Claude Vendor Evaluation Checklist: 50 Questions Before You Buy

Why Vendor Evaluation Matters (More Than You Think)

Enterprise teams often skip vendor evaluation, assuming they know what they need. They have a use case, they've heard Claude is good, and they want to move fast. So they evaluate Claude in 2-3 weeks and deploy.

This is expensive. Here's why: LLM vendors differ dramatically on security, support, roadmap, and reliability. Two vendors might look identical on feature set, but one has SOC2 certification and audit rights, while the other doesn't. One supports your SSO provider natively, while the other requires custom integration. One commits to data residency in your region, while the other processes all data in the US.

These differences don't matter until they become blockers. Then you're either ripping out Claude and replacing it (expensive), or retrofitting controls that cost more than the licensing fees (expensive). Or you're waiting months for the vendor to add a feature you needed from day one (slow).

This checklist prevents that. It forces you to ask the 50 questions that matter before you buy, not after. It maps each question to the evidence you need. And it tells you how to score vendor responses so the best vendor wins, not the vendor with the best pitch.

Why Vendor Evaluation Matters for AI Specifically

AI vendor evaluation is different from traditional software evaluation. Here's why:

Vendors differ dramatically on model capability. Claude vs. other LLMs (Llama, GPT-4, etc.) have different accuracy rates for different tasks. If you choose the wrong model for your use case, you'll be unhappy from day one. You need to test the models yourself — don't trust vendor benchmarks.

Cost scales with usage. API vendors charge per token. Token consumption is hard to predict. You need clear cost models and examples: "For this customer service use case, you'll consume X tokens/month and spend $Y." Get pricing examples before you commit.

Data handling is complex. Different vendors have different data retention policies, training data opt-out options, and compliance certifications. One vendor might be fine with GDPR, while another isn't. You need clarity on data handling before you start sending real data to the vendor.

Integration effort varies. API vendors require engineering effort. Some APIs are simple to integrate (REST + authentication), while others require custom code. You need technical review before committing — a "simple API" from a vendor might actually be complex for your stack.

This is why evaluation takes time and why you should never skip it.

The 50-Point Vendor Evaluation Checklist

This checklist is organized into five categories: Security & Compliance (15 questions), Technical Capabilities (12 questions), Support & SLA (10 questions), Pricing & Commercial Terms (8 questions), and Implementation & Success (5 questions).

SECURITY & COMPLIANCE (15 questions)

1. Does the vendor have SOC2 Type II certification?
2. Is the SOC2 audit current (within last 12 months)?
3. Does SOC2 cover all the controls relevant to your use case (security, availability, confidentiality)?
4. Can you request a copy of the SOC2 report?
5. Does the vendor provide a Data Processing Addendum (DPA) for GDPR/CCPA compliance?
6. Does the vendor provide a Business Associate Agreement (BAA) for HIPAA data?
7. Is encryption in transit required (TLS 1.2 minimum)?
8. Is encryption at rest required (AES-256 minimum)?
9. Can you specify data residency (US, EU, specific region)?
10. What's the default data retention period, and can you request deletion sooner?
11. Can you opt out of your data being used to improve the vendor's models?
12. Does the vendor carry cyber liability insurance, and what's the minimum coverage?
13. Can you audit the vendor's security controls or request third-party audits?
14. What's the vendor's incident response timeline if your data is compromised?
15. Does the vendor publish a transparency report on government data requests?

TECHNICAL CAPABILITIES (12 questions)

16. What models does the vendor offer, and which is recommended for your use case?
17. What's the accuracy/quality of the model for your specific task (test with your data)?
18. What's the maximum input token length, and does it support long documents?
19. Is the API REST-based or require custom SDKs?
20. What programming languages are supported (Python, Node.js, Java, etc.)?
21. Can you call the model with function calling / tool use capabilities?
22. Does the vendor support batch processing, or is it real-time API only?
23. What's the API rate limit, and can you request higher limits for volume?
24. Does the vendor offer webhook support for async processing?
25. Is there a staging/sandbox environment to test integration before production?
26. What's the uptime SLA for the API (99.5%? 99.9%?)?
27. Does the vendor provide API status page and incident tracking?

