I got an email this week that made me sit up straight.
A territory manager at a scientific equipment manufacturer read my article on aggressive transparency as a competitive weapon – you know, the one where I argue that publishing your pricing openly makes competitors look like they’re hiding something. He asked a hell of a good question: “How would we show pricing to customers when our equipment can vary by thousands of dollars for small accessories, and we have so many configurations it would be impossible to create a pricing list for every one?” In the past, I would have told him that aggressive transparency has its limits. That some businesses are just too complex for public pricing. But I had a lightbulb moment. This isn’t a limitation of transparency. This is the perfect application for AI – and it could change everything about how complex B2B sales actually work.
The Pricing Problem Most B2B Companies Actually Face
Here’s the thing. A lot of B2B companies – maybe most – have genuinely complex pricing. Not “we want to hide our pricing” complex. Actually complex.
You’ve got custom configurations, variable components, different installation requirements, regional factors, volume considerations, and integration with existing systems. There are a thousand legitimate variables that make “here’s our price” impossible to answer without knowing the specifics of what the customer actually needs.
So what happens? The salesperson says “let me get back to you with a quote.” They go back to the office – or the Batcave, as I like to call it – spend hours building a proposal, send it over, and then wait. Maybe the buyer has follow-up questions. Maybe they want to see what it costs if they change one component. Back to the Batcave.
The whole process takes days or weeks. The buyer can’t comparison shop efficiently. The salesperson can’t adjust on the fly during the conversation. And both sides are frustrated. I’ve been that salesperson, and I’ve been that frustrated.
The traditional “solution” has been to either simplify your offering (which might kill your competitive advantage), accept that you can’t be transparent (which kills trust), or create massive pricing matrices that nobody can actually use. None of those are good options.
What If AI Could Configure and Quote in Real Time?
Here’s what hit me when I read that email.
What if you built an AI configurator – using Claude, ChatGPT, or whatever tool works best for your business – that had all your pricing variables loaded into it? Not as a replacement for your salespeople, but as a tool for them.
Picture this: The salesperson is on a call with a prospect. The prospect describes what they need. The salesperson opens the AI app on their phone (or laptop, or tablet), inputs the variables as the prospect is talking, and gets an accurate quote right there during the conversation.
“Okay, so you need the Model X with the enhanced sensor package, configured for a high-temperature environment, with installation in your Denver facility. Let me check that for you.” Ten seconds later: “That configuration runs $47,300, and we can have it installed within six weeks.”
No going to the Batcave. No “let me get back to you.” No waiting three days for a proposal that might be obsolete by the time it arrives because the prospect’s requirements changed during a meeting you weren’t in. Quote and propose on the spot.
“How Much?” “This Is How Much.”
I’ve been saying for twenty-two years that when a customer asks “how much?” it’s a buying sign. And the best response is simply: “This is how much.”
Not “Well, let me tell you about all the value you’re getting first.” Not “It depends on several factors, let me explain.” Not “Great question – we should schedule a follow-up call to go over pricing.” Just: “This is how much.”
When salespeople use lots of words in between – attempting to ‘build value’ before quoting price – it tells the customer that the salesperson is afraid of their price. And that fear invites negotiation.
For years, the objection I’ve heard is: “But Troy, we can’t quote price on the spot. It’s too complex.”
Now it doesn’t have to be.
An AI configurator doesn’t just solve the complexity problem. It actually discourages negotiation in a way that benefits both sides. When you quote on the spot, the customer sees that you’re not sitting down with your boss trying to figure out “how much we can get them to pay.” It feels cut and dried. Transparent. Fair.
And here’s what most salespeople don’t realize: most people don’t like to negotiate. Millennials and Gen Z – who now represent 71% of B2B buyers – like it even less. They want clear, upfront pricing. They want to make informed decisions without playing games.
When you can say “this is how much” immediately, you’re giving them exactly what they want. And you’re differentiating yourself from every competitor who’s still making them wait.
This Changes the Sales Conversation
Think about what this does for the sales conversation.
For the buyer, they can actually explore options in real time. “What if we went with the standard sensor package instead of enhanced?” “What if we delayed installation until next quarter?” “What about if we ordered two units instead of one?” Each question gets answered immediately, which means they can actually make an informed decision during the conversation instead of playing email tag for two weeks.
