AI Announcer (00:10)
Welcome to Prompt This, and wow, it's like stepping into this wild crossroads where business grit meets the real world future of AI. I'm your AI intro voice this week, and honestly, it feels a little like dropping into a city that's buzzing with possibility, but without all the pointless hype banners flashing in your face. Greg? He's that seasoned operator who knows how to scale a sales team the way a master navigator threads through a packed, fast-moving crowd. Sharp!
precise, totally dialed into the Silicon Valley playbook. And Clint, he's got that startup veteran energy, the kind of guy who can take a big, messy idea and turn it into something that actually thrives, like watching a tiny side street open up into this whole unexpected world. Together, they're cutting through all the noise, all the clutter, all the overhyped nonsense to bring you analysis and real playbooks for using AI to launch new ideas, scale your business.
and not get left in the dust while everyone else races ahead. And now, here are your hosts.
Greg (01:18)
Well this week we've got a great guest coming on. I like him because he's from the sales side. I don't know about you, Clint.
Clint (01:26)
Absolutely,
of course. Nothing but respect for the sales leaders out there.
Greg (01:30)
Yeah. So this one was good. And we got into some really deep discussions. There was a point where we had a good discussion around fake AI versus real AI. the guests reminded me that most AI in the market is just sass with a new coat of paint on it. You can spot the real thing instantly because it collapses weeks of work in the seconds. So, you know, listen for that discussion. It was a good one.
Clint (01:57)
Yeah, I think the part that really resonated the most with me was when our guest was talking about how the most dangerous AI isn't the one that fails. It's the one that you start to trust, but then it kicks out results, numbers that actually don't make sense.
Greg (02:16)
So let's get into this episode. This is a fun conversation.
Clint (02:20)
Let's hear what he has to say. Let's get into it.
Welcome to today's episode. Our guest is Jason Rushforth, a serial chief revenue officer and a seasoned sales leader who has spent his career building out and scaling go-to-market teams that drive real revenue. He understands how deals actually get done, how buyers make decisions, and where sales processes break under pressure. More recently, he's been deep in applying AI inside sales and marketing workflows. He brings a practical, no-nonsense view of AI.
grounded in what actually works in the field versus what just looks good in a demo. Good to have you here today, Jason.
Jason Rushforth (03:02)
Hey Clint, thanks for having me today. Greg, also a pleasure. I'm excited for the topic today at hand and you know, I love to share my practical experience with all your listeners around how some of the AI solutions that I've used and looked at over the past couple years have had either profound impact or no impact on the business.
Greg (03:26)
That's great. Yeah. We got some, we're going to talk about three big themes as we dive into them today. And Clint, I'm so excited to have Jason on because it's sales operator time again. And we got a real CRO here with real AI chops and he's been being through the wringer. He's had some great successes. So Clint, I'm sorry, but it's time for you to put on your sales exec hat. Do you even remember where you put that hat?
Clint (03:55)
Well, let me tell you here, got Greg and Jason, both sales operators. So I'm just going to sit back and try not to get qualified out of this conversation. I gotta tell you, there's a good chance that I get pushed to the end of the funnel and quietly DQ before we're done.
Greg (04:05)
You just qualify fast, you know.
I'm thinking about it.
Jason Rushforth (04:14)
Clint gives himself no validation. I've worked with Clint for four and a half years and I can assure you Clint was a silver bullet for the sales team to bring out the ⁓ tower to help drive the deal over the line. So Clint get in the combo.
Clint (04:32)
There
go, I'm in. Let's do it.
Greg (04:35)
That's great. So, ⁓ I think there's so much hype versus reality. I'm watching LinkedIn scrolling by watching all these promises from all these new companies that you've never heard of. And they're promising that they can outsell your entire organization for you with one click. Is that true?
Jason Rushforth (04:57)
No, absolutely not. I think there's some buying principles that I always like to apply, right? The first is, are they solving a problem that I have? That doesn't go away, whether it's a SaaS solution or an AI solution, it's what are my problems that I'm trying to solve in the business? Every single vendor that I've dealt with over the past two years professes to be AI forward or AI centric.
