Who Needs This AI Vendor Evaluation Checklist (And When to Use It)
You’ve got three, maybe four AI vendors in your inbox right now. Each one has a slick demo. Each one claims they’re the best fit. And you’re supposed to figure out which one is telling the truth before you sign a contract that locks you in for a year.
This ai vendor evaluation checklist is built for business owners and ops leaders at companies with 10 to 500 employees who are comparing AI platforms or consulting partners. Use it when you’ve narrowed your options to 2-5 vendors and need a structured way to compare them without getting lost in feature lists that all sound the same.
Print it. Share it with your team. Score each vendor. The one with the highest total isn’t automatically the winner, but you’ll have something concrete to argue about in your next leadership meeting instead of going with whoever had the best sales pitch.
Technical Fit and Integration
This is where most evaluations fall apart. A tool can be brilliant in isolation and completely useless if it doesn’t connect to the systems you already run.
| Check | What to Verify | How to Confirm |
|---|---|---|
| [ ] | Integrates with your current CRM, ERP, or core business systems | Ask for a live integration demo with YOUR stack, not a generic one |
| [ ] | Supports your data formats and volume without custom engineering | Send them a sample dataset and ask them to process it during the eval period |
| [ ] | API availability and documentation quality | Have a technical team member review their API docs for 30 minutes. If the docs are confusing, the integration will be worse. |
| [ ] | Can handle your current data volume AND 2x growth | Ask about pricing and performance at double your current usage |
| [ ] | Works within your existing security and compliance requirements | Request their SOC 2 report, data processing agreement, and compliance certifications before the second call |
A side note here: vendors love to say “we integrate with everything.” That phrase means nothing. Push for specifics. Which version of Salesforce? Which QuickBooks tier? The details matter more than the claim.
Pricing Transparency and Total Cost
The sticker price is never the real price with AI vendors. You need to dig into what’s underneath.
| Check | What to Verify | How to Confirm |
|---|---|---|
| [ ] | Clear, written pricing with no hidden per-seat or per-API-call fees | Ask: “What would my bill look like at 50 users and 10,000 monthly transactions?” |
| [ ] | Implementation costs are quoted separately and capped | Get the implementation estimate in writing with a not-to-exceed clause |
| [ ] | Ongoing costs (training, support, updates) are defined | Ask what happens after go-live. Is support included or billed hourly? |
| [ ] | Contract length and exit terms are reasonable | Read the cancellation clause before you read anything else in the contract |
| [ ] | You understand what triggers overage charges | Ask them to walk you through their last three clients’ first invoices vs. quotes |
We’ve seen companies at Tiger Tail get burned by vendors who quote $3,000/month and deliver $8,000 invoices because of usage-based pricing tiers nobody explained clearly. Get the math on paper before you sign.
Vendor Track Record and Support Quality
Past performance isn’t a guarantee, but it’s the best signal you’ve got.
| Check | What to Verify | How to Confirm |
|---|---|---|
| [ ] | References from companies your size and industry | Ask for 2-3 references and actually call them. Ask what went wrong, not what went right. |
| [ ] | Vendor has been in business for 2+ years (or has serious backing) | Check Crunchbase, LinkedIn company page, and recent news |
| [ ] | Support response time is defined in the SLA | Look for specific hour commitments, not “priority support” |
| [ ] | Dedicated point of contact during and after implementation | Ask who your day-to-day contact will be and whether that changes post-launch |
| [ ] | Product roadmap aligns with your future needs | Ask what’s shipping in the next 6 months. Vague answers mean vague plans. |
AI-Specific Performance and Accuracy
This section is the one most generic checklists skip, and it’s the one that matters most for AI purchases specifically.
| Check | What to Verify | How to Confirm |
|---|---|---|
| [ ] | Accuracy/performance metrics on tasks similar to yours | Ask for benchmark results on your use case. If they can’t provide them, ask for a paid pilot. |
| [ ] | The AI model can be fine-tuned or customized for your data | Ask what customization looks like and what it costs |
| [ ] | Clear explanation of how the AI makes decisions | If they can’t explain it in plain English, that’s a red flag for when something goes wrong |
| [ ] | Data privacy: your data isn’t used to train their models for other clients | Get this in writing. Not in a FAQ. In the contract. |
| [ ] | Human oversight is built into the workflow | Ask what happens when the AI gets it wrong. If the answer is “it doesn’t,” run. |
AI accuracy degrades over time if nobody’s watching it. Ask every vendor what their monitoring and retraining process looks like. The good ones will have a clear answer. The bad ones will change the subject.
How to Score Your Vendors
You’ve got 20 checklist items above. Here’s a simple framework for turning those checkmarks into a decision.
For each item, score the vendor 0, 1, or 2:
- 0 = They can’t do this, or they can’t prove they can do this
- 1 = They can do it with caveats, workarounds, or additional cost
- 2 = Clear yes, confirmed with evidence
32-40 points: Strong candidate. Move to pilot or contract negotiation.
20-31 points: Gaps exist. Identify which gaps are dealbreakers for your specific situation and which you can live with.
Under 20 points: Walk away or ask them to come back when they can check more boxes. Seriously.
One thing worth flagging: a vendor who scores 25 but nails the five items that matter most to your business might beat a vendor who scores 35 but is weak in your critical areas. Context matters more than totals. Use the score as a starting point for conversation, not as a final verdict.
Get a Custom AI Vendor Evaluation for Your Business
This checklist gives you the framework. But if you want someone to sit across the table from these vendors with you, ask the hard questions, and translate the technical answers into business terms, that’s what we do at Tiger Tail.
Book a free AI audit and we’ll help you map your specific needs to the right vendor, so you stop comparing feature lists and start comparing actual fit for your business.