In a world where artificial intelligence is no longer a futuristic concept but a strategic business imperative, companies across all industries are rushing to implement AI-powered solutions. But not all AI vendors are created equal.
Choosing the right AI vendor can be the difference between a transformative, ROI-positive solution and a costly misstep. If you’re not deeply technical, the process can feel overwhelming. Terms like “machine learning models,” “vector databases,” or “API integrations” may be outside your comfort zone. Still, with a smart vetting approach, you can make confident, informed decisions.
Here’s a comprehensive, non-technical guide to vetting an AI vendor so you can ensure the solution fits your goals, budget, and expectations.
1. Define Your Business Objective First
Before you talk to vendors, get crystal clear on what you want AI to do for you.
Ask yourself:
What problem am I trying to solve?
What will success look like? (e.g., more leads, less churn, faster processing)
Do I need automation, prediction, personalization, or analytics?
Why this matters: Some AI vendors specialize in narrow use cases (e.g., customer support chatbots), while others offer general-purpose platforms. Knowing your objective helps narrow your search and avoid shiny tech that doesn’t solve your problem.
Pro tip: Vendors that ask you good questions about your goals are often more trustworthy than those that rush to demo their tools.
2. Ask What Kind of AI They’re Using (Without the Jargon)
AI isn’t a single technology—it’s a catch-all for several methods:
Machine Learning (ML): systems that improve with data
Natural Language Processing (NLP): understanding and generating human language
Computer Vision: interpreting visual inputs like images or video
Generative AI: creating content, such as text or images
You don’t need to understand the math. Instead, ask:
How does your AI learn or improve over time?
Is this an off-the-shelf model (like ChatGPT) or proprietary?
How do you prevent inaccurate or biased outputs?
Listen for clarity. If a vendor can’t explain how their system works in plain language, be cautious. Transparency is key to trust.
3. Evaluate Their Track Record
An experienced AI vendor should be able to show proof of success:
Case studies or client references
ROI metrics (e.g., 30% reduction in manual work, 2x conversion rate)
Industries they specialize in
Ask:
Can you walk me through a real client result similar to our use case?
What challenges came up and how did you solve them?
Red flag: If a vendor has many pilot projects but few successful deployments, it may signal they’re still figuring things out.
4. Understand the Data Requirements
AI systems live and die by data. So you need to ask:
What data do you need from us to make this work?
What format does it need to be in?
How is data collected, stored, and secured?
A good vendor will guide you through the data onboarding process and flag any issues with your current infrastructure. You don’t have to be technical, but you do need to know if your team will need IT support, if data cleaning is required, or if you have sensitive information to protect.
Bonus: Vendors who offer tools to help clean and label your data can save you major time.
5. Demand Explainability and Ethics
AI decisions shouldn’t be a black box. Especially when outputs affect customers, hiring, credit scoring, or other sensitive areas.
Ask your AI vendor:
Can we understand why the AI made this recommendation or prediction?
What steps have you taken to ensure fairness and avoid bias?
Do you comply with privacy regulations like GDPR or CCPA?
Look for: vendors that use explainable AI (XAI) methods, audit their models, and have clear ethical AI policies.
6. Review Integration & Usability
You don’t want a powerful system that your team can’t use.
Ask:
How does this integrate with our current tools (CRM, ERP, etc.)?
What kind of training or onboarding do you provide?
Can business users (non-tech roles) use the dashboard or interface easily?
Choose a vendor who values usability just as much as performance. A complex tool that no one adopts will waste your budget.
7. Clarify Support and Ownership
Even the best systems hit bumps. You need to know what happens then.
Ask:
What support do you offer post-implementation?
Is there a dedicated success manager?
Who owns the data and model once deployed?
Some vendors retain control over models or limit your data portability. Make sure you have clarity on ownership, especially if you switch vendors later.
8. Compare Pricing Models
AI vendors may charge based on:
API calls or usage volume
Monthly licensing
Per-seat pricing
Custom pricing based on outcomes (e.g., leads generated)
Ask:
Is there a pilot option before a full commitment?
How do we scale pricing as our usage grows?
Are there any hidden fees (e.g., setup, integrations)?
You want a vendor whose pricing aligns with your scale and ROI expectations.
9. Watch for Overpromises
If a vendor says:
“This will completely replace your team.”
“You’ll rank #1 on Google in a week.”
“The AI never makes mistakes.”
…Run.
No AI system is flawless, and ethical vendors will be honest about its capabilities and limitations.
Instead, look for those who say things like:
“Here’s what it can do well today, and here’s what we’re working on improving.”
“AI will assist your team, not replace them.”
10. Ask for a Demo or Pilot
Before you sign a contract, test it.
Use your own data if possible.
Involve the end users.
Test for edge cases, usability, and support responsiveness.
A paid or free pilot gives you real-world insight into whether the AI vendor delivers as promised.
Final Thoughts: You Don’t Need to Be Technical to Make a Smart Choice
Vetting an AI vendor is about asking the right business questions, not understanding neural networks. Great vendors can explain their solutions in terms of outcomes, integrations, and support.
If you prioritize clarity, ethics, and usability, you can confidently choose an AI vendor that aligns with your goals—without needing a PhD in computer science.
Stratablue helps companies navigate the AI landscape with clarity and strategy. Whether you’re vetting vendors or building a solution from scratch, our team can guide you every step of the way.
Need help choosing the right AI partner? Reach out today.