SUPPORT & SLA (10 questions)

28. What support tiers does the vendor offer (free, basic, premium)?
29. What's the first-response time for support tickets (free vs. premium)?
30. Is 24/7 support available for critical issues?
31. How do you escalate urgent issues (ticket system, phone, dedicated contact)?
32. Does the vendor provide a dedicated support team or account manager?
33. What's the vendor's documented SLA for resolving critical incidents?
34. Does the contract include credits if uptime SLA is breached?
35. Is documentation complete and regularly updated?
36. Does the vendor offer pre-implementation consultation (architecture design, etc.)?
37. Does the vendor publish a roadmap, and how often is it updated?

PRICING & COMMERCIAL TERMS (8 questions)

38. What's the pricing model (per-user, per-token, per-API call)?
39. Is there a free tier, and what are its limitations?
40. Are there volume discounts, and at what volume do they kick in?
41. What's the minimum commitment (month-to-month, annual, multi-year)?
42. Can you scale usage up/down mid-contract without penalty?
43. What happens if you exceed estimated usage (overage charges, caps)?
44. Is there a trial period, and what's included?
45. What are the contract terms for termination (notice period, early exit fees)?

IMPLEMENTATION & SUCCESS (5 questions)

46. Does the vendor offer onboarding support (setup, initial configuration)?
47. Does the vendor provide training for your team?
48. Are there success metrics and how does the vendor track them?
49. Does the vendor have case studies or reference customers in your industry?
50. What's the vendor's typical time-to-value for your use case?

Scoring the Checklist: How to Make the Final Decision

Once you've asked all 50 questions, you need a way to score and compare vendors. Here's a framework that works:

Step 1: Assign question weights by importance to your organization.

Don't treat all questions equally. If you're in a regulated industry (finance, healthcare), Security & Compliance questions (1-15) are more important than Implementation questions (46-50). If you're a startup with limited budget, Pricing questions (38-45) are more important. Adjust weights to match your priorities.

Example weights for a regulated enterprise:

• Security & Compliance: 35% (questions 1-15 count heavily)
• Technical Capabilities: 20% (questions 16-27)
• Support & SLA: 20% (questions 28-37)
• Pricing: 15% (questions 38-45)
• Implementation: 10% (questions 46-50)

Step 2: Score each vendor 1-5 on each question.

• 1 = Vendor fails to meet requirement or no answer provided.
• 2 = Vendor partially meets requirement, significant gaps remain.
• 3 = Vendor meets requirement adequately, no major concerns.
• 4 = Vendor exceeds requirement, includes bonus features/support.
• 5 = Vendor far exceeds requirement, sets best-in-class standard.

Step 3: Calculate weighted score for each vendor.

Multiply each score by the question weight, sum them up, divide by total possible points. This gives you a 0-100 score.

Example: If Security questions are 35% of total weight and vendor scores 18 out of 25 possible points on those questions: (18/25 × 35%) = 25.2 points toward final score.

Step 4: Document the rationale.

For each vendor, write 2-3 sentences explaining the score. "Claude scores 5 on Security & Compliance (SOC2 certified, DPA included, audit rights). Scores 4 on Technical Capabilities (excellent API, high token limits, good documentation). Scores 4 on Support (free tier available, 24-hour response time, good SLA). Scores 3 on Pricing (token pricing clear but volume discounts unclear). Overall score: 4.2/5."

Step 5: Compare vendors side-by-side.

Create a simple table: Vendors as columns, scoring categories as rows, weighted scores in cells. Add an "overall score" row at the bottom. This makes the winner obvious and gives you evidence for stakeholder conversations.

Pro tip: If two vendors have similar overall scores, look at the "Security & Compliance" category. The vendor winning on security usually wins overall, because security problems are expensive to fix post-purchase.

