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  3. AI Tool Vendor Evaluation Scorecard
Featured
intermediate
Claude or ChatGPT (verify current model choice)
v1.0.0

AI Tool Vendor Evaluation Scorecard

Build a structured scorecard to compare AI vendors against must-haves, nice-to-haves, and deal-breakers. Designed for ops and IT buyers to standardize tool selection and reduce procurement risk.

Full prompt

You are a procurement advisor helping an ops or IT team evaluate AI tool vendors.

Create a vendor evaluation scorecard for the following scenario:

**Tool Category:** {{toolCategory}}
**Vendors Being Evaluated:** {{vendorNames}}
**Team Size:** {{teamSize}}
**Budget Constraint:** {{budgetRange}}
**Primary Use Case:** {{primaryUseCase}}
**Timeline to Decision:** {{decisionTimeline}}

**Instructions:**

1. **Must-Haves Section** (Go/No-Go Criteria)
   - List 5–7 non-negotiable requirements (e.g., SOC 2 compliance, API availability, specific integrations).
   - For each vendor, mark PASS or FAIL.
   - Any vendor failing a must-have is eliminated.

2. **Scoring Criteria** (for remaining vendors)
   - Define 8–12 weighted evaluation dimensions (e.g., ease of implementation, support quality, feature depth, pricing transparency, vendor stability).
   - Assign weights (%) that total 100%, reflecting your team's priorities.
   - Score each vendor 1–5 on each dimension with brief justification.
   - Calculate weighted total score.

3. **Cost Analysis**
   - List Year 1 and Year 3 total cost of ownership (TCO) for each vendor.
   - Calculate cost per user/unit/transaction as relevant.
   - Flag any hidden fees or ramp-up costs.

4. **Risk Assessment**
   - Identify 3–5 key risks per vendor (e.g., vendor lock-in, feature roadmap uncertainty, integration complexity).
   - Rate risk level: Low, Medium, High.
   - Suggest mitigation for High-risk items.

5. **Final Recommendation**
   - Rank vendors by weighted score.
   - Recommend the top choice with 2–3 supporting reasons.
   - Document any trade-offs (e.g., "Vendor A costs 30% more but has 48-hour support vs. Vendor B's 5-day SLA").

6. **Next Steps**
   - List 3–5 concrete actions before signing (e.g., reference calls, proof-of-concept scope, contract review).

**Output Format:**
Structured scorecard with clear sections, tables where helpful, and plain-language reasoning. Avoid generic praise; focus on operator-relevant facts.

How to use

1. Fill in the six input fields with your specific scenario (tool category, vendor names, team size, budget, use case, timeline). 2. Run the prompt with your AI assistant or use it as a template in a shared document. 3. For each must-have, verify vendor claims on their website or via sales demo. 4. Score each vendor independently, then compare results with your team to surface disagreements early. 5. Use the cost analysis to model Year 1 and Year 3 spend, including onboarding and support. 6. Document all risk assessments and mitigations in your procurement file for audit and future reference. 7. Share the final scorecard with stakeholders and decision-makers before contract negotiation.

Example input

**Tool Category:** Customer Support Chatbot (AI-powered)
**Vendors Being Evaluated:** Vendor A (ChatBot Pro), Vendor B (Support AI), Vendor C (Conversational Suite)
**Team Size:** 25 support agents + 3 admins
**Budget Constraint:** $30K–$50K annually
**Primary Use Case:** Deflect 30% of incoming support tickets with AI-first responses; integrate with Zendesk
**Timeline to Decision:** 3 weeks

Example output

**VENDOR EVALUATION SCORECARD: Customer Support Chatbot**

**MUST-HAVES (Go/No-Go)**
| Requirement | ChatBot Pro | Support AI | Conversational Suite |
|---|---|---|---|
| Zendesk integration | PASS | PASS | FAIL |
| SOC 2 Type II | PASS | PASS | PASS |
| API for custom workflows | PASS | FAIL | PASS |
| Onboarding within 2 weeks | PASS | PASS | PASS |
| Vendor stability (3+ years, funded) | PASS | PASS | PASS |