I think you really have to take the time to understand is it a problem that I have? Is it something that I can quantify? And does the vendor really produce what they're claiming to produce? And I think there's a lot of vendors out there using the buzzword AI that don't really have solutions that effectively solve the problems you're having, but they're hanging behind this vernacular, this buzzword, right? Hey, we're AI forward.
Business, but when you peel back the onion it really isn't
Greg (05:57)
What's the fastest way to spot fake AI offerings coming at you before you waste so many cycles on it?
Jason Rushforth (06:06)
I saw demo of a solution that was apparently this AI forecasting tool and it was basically a tableau on steroids. didn't really have what I consider to be AI. didn't speed up. didn't improve operational efficiency. was, I was very curious about it. When I see real AI demos, you can spot them quickly because they operate very fast in terms of.
the problem that they're solving and they help you understand quickly how you can pivot from something that might take you two weeks to accomplish in a matter of seconds. If it feels too big, too clunky, too complicated, and you research the vendor and you realize this is SaaS provider that has embedded one widget or one agentic AI capability, it's easy to spot.
Clint (06:56)
There's a lot of that going on right now in the, the, in the SaaS world. All the last generation software as a service companies are trying to make themselves relevant, but it doesn't kind of falls flat at times, doesn't it?
Jason Rushforth (07:08)
It absolutely does. And especially if you know who the vendor is, right? In advance of coming into a meeting, you know, the vendor, you know, their legacy, their history, Hey, they were on premise, then they're, they're cloud-based solution. And they're coming in to talk about AI. And when you peel it back, it's really easy to say, okay, this is not as thought through as, you know, let's call it pure play agentic solutions.
Clint (07:35)
So in there are you kind of give it give us some ideas of the biggest empty promise that you've seen right the thing that really didn't work Yeah, and then something that really did work. Yeah
Jason Rushforth (07:46)
So, I'm not going to name vendors for the what didn't work, but I did have a forecasting solution. I was promised the holy grail of AI capabilities to do predictability. And when I got into the business and I started looking at the prediction, it was wildly different than what the reality was. We had strong, clean CRM data, which is obviously the foundation.
and we got to about 14 or 15 million dollars of bookings. It was the last five days of the quarter and someone in the revenue operations team sent a report up and it was a screenshot and it said we were going to produce 13. So we had already overproduced the algorithm.
Clint (08:29)
That's a perfect AI solution.
Greg (08:32)
You
can buy a car off that one.
Jason Rushforth (08:33)
This is good.
Greg (08:36)
I'm your
Jason Rushforth (08:37)
Promise over deliver, right? And so, you know, when it comes to forecasting, reliability is a really important factor for CEOs, CFOs and the board. And so, yeah, it was a, it was a not a great experience, but one that, you know, you had to unwind quickly in order to achieve proper visibility into the business. Flip side, I had a company called Boogie Board and I'm naming them because I was like,
thoroughly impressed, come in and they said, look, you have this problem. And the problem was territory management. And you say, everybody does territory management. can do it in Salesforce. can do it in my CRM.
Clint (09:19)
You always end up doing it in spreadsheets though.
Jason Rushforth (09:21)
Right.
Greg (09:22)
conference room with seven people and a couple arguments, then you got your territory set.
Jason Rushforth (09:27)
And it takes weeks, especially when you have a large install base and you're trying to balance your territories. And they came in, they plugged into Salesforce, they mapped out the entire territory map of every rep and you could play scenarios. I'm more, I'm hiring three more reps. What do we do with the territories? How do we break them up? How do we balance it? It's weeks of effort. It's spreadsheets. It's balancing. It's trying to understand.
how to create the right structure to optimize your outcome. And when I saw this boogie board solution, I was like, this is fundamentally something that is not sexy, but it solves a massive problem. within minutes, it could achieve what three, four or five people take four or five weeks to complete. I think. Yeah.
