Third-Party Risk: New Vendor Onboarding Review
You're a Risk Advisory intern at Grant Thornton, staffed on an engagement for a mid-size\ client. The client's procurement lead describes their current vendor onboarding process: THE PROCESS: A business unit identifies a vendor and emails…
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What You'll Be Doing
You're a Risk Advisory intern at Grant Thornton, staffed on an engagement for a mid-size
client. The client's procurement lead describes their current vendor onboarding process:
THE PROCESS:
- A business unit identifies a vendor and emails procurement with the vendor's name and contact info.
- Procurement creates the vendor in the system and issues a PO — no separate check of the vendor's financial stability, ownership, or sanctions status.
- First payment is made against the PO once goods/services are received.
- Annually, procurement reviews the full vendor list for duplicates.
- There is no requirement to re-verify a vendor once onboarded, even years later.
YOUR TASK:
Identify 2–3 specific risks in this vendor onboarding process, note what could go wrong
for the client (be concrete — financial, reputational, or compliance exposure), and
draft 1–2 sentences per risk that you'd actually say to the client in a findings
readout — plain language, not jargon.
Then record a 2–3 minute video explaining your reasoning, and describe one moment where
you used an AI tool to help think through this and one place where you changed or didn't
trust what it gave you.
What You'll Accomplish
Apply a risk-and-controls lens to an unfamiliar business process
Translate technical risk findings into plain-language client communication
Distinguish between risks worth escalating and routine process variation
Use AI as a thinking aid while retaining independent professional judgment
How Your Work Will Be Scored
What to Submit
Risk Findings Summary
Format: .pdf, .doc, .docx, .rtf, .txt, .md
2–3 risks written in client-ready, plain-language framing
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Video Walkthrough
Format: .mp4, .mov, .webm
2–3 minute narrated explanation of reasoning and AI usage
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