Procurement teams are increasingly under-resourced relative to the volume of vendor decisions they oversee. AI compresses the research and analysis phases substantially. The negotiation and relationship work stays human. Here is the workflow.
1. Vendor research and scoring. Quickly assess vendors against your criteria using public information.
2. Contract review preparation. AI flags concerning clauses for legal review — does not replace legal, but focuses their time.
3. Negotiation strategy briefs. Structured analysis of leverage, alternatives, and likely counter-offers.
4. Supplier scorecard generation. Quarterly vendor performance summaries.
5. RFP scoring. Apply weighted criteria to vendor responses systematically.
I am evaluating [VENDOR NAME] for [USE CASE]. Our requirements: [LIST] Our budget range: [BUDGET] Our company stage: [STAGE] Who currently uses this vendor (if known): [REFERENCES] Research and return: 1. Vendor company background (size, funding, stability) 2. Product strengths and weaknesses (from G2, Capterra, Reddit reviews) 3. Customer concentration risk (do they depend on a few big customers?) 4. Recent product/pricing changes 5. Compatibility with our existing stack 6. Realistic 3-year total cost of ownership 7. Switching cost if we needed to leave 8. Recommendation (proceed / proceed with conditions / pass) with reasoning Flag anything that requires direct conversation with the vendor or references to confirm.