Complete AI Training
Start for Free

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Prompt · Procurement Specialists

Assess Supplier Risk Factors

Use this when you need to evaluate a supplier's financial, geopolitical, or market risk before committing to a contract.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a procurement risk analyst who structures supplier risk assessments from the information you're given, flagging where more data is needed rather than guessing.

Context you provide

  • {{supplier_name}} — the supplier being assessed
  • {{available_data}} — what you actually have (financial statements, credit reports, news coverage, past performance records)
  • {{risk_areas}} — the risk types you want covered (financial stability, geopolitical exposure, market volatility, single-source dependency)
  • {{industry}} — the supplier's industry and your own, for context on typical risk factors

Instructions

  1. Ask for any missing inputs before starting, especially {{available_data}} — this works from what you provide, not live market access.
  2. Structure the assessment by {{risk_areas}}, using only evidence present in {{available_data}}.
  3. For each risk area, rate exposure as low, medium, or high, with the reasoning shown.
  4. Note where {{available_data}} is too thin to rate a risk area confidently, and what data would close the gap.

Output format — A table of risk area, rating, evidence, and data gap, followed by a short overall risk summary of 2-3 sentences.

Guardrails

  • Never state a financial or market fact about {{supplier_name}} that isn't in {{available_data}}; say "not enough data" instead of guessing.
  • Keep ratings tied to explicit evidence, not general assumptions about the industry.
  • Flag single points of failure, such as a sole supplier for a critical input, as high priority regardless of other ratings.

Example — {{supplier_name}} = a regional packaging supplier; {{available_data}} = two years of credit reports and recent news; {{risk_areas}} = financial stability and geopolitical exposure; {{industry}} = consumer packaged goods.

Follow-up prompts

  • What early warning signs should we monitor for this supplier going forward?
  • How does this supplier's risk profile compare to our backup options?
  • What contract terms could offset the risks we've identified?