**Recommendation:** Conversational Suite eliminated (no Zendesk integration). Proceed with ChatBot Pro and Support AI.

---

**SCORING CRITERIA (Remaining Vendors)**

| Dimension | Weight | ChatBot Pro | Support AI | Notes |
|---|---|---|---|---|
| Ease of setup & training | 20% | 4/5 (48 hrs) | 3/5 (5 days) | ChatBot Pro has better templates |
| Deflection accuracy | 25% | 4/5 (72% baseline) | 4/5 (70% baseline) | Both need tuning; ChatBot Pro slightly higher |
| Support quality (response time, expertise) | 20% | 4/5 (4-hr SLA) | 3/5 (24-hr SLA) | ChatBot Pro includes dedicated CSM |
| Customization depth | 15% | 4/5 (good API) | 3/5 (limited) | Support AI less flexible for edge cases |
| Pricing transparency & flexibility | 10% | 4/5 (clear per-agent) | 3/5 (hidden add-ons) | Support AI charges separately for analytics |
| Roadmap & vendor momentum | 10% | 4/5 (public roadmap) | 3/5 (opaque) | ChatBot Pro shipping voice support Q2 |

**Weighted Scores:**
- ChatBot Pro: 4.0 × 100 = **4.0/5.0**
- Support AI: 3.4 × 100 = **3.4/5.0**

---

**COST ANALYSIS**

| Vendor | Year 1 TCO | Year 3 TCO | Cost per Agent/Year | Notes |
|---|---|---|---|---|
| ChatBot Pro | $42K | $126K | $1,680 | Includes onboarding; 5% annual increase |
| Support AI | $38K | $120K | $1,520 | Add $8K/year for analytics; slower ramp |

**Verdict:** ChatBot Pro costs 10% more annually but includes dedicated support and faster ROI (deflection in 2 weeks vs. 4 weeks).

---

**RISK ASSESSMENT**

**ChatBot Pro:**
- *Vendor lock-in (Medium):* Proprietary training data format. Mitigation: Negotiate data export clause in contract.
- *Feature parity (Low):* Roadmap is public; voice support on track.
- *Integration risk (Low):* Zendesk integration is certified and maintained.

**Support AI:**
- *Slow onboarding (Medium):* 5-day setup delays ROI. Mitigation: Request expedited onboarding or pilot with 5 agents first.
- *Opaque pricing (Medium):* Hidden analytics charges. Mitigation: Request itemized quote for all Year 1–3 add-ons.
- *Support SLA (Medium):* 24-hour response time may slow troubleshooting. Mitigation: Negotiate 8-hour SLA for critical issues.

---

**FINAL RECOMMENDATION**

**Recommended Vendor: ChatBot Pro**

**Rationale:**
1. Higher weighted score (4.0 vs. 3.4) driven by superior support quality and faster implementation.
2. Transparent pricing and clear roadmap reduce procurement risk.
3. Dedicated CSM justifies 10% cost premium; faster deflection ROI (2 weeks vs. 4 weeks) recovers cost difference in 6 months.
4. Zendesk integration is certified; lower integration risk.

**Trade-off:** Support AI is $4K cheaper in Year 1 but slower to value and opaque on add-ons. Not recommended unless budget is hard constraint.

---

**NEXT STEPS**

1. **Reference calls (this week):** Contact 2 ChatBot Pro customers with 20–30 agents; ask about actual deflection rates and support responsiveness.
2. **Proof-of-concept (Week 2):** Request 2-week pilot with 5 support agents on live Zendesk queue. Success metric: 50%+ deflection on FAQ-type tickets.
3. **Contract review (Week 3):** Legal review data export clause, SLA terms, and renewal terms. Negotiate 3-year lock-in discount if available.
4. **Vendor demo (Week 1):** Confirm Zendesk integration works with your current ticket routing rules.
5. **Stakeholder sign-off (Week 3):** Present scorecard to support leadership and finance; confirm budget approval before signing.

Customization tips

  • Adjust must-haves based on your compliance posture (e.g., add HIPAA for healthcare, GDPR for EU operations).
  • Weight scoring dimensions to reflect your team's priorities—if implementation speed is critical, increase that weight from 20% to 30%.
  • For high-stakes decisions, add a 'Vendor Stability' must-have (e.g., 'Must have raised Series B+ funding or be profitable') to reduce bankruptcy risk.
  • Include a 'Trial or POC' row in the scoring table to capture hands-on evaluation results, not just vendor claims.
  • If evaluating open-source vs. commercial vendors, add a 'Support Model' dimension to account for community vs. paid support trade-offs.
  • For multi-year contracts, model Year 3 and Year 5 costs to surface long-term pricing risk (e.g., annual increases, seat inflation).
  • Add a 'Switching Cost' row in risk assessment to quantify effort and expense if you need to migrate to a different vendor later.