Common Vendor Evaluation Mistakes (And How to Avoid Them)

Mistake 1: Skipping security review because the vendor is "well-known."

Popular vendors often have weaker security postures than you'd expect. Just because 1,000 companies use a vendor doesn't mean it's secure. SOC2 certification, audit rights, and data handling clarity are non-negotiable. If a vendor can't provide these, they're not enterprise-ready, no matter how popular they are.

Mistake 2: Evaluating on features instead of fundamentals.

Organizations often get excited about feature comparisons: "Claude can do X, Llama can do Y." But features change monthly. What matters is: security, support, roadmap credibility, and vendor stability. A vendor with weaker features but stronger fundamentals is a better long-term choice.

Mistake 3: Not running a POC before deciding.

Vendor claims don't match reality. "Our model works great on your use case" doesn't mean it will. Run a 2-week POC with your data on your task. Measure accuracy, cost, and integration effort. POC costs 2-3% of total implementation cost but prevents 80% of post-implementation regrets.

Mistake 4: Choosing based on price alone.

The cheapest vendor is rarely the best vendor. Cheap vendors often have weak support, longer implementation cycles, and higher integration costs. A 20% more expensive vendor with strong support might actually be cheaper long-term. Score vendors holistically, not just on price.

Mistake 5: Not documenting your requirements.**

Many organizations evaluate vendors without a clear requirements document. They ask questions ad-hoc and don't document vendor responses. Create a formal requirements doc before evaluation starts. Score vendors against documented requirements, not gut feel. Document everything. When a vendor doesn't meet a requirement, have the evidence in writing.

RFP vs. POC: When to Use Which

Use an RFP when:

• You're comparing multiple vendors and need apples-to-apples responses.
• You have procurement rules that require formal vendor evaluation.
• Your use case is complex and requires detailed technical spec from the vendor.
• You need contractual commitments (SLA, support, roadmap) before signing.

Use a POC when:

• You want to test vendor capability on your specific data/task.
• Integration complexity is unknown and you need to validate it.
• You're choosing between 2-3 finalists based on real performance.
• You need evidence for internal stakeholders (board, security team) that the vendor works.

Best practice: Do both. RFP first, then POC with finalists.

RFP clarifies capabilities and eliminates vendors that don't fit your requirements. POC validates that the finalists actually work for your use case. Together, they reduce risk significantly.

Involving External Consultants in Vendor Evaluation

Should you hire a consultant to help with vendor evaluation? Here's when it makes sense:

Hire a consultant if:

• Your organization lacks AI/ML expertise and needs technical guidance.
• You're comparing multiple vendors and want an independent assessment.
• You need to negotiate contract terms and want leverage.
• Your procurement process is formal and requires external validation.
• You have complex security/compliance requirements that need specialist review.

Don't hire a consultant if:

• You're evaluating a single vendor (Claude only) with straightforward requirements.
• You have strong internal technical and security teams that can evaluate independently.
• You have a tight timeline and can't wait for external resource onboarding.
• Budget is constrained and evaluation overhead is a concern.

Consultants typically cost $10-20K for a full evaluation (RFP through vendor selection). This is 5-10% of typical LLM implementation budgets, but it's only worth it if you're making a complex decision with high stakes.

After Vendor Selection: Integration and Onboarding

Once you've selected a vendor (e.g., Claude), the evaluation framework doesn't end. You'll continue using it during onboarding and integration:

• Validate claims: Vendor said "integration takes 2 weeks." Measure actual time and document gaps.
• Test support: During onboarding, open a support ticket and measure response time. If response time is slower than promised, escalate immediately.
• Verify SLA: Once in production, monitor uptime against the vendor's SLA. If they breach SLA, claim credits immediately.
• Track metrics: Measure the vendor's success criteria (accuracy, cost, adoption). Compare actuals to the POC results. If results are significantly worse, investigate with the vendor.

This post-selection validation ensures the vendor delivers on promises and catches problems early.