • Comprehensive AI Strategy Report tailored to your business goals and industry challenges
  • Presentation of an AI Implementation Plan outlining tools, timelines, and expected outcomes
  • Development and Documentation of AI Solutions, including process workflows and key lessons learned
  • Market Research on Emerging AI Technologies and their applicability to your sector