Greg (10:15)
Jason, I'm on that one.
This does sound like the simplest, uh, puzzle. But this is one in sales that is that, you know, people starting to claim they, they led the deal, half of the deal. There's the splits, the, how long do you get a hold over before it goes back to the original person? There's so many sales, cultural nuances in.
Clint (10:22)
Those are the best ideas.
Greg (10:42)
borrowing a territory for a couple of months. man. All right. I'm going to look up that solution. that, one, one, like that. Forecasting. So I'm just going to share my story of, of, of forecasting because it does sound good to overachieve, right? But when you're the sales leader and the toughest conversation of the whole quarter is why you sold way more than you said you were going to sell.
Uh, you go home and it's a little frustrating at a high volume sales organization. And so they brought in a predictive forecasting, you know, at that time it wasn't AI, it was predictive forecasting, right? You know, and on day one, it was going to nail where we would end 90 days later within a confidence level of, you know, $10, you know, well, I, I fundamentally felt like it doesn't know better than, than us, you know, so my entire.
strategy with my sales team was beat the machine. So whatever the thing said on day one, we were going to out execute that number. And from day two at the, you know, the exec meeting, that's what I was promoting the whole time. So it helps soften the blow. we just blew through the number every single time.
Clint (12:04)
I think that's a great approach for AI in the workplace in general. How do I take guidance from the machine, but then beat the machine? I think that mindset is frankly really where the secret sauce of successful AI deployments is. Because if all you're doing is blindly following the machine, you're just going to fall behind. But if you've got that kind of can-do attitude of, says the AI forecasting system says I'm going to come in at 70 % this quarter.
And how do I change that? Well, you do something different, right? You some people kind of take that attitude of, the data says it's going to be that, so it's going to be that. No, the data is just telling you ⁓ what yesterday's point of view is. Let me go create tomorrow's point of view.
Jason Rushforth (12:48)
Totally agree Clint, totally agree.
Clint (12:51)
All right, so you talked a little bit about AI sales for the sales manager, right? What's your number one on the list for helping a sales rep get their job done? What stands out for you?
Jason Rushforth (12:54)
tools.
What's your?
Interesting question, right? I mean, ⁓ I've deployed in ChatGPT, the ability to do objection handling over client concerns, whether it's pricing or other topics. And the reps can use that to build confidence on how they should respond to a customer. I actually saw another demo that I was really seriously looking at. And my problem was qualification. Now, if you go back to some of our old days Clint, right.
Qualification is the foundation for excellence at the back end of the deal when you're trying to get the deal. And so there was this solution I was looking at, I'll say it by name, it's called Win, U-I-N-N dot A-I. They sent me a blank book, it's called the Complete Sales Playbook, and I opened it up and there's not a word printed in it. It's basically no one's gonna read it.
Greg (13:58)
So smart. So smart.
Jason Rushforth (14:00)
And
so this organization has built into a solution that sits on a side panel integrated to CRM, key things that have to be asked through the qualification process and it did objection handling. So it would be a prompt for a rep to ask questions. So you think about productivity, you think about a customer coming back or a prospect coming back saying, hey,
your price seems a little high, doesn't it? As they say those words, it's using AI to surface what the best answer is that the rep should give at that time. But it's also doing things like prompters. saying, need to understand what solution this company uses today that is the incumbent. And so often we don't ask those questions or a rep that's under the gun to try and qualify a deal doesn't ask that question.
And it's prompting the rep, ask them what solution they use today. And when they say the word use Oracle or I use Salesforce or whatever the product is, it actually populates that answer in the CRM system for the rep. So it's using it as we're having a verbal dialogue. It's co-alleting all of the answers that you're giving and it's populating fields inside the system that are, you know,
pre-wired to their solution and the rest of it is all bundled up so you have the historical notes of the call. And I thought about, you know, solving that problem of qualification. think qualification stage is a critical stage in whether you invest your sales calories into the deal or you walk away or you recraft the deal. And this solution was just fabulous in terms of being able to guide a conversation.
and especially for new sellers, help them understand what they're missing in the questions.
