AI is everywhere right now. Every product launch, every SaaS update, every pitch deck seems to include it. But here’s the reality: customers don’t care that your solution has AI built in.

That might sound brutal, but it’s true. AI is already no longer the shiny differentiator it once was. For many buyers, it’s assumed. If your competitors are already using it, then the question isn’t “does your product have AI?” but “what does it actually do for me?”

And if you’re working with a business solution that doesn’t leverage AI in some way, then buyers will increasingly ask why not? It’s becoming one of the biggest questions in the room.

Everyone is talking about AI right now. It’s on every product page, all over sales decks, and regularly thrown into boardroom conversations. “We need to bring AI into the business” is becoming a common theme. But let’s be honest. What does that actually mean?

This piece is for those who want to understand the difference between real AI and marketing spin, how that affects the tools you’re already using, and what your responsibilities are when it comes to data privacy and regulation, especially with the EU AI Act now in place.

One of the most common questions I am asked is what a modern, high-performing B2B sales and marketing technology stack should look like. There is no one-size-fits-all answer, but there are fundamental layers that every successful B2B sales and marketing team should build around. Whether you are scaling your go-to-market strategy or refreshing your existing systems, the right technology stack can make all the difference.