The buzz around Artificial Intelligence (AI) in the workplace is deafening. New tools are launching at lightning-fast speed, promising efficiency, cost-savings, and innovation. It feels like if you’re not implementing the latest software, you’re already behind.
But here’s a reality check: blindly chasing the shiny new AI tool can actually cost you sales.
I’ve been in the marketing space since the MySpace era, and I’ve learned that a tool is only as good as its thoughtful implementation. After sitting through countless AI demos, I’ve distilled the process down to three non-negotiable questions you must ask any software provider before you sign on the dotted line.
1. Can You Set Parameters for the Responses, and What are the Disclaimers?
When you integrate an AI chat service or a content generation tool, you are essentially letting a piece of code speak for your brand. This is a massive risk if you don’t have control over the output.
The Sales Killer: Imagine a potential client asks your new AI chatbot, “What is the best car for my family of four?” If your company sells Ford, but the AI, having access to the vast public internet, recommends a Honda—you just lost a sale.
What to Ask:
- Can the AI be restricted or heavily weighted toward our internal data first? You must ensure it can confidently answer product-specific questions, like “Can the Ford Explorer pull a trailer with two ATVs?”, using only your validated product specs.
- What disclaimers are in place? For your own protection and to set client expectations, ensure the tool allows for a clear, persistent disclaimer that informs users they are talking with an AI and that the information may not always be 100% accurate.
2. Who Owns the Data, and Is Our Proprietary Information “Ringfenced”?
This question is about intellectual property and competitive advantage. The data your company feeds into an AI tool is your gold mine—don’t let the vendor use it to train your competitors.
The Liability: Many AI vendors use the data you input to continuously train and improve their public models. This means the proprietary strategies, sales language, and customer insights you put in could be unwittingly shared with everyone else using the platform.
What to Ask:
- Will our data be used to train the general, public-facing model? The answer must be a clear “No.”
- Is our data “ringfenced?” This simple term means your data is isolated, protected, and stored in a secure environment that is separate from the vendor’s other clients and their general public models. If they can’t explain a robust security protocol and data ownership policy, walk away.
3. How Does the Tool Integrate on Both Mobile and Desktop—Without Slowing Down Your Site?
You bought AI to increase sales, but a clunky, slow-loading integration is the fastest way to lose sales. This is a technical question with massive marketing implications.
The Conversion Killer: We live in a mobile-first world. If your site’s load speed slows down from two seconds to five seconds or more because of a poorly optimized AI tool, your customer is hitting the back button. Every second counts.
What to Ask:
- How does the AI specifically integrate with our existing CRM and marketing tools? Ensure it’s a seamless integration, not a clunky workaround.
- What is the impact on site load speed, especially on mobile devices? Ask for recent case studies and performance metrics to prove their integration method (e.g., API vs. embedded code) won’t cause customer bounce due to slow performance. You need speed and flexibility.
The Takeaway: Invest Smart, Not Fast.
The AI revolution is real, but a quick purchase can become a long-term liability. Before you get caught up in the hype, take a breath, and ask these three critical questions. Your sales and your proprietary data are too valuable to compromise.
