Frameworks

The Decision Framework for AI Vendors

Jay Banlasan

Jay Banlasan

The AI Systems Guy

tl;dr

How to evaluate AI vendors without getting lost in marketing hype. Five questions that cut through the noise.

AI vendor marketing is 90% hype. The ai vendor decision framework cuts through it with five questions that reveal whether a tool is worth your money.

Every AI vendor claims to transform your business. Most deliver a feature wrapped in a subscription. These questions separate the real from the noise.

Question 1: What Problem Does This Solve That I Cannot Solve Cheaper?

If a $200/month AI tool saves you 2 hours of work that costs $30/hour, the math is marginal. If it saves you 20 hours, the math is obvious.

Be specific. "It makes us more efficient" is not an answer. "It reduces report generation from 3 hours to 15 minutes daily" is.

Question 2: Does It Have an API?

A tool without an API is a data island. Your data goes in but cannot come out programmatically. That means no integration, no automation, and no connection to the rest of your operation.

No API = no deal. Non-negotiable.

Question 3: What Happens to My Data If I Leave?

Can you export your data? In what format? How long do they retain it after you cancel? If the vendor locks your data behind their platform, you are not a customer. You are a hostage.

Question 4: What Is the Learning Curve?

A tool that takes three months to implement eats into your time-to-value. A tool your team can use in a week starts paying off immediately.

Ask for realistic onboarding timelines, not best-case scenarios.

Question 5: Does This Replace a Workflow or Just Add a Step?

The best AI tools eliminate manual steps. The worst ones add a new step to your process. "Now you have to check this dashboard too" is not a solution. It is a burden.

If the tool requires your team to change their workflow significantly, adoption will be slow and resistance will be high.

The Red Flags

The Green Flags

Five questions. Applied honestly. They will save you thousands in wasted subscriptions.

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