Prepare
Normalize requirements, scoring definitions, assumptions, and proposal sections.
01 · Workflow
From vendor polish to defensible buyer review.
Use only approved, non-confidential inputs and a model permitted by your organization. Keep every conclusion connected to source evidence, stated assumptions, and evaluator review.
Extract
Identify claims, evidence, exceptions, dependencies, and unanswered requirements.
Compare
Build a source-based cross-vendor view without assigning final scores.
Validate
Human evaluators verify citations, test vendor claims, correct errors, and decide.
02 · Prompt example
A prompt designed for traceability.
The full product vision includes editable prompts, preparation sheets, clarification trackers, AI-use logs, and model-specific setup guidance.
Requirement evidence map
For each requirement, locate the vendor's explicit response. Return: requirement ID; exact evidence; source section; stated limitation; missing information. Do not infer compliance. Mark any unsupported conclusion as "not established."
Before using the output
- Confirm every quotation against the source
- Check tables, appendices, and exceptions
- Remove AI-generated scoring suggestions
- Route ambiguities back to evaluators
03 · Example output
What the workflow produces.
A concise working artifact, not an automated award recommendation.
| Requirement | Evidence status | Reviewer action |
|---|---|---|
| SSO integration | Supported; implementation dependency noted | Validate dependency and timeline |
| Data residency | Partial response; region not specified | Submit clarification question |
| Implementation capacity | Claim provided; evidence absent | Request references and staffing plan |
04 · What's included
What this playbook includes.
A product-ready structure for an AI vendor evaluation playbook, AI vendor evaluation scorecard, and vendor clarification log template.
| Component | Included detail | Purpose |
|---|---|---|
| Use case | AI-assisted proposal and vendor evidence review | Compare responses without letting AI decide |
| Intended user | Sourcing lead, evaluator, procurement operations | Support buyer-side evaluation discipline |
| Required inputs | Requirements, proposals, scoring criteria, approved source files | Keep outputs grounded in evidence |
| Output artifacts | Scorecard, evidence map, clarification tracker, decision brief | Create reusable review materials |
| Review controls | Citation checks, unsupported-claim flags, human approval points | Prevent false precision |
| Escalation points | Missing evidence, risk-shifting terms, vague assumptions | Route issues to accountable reviewers |
| Related playbooks | Procurement, RFP, NDA, compliance, renewal | Connect the full buying workflow |
05 · Guardrails
Built for buyer-controlled use.
No final decisions
AI organizes evidence; accountable evaluators determine meaning, scores, and outcomes.
Source-linked claims
Every material observation must be traceable to an approved proposal source.
Approved tools only
Sensitive proposal content belongs only in systems authorized for that data.
Free buyer-side preview
Download free kit ↓Take the playbook and editable workbook with you.
Illustrative concept content only. This playbook does not provide procurement, legal, security, or compliance advice and should be adapted to applicable policies and professional requirements.