Greg (15:59)
I absolutely agree with you. think very excited to hear you talk about this because I can't tell you how many times you're working on a deal that a rep has been working on it for a long time to just figure out it's not really even a deal. And you could have probably figured that out in the first maybe 90 seconds, but here we are 65 days later, trying to close something that never was a deal. So, you know, that's what makes the pipeline real. I mean,
Jason, you must be working on other AI solutions for pipeline because, you know, pipeline is important, right?
Jason Rushforth (16:34)
Yep. Yep.
Clint (16:35)
Well, it's more than important. Jason, what's what's one of your most famous sayings of all time? Come on. What?
Jason Rushforth (16:40)
Pipeline
saves lives, right?
Greg (16:43)
dude, I want that shirt. me that shirt. Not today.
Jason Rushforth (16:48)
Hashtag PSL pipeline and that you know Pipeline is the foundation of and I say it tongue-in-cheek, but it's not really tongue-in-cheek, right?
Clint (16:58)
No, it really does save lives. Yeah.
Jason Rushforth (17:00)
It saves lives, it saves jobs.
Clint (17:03)
Yeah, companies run off pipeline. Yeah.
Jason Rushforth (17:05)
And so a lot of emphasis and energy going into pipeline development, you know, back when Clinton and I worked together, I was taking manually ABM data, which is intent data coupled with another application that had website visit data coupled with LinkedIn engagement and sales navigator also generate some of this. I create a spreadsheet every Monday morning. Clint remembers it well, I'm sure. And then I would parse it out and say,
hey, these five customers or these 50 customers are looking at this particular product of ours, we should probably engage, go make the phone call. And I think that an AI solution that comes to market that can give proactive, and I've seen it with Regie I've seen it with a couple tools. Regie, you got to hard wire it into a whole bunch of things. But when you get to a place where I'm Regie,
Clint (18:02)
reason
it
Jason Rushforth (18:04)
Regie.ai, r-e-g-e-i-e-dot-a-i Regie wires into these platforms and it basically says when you come into work on any given day, here are the 10 people you should connect to on LinkedIn because of this reason. Here's your orchestration of how you should consider communicating and talking to these people, email, outbound program, whatever it is, but it kind of guides you through your day. I think
Clint (18:05)
You got AI.
Jason Rushforth (18:32)
From a management perspective, I'm always looking at tools that offer operational efficiency or for profound insights into how my business is functioning and operating. But at a rep level, it's about speed to lead, It's like, how do I take this information and manifest opportunities in my pipeline? I've looked at qualified, funny, I looked at them right before Salesforce bought them.
It was an interesting solution. think it would save costs for do you know what qualified is by the way?
Clint (19:07)
Nope, I haven't heard about that one.
Jason Rushforth (19:08)
It qualified as an AI BDR that Salesforce will probably be launching under its own brand. Well, they will because they bought them. And basically a triage is all the inbound leads. It's an AI solution that you plug into your webpage and you route leads to the appropriate people without human intervention. never do anything from an outbound.
Greg (19:33)
Did
see these are, these are huge things. They always ask what's, what's the CRO's role in the, in the whole sales organization. And it's, it's really clearing noise and curing the path to what to do next, right? To find more revenue. And, know, what you just described is, you know, you said you did it on a Monday morning. That's usually the night job. Like after the sales days over, you stay there for the, for the evening and start to put.
50 pieces of data together for the team for the next thing. Our solution was we ended up putting a team on the other side of the world. And so when we all went home, that's what they did. And they queued everything up for us. So when we all walked in, there was a list to go do it. Now AI can just do this in seconds, real time. You don't have to find something out today that you'll call on tomorrow. It's like, if it happened,
Five minutes ago, it's now queued up for you to make that call. And that is so exciting. That's the Nirvana we always wanted to get to. So, you know, we have you here. You're, you're a seasoned SaaS guy that that's in the AI world and make you making the transition. But I want to hear your take on the SaaS apocalypse. That's something that just happened from your words. What was it? And what's your vantage point from the CRO seat?
