Welcome to the AI Implementation Team
This is it: Summit Workplace Solutions has three competing proposals for a new AI project, but budget and approval for only one. As the final AI Implementation Team, you will select a project, design it end-to-end, and deliver a evidence-based recommendation to leadership — applying everything from the past eight lessons.
Your assignment
You will work through the full lifecycle of one AI project: choosing it, defining success, designing the prompt, mapping the workflow, protecting the data, building in guardrails, evaluating sample outputs, assessing risk, planning oversight, and delivering a final recommendation with evidence. This is a longer, deeper challenge than earlier lessons — treat it like real project work.
How this capstone is scored
Your 100-point score covers ten areas: problem & tool selection, prompt quality, workflow design, data protection, guardrails, output evaluation, risk management, human oversight, final recommendation, and reflection & completion. Written responses (your prompt, your justifications, your reflection) are graded for completion, not for the quality of your reasoning — this static site cannot judge reasoning quality, so your teacher will review those parts directly.
Essential question
Given everything you've learned this semester, what does it actually take to take an AI project from proposal to a responsible, ready-to-launch recommendation?
Estimated time
This is the longest lesson in the course, in 13 steps. Your progress is saved automatically — expect this to take more than one sitting.
Everything You'll Draw On
This capstone doesn't teach new vocabulary — it asks you to apply what you already know. Here's a quick reminder of where each part of the capstone connects back.
Stage 1–3: Define the Project
Three departments submitted proposals this quarter. Review all three, then answer the questions below.
Stage 4: Design Your Prompt
You're building the prompt that will power the ticket-triage assistant. Check every element that should actually be included.
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Stage 5: Sequence the Workflow
Put the stages of this project's data/API/application workflow in the correct order.
Correct order (fill top to bottom)
Available stages
Stage 6–7: Protect the Data
First, select only the database fields this tool actually needs. Then identify which data types are private, confidential, or regulated.
Which fields should the AI tool receive?
Which of these are sensitive and must be protected?
Stage 8: Establish Guardrails
Check every guardrail that should actually be built into this system.
Stage 9: Evaluate Sample Outputs
Here are two AI-drafted responses from a test run. For each, decide whether it's ready to send after human review, or needs revision — and identify the main issue.
Stage 10: Assess the Risks
For each risk, rate its likelihood and its impact.
Stage 11: Plan Human Oversight & Incident Response
Check every action that belongs in this project's oversight and incident-response plan.
Stage 12: Final Recommendation
Here's where the project stands as it heads to leadership.
Your recommendation:
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Stage 13: Cumulative Knowledge Check
A final set of questions drawing on the whole course.
Final Reflection & Completion
0 characters · 0 sentences detected (need at least 2)
Your capstone rubric results
Total: 0 / 100
Capstone complete
Verification ID:
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