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The Old SaaS Playbook is Dead. The Rampd AI Discovery Process

Title: The old SaaS playbook is dead. The Rampd AI discovery process
Read time: 4 min
Something I thought I'd never say, the way we run discovery and qualification has fundamentally changed. And it's a direct result of what we’ve heard from prospects on our clients sales calls
.Here's what's driving it.
Most companies have an initiative to adopt AI into their workflow. The challenge is that a big chunk of those companies have no idea where to apply it or how. The question we hear on calls is some version of, how are your other customers actually integrating AI into their businesses?
They're not coming in with a problem they need solved. They're looking for a map on how to think about AI and where it fits. So when you get on a discovery call you're not just qualifying a buyer anymore. You're educating them, helping them identify where AI actually fits in their business, and then drilling down on a specific business case that creates enough of a wedge to drive internal buy in and move the deal forward.
Buyers have been trained on the old SaaS playbook, which was straightforward. You have a problem, we have a solution, the software solves it, let's move forward. Clean, simple, easy to navigate. That playbook has changed because AI is new enough that most buyers haven't connected the dots between what the technology can do and where it fits inside their specific operation.
The delta between the two is now your job to close during discovery. So we’ve restructured the disco and how we coach clients to run discoveries in the age of AI.
Here's what that looks like.
Step one: The preamble
The preamble is the most underrated part of the discovery call and most people skip it entirely. What it does is set the tone for everything that follows. You take control of the conversation naturally, convey that you know what you're doing, and give the prospect visibility into how the call is going to run so they feel at ease.
When someone gets on a call and doesn't know what to expect they spend the first ten minutes with their guard up. The preamble dissolves that. It tells them here's what we're going to cover and here's what you're going to walk away with. That framing changes the entire energy of the conversation.
“Hey Name, I appreciate you hopping on today. I’m excited to learn more about your team, what you’re working through, and see if (Company Name) might be able to help.
How’s everything going on your end?
Awesome. I know we’re both busy, so I’d love to jump right in.
Does that sound good?
Here’s how I’d like to use the 30 minutes today.
I’d love to start with a quick overview of what we built and where we’re seeing AI create the most impact for teams like yours. Then I’d like to spend most of the call understanding your workflows, where things may be manual or inefficient, and where AI could potentially create leverage.
Toward the end, I can give you a quick preview of the platform through a simple use case simulation. If there’s alignment, the next step would be a more tailored demo based on what we learn today.
Does that sound fair?”
Step two: Company brief
Before you start asking questions give a quick overview of what your company does and the use cases you typically work on with customers. Keep it tight. This isn't a pitch, it's context. You're giving the prospect just enough to start connecting dots between what you do and what might be relevant to their world.
Remember they came in asking how other companies are applying AI. This is where you answer that question before they even have to ask it. When they hear a use case that sounds familiar they lean in on their own. That curiosity is what opens the door into the next part of the conversation.
“Before I start asking you a bunch of questions, it may be helpful to give you a quick overview of what we do and how other companies in this space are using our technology.
A lot of teams we speak with are interested in AI, but they don’t always know exactly where it should plug into their workflows. So what we typically do is help them identify the highest-leverage use cases, and show them how AI can be applied in a practical way.
Where we’re seeing companies get the most value is around three areas.
First, (Use Case 1).
Second, (Use Case 2).
Third, (Use Case 3).
So with that context, I’d love to ask you a few questions about how things work today on your end, where there may be friction, and where this could potentially be relevant for your team.
Sound good?!!”
Step three: Quantifying questions (MEDDPICC / BANT)
Now you go deep. Budget, decision makers, timing, internal champion, existing vendors, competition. You know the drill.
But AI sales has an additional layer that most people miss. You need to understand where they think AI can have the biggest impact in their business and what they've already tried. That's how you find the wedge, the specific use case you're going to build the entire business case around. If you fail to nail this you're walking into a demo with no leverage. You're showing a product to someone who hasn't yet connected it to their problems.
Step four: Recap
Before you move forward repeat back what you heard. It shows the prospect you were genuinely listening, validates your understanding, and gives them the chance to correct anything that's off.
Don’t forget to do this, or rush past this step. The recap is what builds the trust that sets up everything that comes next.
Step five: Demo preview
This is not a full demo. Think of it like a movie trailer, just enough to satisfy their curiosity and make them want to see more.
Two and a half to three minutes max. Before you share your screen set the context. Something like, based on what you shared with me it sounds like this team is dealing with these two challenges and the downstream impact is this. What I want to show you right now is how we've helped other companies in a similar situation solve that exact problem. Then show them just enough to make them want the full picture and to be excited to show up for a full demo.
Here’s a quick preview of how this would work in practice.
“Rather than walking through the entire platform, I’ll use a simple example so you can see how the technology applies to a real workflow.
Let’s say we’re working with a (Title) at a (Company Type). Their team is struggling with (Pain Point 1), (Pain Point 2), and (Pain Point 3).
The downstream impact is that (Impact 1), (Impact 2), and (Impact 3).
Where our platform plugs in is by helping them (Outcome 1), (Outcome 2), and (Outcome 3).
At a high level, the workflow looks like this.
First, (Step 1).
Then, (Step 2).
From there, (Step 3).
And the end result is (Business Outcome).”
Step six: The next step
From there you use the momentum of what you just showed them to set up the full customized demo. Something like: I think the natural next step is to put together a customized demo where I can walk you through exactly how this works in your environment. Does that sound fair?
Simple, collaborative, no pressure. Most prospects say yes because by this point you've earned enough trust that the next step feels like the obvious move.
The takeaway
If your conversion rate from discovery to demo isn't where you want it to be right now, this is probably why. The buyer has changed and the playbook has to reflect that.
Your job in discovery isn't just to qualify anymore. It's to meet the prospect where they are, curious but uncertain, educate them, identify the right wedge, validate the business case, and earn the right to go deeper.
When you run it in sequence: preamble, company brief, quantifying questions, recap, demo preview, next step, you walk out of every call with clarity on where the deal stands and a clear path forward.
This is a million dollars worth of ARR in a four minute read.
See you all next week!
Darren
P.S. If you're selling AI and your pilot to close rate isn't where it needs to be, the fix is almost never the product. It's the sales motion underneath it. Let's build it here.

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