For the salesperson, you’re not leaving the conversation to build a proposal. You’re having an actual consultative conversation where you can test different configurations, show value trade-offs, and help the buyer understand what they actually need – all while the buyer is engaged and focused. You’re solving problems together instead of throwing proposals over the wall. And you’re setting a standard that your competitors can’t match while truly earning your spot in the Buyer’s Journey.
For aggressive transparency, you can actually put this configurator on your website. Public-facing. “Configure your solution and see pricing instantly.” That’s aggressive transparency for complex B2B products. Nobody else in your market is doing that. And if your competitors complain that “our pricing is too complex for that,” you can just point to your website and say “ours is too – and we figured it out.”
Yes, But What About…
I know what you’re thinking.
“Troy, that sounds great, but what about all the variables we can’t predict?”
Fair question. And the answer is: you build in ranges for the things you can’t quote precisely, and you make those contingencies explicit.
“The equipment itself is $47,300. Installation will depend on your facility’s electrical configuration, which we’ll need to assess on-site. Based on typical installations, that runs between $8,000 and $12,000. If there are any unusual requirements, we’ll quote those separately before we start work.”
See? Still transparent. Still immediate. Still way better than “we’ll get back to you with a full proposal in a week.”
“But what if the AI makes a mistake?”
Then you test it. Extensively. Before you let salespeople use it with customers, and definitely before you put it on your website. You run hundreds of scenarios. You compare the AI quotes to what your pricing team would build manually. You refine the prompts and the data until it’s reliable. This isn’t “throw AI at the problem and hope.” This is “use AI to solve a specific business problem that humans are currently solving slowly and expensively.”
“Won’t this replace our salespeople?”
No. It replaces the part of their job that sucks – going back to the office to build proposals that the buyer isn’t even sure they want yet. It gives them back time to actually sell. To ask better questions. To understand what the buyer actually needs. To build relationships.
The salespeople who are afraid this will replace them are the same ones who think their job is being the gatekeeper of information. They’re already being replaced – by buyers who would rather research online than talk to someone who won’t give them straight answers. The salespeople who see this as a tool to make them more effective? They’re going to dominate their markets.
This Is New Ground for Everyone, Including Me
This is genuinely new territory. Not just for that equipment manufacturer who emailed me, but for most B2B companies with complex pricing. For me. For the companies I work with. But that’s what makes it exciting.
The companies that figure this out first – that build AI configurators that actually work, that train their salespeople to use them effectively, that maybe even put them on their websites for prospects to use – those companies are going to have a massive competitive advantage. Not because they have better AI, but because they’ve solved the tension between complexity and transparency that their competitors are still using as an excuse to hide pricing.
Start Out By Thinking About Your Variables
If you sell anything with complex, variable pricing, start thinking about this now.
What are all the variables that go into your pricing? Can you list them? Can you define how they interact with each other? Can you build decision trees that handle the most common scenarios?
If you can answer those questions, you can build an AI configurator. Maybe not today. Maybe not next month. But sooner than you think.
And when you do, you’re not just implementing a cool AI tool. You’re changing how your entire market thinks about transparency, speed, and what buyers should expect from salespeople. The competitors who are still making buyers wait three days for a quote are going to look like they’re operating in a different century. Because they are.
Navigating the AI Future in Sales – It’s Not Easy
I’ve written before that AI isn’t everything, and ignoring it is just as dumb. This is what I mean.
AI doesn’t replace sales fundamentals. It doesn’t replace genuine discovery. It doesn’t replace relationship-building or consultative selling. But it can absolutely replace the parts of the sales process that are slow, manual, and frustrating for everyone involved.
Complex pricing configuration is one of those parts. If you’re in a business where “let me get back to you with a quote” is a regular part of your sales vocabulary, you should be thinking about this.
Because somewhere, one of your competitors is. And when they launch their configurator – whether it’s internal for their sales team or public-facing on their website – every conversation you have afterward is going to start with “Well, your competitor showed me pricing immediately…”
You can either be the company that figures this out first, or the company that’s scrambling to catch up.
I know which one I’d rather be.
