Bring us a real business problem — we’ll build an AI solution with you.
The MS-AIB Capstone pairs sponsor organizations with student teams to deliver applied, business-ready AI outcomes (LLM/agentic workflows, analytics, automation, evaluation, and governance) over a semester-long engagement.
Why sponsor an MS-AIB capstone?
Get an applied AI build, a business case, and a pipeline to top talent — with faculty oversight and structured milestones.
Business-ready outcomes
- Prototype / demo (LLM app, agent workflow, model, dashboard)
- Feasibility + ROI narrative
- Deployment considerations (data, security, governance)
Low-lift for sponsors
- Dedicated point-of-contact + scoped requirements
- Weekly/biweekly sponsor sync (you choose)
- Clear artifacts for handoff and future build
Talent & brand impact
- Early access to skilled candidates
- Visibility on campus and in program showcases
- Support mindful / responsible AI practice
Good project fits
We can support a range of AI-in-business initiatives. The best projects have a clear owner, clear business question, and a feasible data path.
Examples (adapt as needed)
- Agentic process automation: multi-step workflows (intake → triage → draft → review → route)
- LLM copilots: search + summarize + cite internal knowledge (policies, tickets, SOPs)
- Analytics & forecasting: demand, churn, capacity, risk, pricing, anomaly detection
- Customer/employee insights: sentiment, topic modeling, VOC, call/email mining
- Evaluation: LLM quality metrics, guardrails, bias/fairness checks, red teaming
- Data strategy: data product roadmap, governance, KPI design, experimentation plans
What we typically need from sponsors
- Point-of-contact (decision-making + availability)
- Data access plan (sample data early; secure access later)
- Constraints (privacy, compliance, tools, cloud restrictions)
- Success criteria (what “good” looks like)
Timeline & process
A simple, repeatable workflow to keep projects scoped and moving.
Submit idea
High-level problem, context, and sponsor contact info.
Scope & feasibility
We align on goals, constraints, data, and deliverables.
Team match
Student team assigned; kickoff meeting + cadence set.
Build & handoff
Prototype, documentation, final showcase, and transition plan.
Milestones (typical)
- Week 1–2: discovery + scoping
- Week 3–5: solution design + data pipeline
- Week 6–9: build + iterate + evaluation
- Week 10+: final demo + handoff package
Handoff package (typical)
- Demo / prototype (code or tool workflow)
- Technical notes + architecture
- Business narrative (value, costs, risks)
- Next steps roadmap
Submit a capstone project idea
Fill out the form below. If you already have a formal intake form (e.g., Google Form), link it and we’ll route it.
Contact
- Program: MS-AIB (W. P. Carey School of Business, ASU)
- Faculty lead: Dr. Sang-Pil Han (placeholder text — edit as desired)
- Email: capstone-contact@asu.edu (replace)
- Official Program Page: wpcarey.asu.edu → MS-AIB
Downloads
FAQ
Common questions from sponsor organizations.
Do we need to share sensitive data?
No. Many projects can start with de-identified samples or synthetic data. We can scope to constraints and discuss guardrails early.
What tools do teams use?
Depends on sponsor constraints. Common options include Python, notebooks, cloud services, enterprise LLM platforms, and automation tools. We can adapt to your environment.
How much time is required from the sponsor?
Typically 30–60 minutes per week or every other week, plus quick async feedback. The point-of-contact’s responsiveness matters more than meeting length.
What do we get at the end?
A working demo/prototype, documentation, a business case narrative, and a transition plan. Exact artifacts are scoped at kickoff.