Your Vendor Says They Are “AI-Powered” But What Does That Mean?

Almost every software renewal notice will likely include the same phrase: the platform is now powered by AI. This could include your phone system, your CRM, and your website, among others. The price often goes up along with the label.

It can feel like every vendor now sells AI-powered software. Some of those claims describe real improvements. Others describe the same product with a new sticker on the box. Business leaders need a way to tell the difference without a computer science degree. This guide gives you one.

What “AI-Powered” Can Mean

No rule defines when a vendor can call its product “AI-powered software.” In practice, the label covers three very different things.

Rebranded automation: The product follows rules a person wrote, such as “flag any invoice over $10,000.” That is useful, but it has existed for decades. Nothing in it necessarily learns or adapts.

Added chatbot: The vendor connected a general-purpose AI model to its existing product. You get a chat window or a “summarize” button. The value depends on how well it connects to your actual data and the quality of your prompts.

Core AI: The product relies on models trained for a specific job, such as spotting fraud or predicting equipment failure. Remove the AI and the product stops working.

All three can be worth paying for. Just don’t confuse core AI with rebranded automation while you’re evaluating that renewal.

Why the Label Deserves a Second Look

Overstating AI capabilities is common enough to have a name: AI washing. It is also common enough to draw federal attention. In 2024, the Federal Trade Commission launched Operation AI Comply, a sweep targeting deceptive AI claims. The cases have continued since. In 2025, the agency finalized an order against a company that misrepresented the accuracy of its AI detection tool.

Regulators can only catch so much. For everything else, the buyer must ask good questions.

How to Evaluate AI Vendors: Five Questions to Ask

You can use these in a sales call, a renewal conversation, or an RFP. A credible vendor will answer all five without hesitation.

What specific task does the AI perform?
Ask for a plain sentence, such as “it reads incoming invoices and matches them to purchase orders.” Vague answers about “intelligence” or “insights” are a warning sign. If the vendor cannot name the task, the AI is probably decoration.
What happens to our data?
This is the most important question on the list. Find out whether your data is used to train the vendor’s models. Ask where it is stored and which third-party AI providers can see it. Then get the answers in the contract. Schools, municipalities, and regulated businesses should treat this as a requirement.
How do you measure accuracy, and what happens when it is wrong?
Every AI system makes mistakes. Ask whether a person reviews the output before it affects a customer, a payment, or a student record. Good vendors know their error rates and can explain how they test.
Can we turn it off? Is pricing based on usage?
These may seem like unrelated questions, but some vendors bundle AI features into a mandatory price increase. Ask whether those AI features are optional and if pricing is flat or based on usage. Usage-based AI pricing can grow quickly once a team adopts the tool.
Can we talk to a customer like us?
A polished demo proves very little. Ask for a reference customer of similar size in a similar industry. Then ask that customer what changed in their daily work. Better yet, run a pilot with your own data before you commit.

Red Flags Worth Noticing

A few patterns should slow any purchase down:

The vendor cannot explain the AI without buzzwords
Accuracy claims come with no evidence behind them
The data policy is missing, vague, or “coming soon”
The demo uses perfect sample data and never yours
The sales pitch leans on fear of falling behind

One red flag is a reason to ask more questions. Several together are a reason to walk away.

Start With the Problem

The best protection against AI hype is knowing what you need before the sales call starts. Write down the business problem first. Then judge any AI-powered software by whether it solves that problem at a fair price. A tool that saves your team ten hours a week is worth buying, with or without the label.

At Macro Connect, we help organizations sort through these decisions every day. We review vendor claims, check how tools handle data, and build AI plans around real business goals. If a vendor pitch has left you with more questions than answers, let’s talk.