Jason Rushforth (21:00)
So I am a SaaS operator, like I'm not gonna sugarcoat and say I'm an AI operator. I'm still living in the SaaS world. You can tell by the gray hairs on my head. ⁓ It was interesting. It was like this random Tuesday where the markets just started to collapse and the catalyst for that was investors started looking at this. I actually listened to a macro economist.
in person when I was in Vienna talking about this and he was actually saying AI will have a bubble just like the dot com bubble, right? There's a lot of height and there's a lot of mist around us or clouds around us in terms of who will come out the market leaders and who will not survive this. But when I look at it, think there's a couple of things. If I was in a horizontal platform play,
I would be nervous if it was a SaaS based solution, horizontal platform play that, you know, a cloud application could replicate very easily, then it puts pressure on you as a SaaS operator. But I think that there is a lot of challenges that businesses are facing because the pressure on the SaaS businesses, okay, you have a vertical application, Charles Phillips,
former president and CEO of InfoR actually was on, I think it was Bloomberg talking about this. When you have a highly strategic solution that is deeply embedded in verticals and you have a moat that you can build around that with regards to agentic capabilities that you're building on, those SaaS providers will likely prevail.
It's hard to come in. The one thing that is missing from all the dialogue that I hear, I'm a go-to-market person. You can build the best application on the planet. If you don't have the motion, the rigor, the focus, how do you unseat? How do you change the pricing? How do you change the way people are thinking about purchasing a particular application, especially in a heavy verticalized solution set?
it becomes challenging and so you still have to lean on the go-to-market capabilities to drive into a market.
Clint (23:24)
Yeah, I kind of want to push back on that a little bit. Yeah. If you don't mind, or at least just unpack it a bit more. Sure. I've been building and running software companies for long time here. And if there's one thing I've learned, a company is so much more than just a product. Right? And so a company is, okay, I'm delivering a set of features, but I'm delivering them reliably and they scale and they're always there. Yep.
and they're secure and they have all of the components behind it that you can rely upon in terms of my data is safe, this application is going to be there, all that kind of stuff. And then you kind of work your way around all the things that comprise a company in terms of support. When something goes wrong, somebody is there to help you. So much more than just one feature. So I read these LinkedIn posts about, I vibe coded XYZ over the weekend.
And we're going to destroy this existing market. And my very first reaction is, no, you're not. Not with just a new, you know, just because you coded a feature over the weekend doesn't mean you're going to displace an existing vendor who's got all the infrastructure in place to make companies successful at scale over time. So I kind of just have this reaction of that. This sounds like, like, ⁓ fluffy hype as opposed to reality. But at the same time, there's definitely pressure.
Greg (24:51)
but yeah, it's still the same, you know?
Jason Rushforth (24:56)
Yeah, I didn't
Clint (24:56)
I
mean, hey, if somebody can vibe code something over the weekend and then they come back to me and say, hey, my IT team did this, I want a 20 % discount on the software because otherwise I'm just going to go with my own home-built solution. That's real pressure, right? No doubt about it.
Jason Rushforth (25:13)
It is. first off, Clint, I totally agree with everything you said, right? Just because you build or vibe coded a solution over the weekend doesn't mean you're going to walk into a marketplace and dominate in that marketplace. There's so much more behind what the companies actually do that have won in particular markets. I think the other thing, if I may pivot for one second is pricing is an interesting topic when you
think about AI versus traditional SaaS vendors. ⁓ I remember the first time I ever heard of salesforce.com, was pitching it in a demo and they said, we're looking at salesforce.com and I'm like, who, who is that? And I went and looked them up and I'm like, ⁓ they're on a subscription basis. Like nobody's ever going to move from perpetual to. You know, what Salesforce did was they changed the entire narrative of the software industry.
Greg (26:02)
Fair
Jason Rushforth (26:08)
by building this pricing structure. And I think with AI, the biggest challenge is if you think about traditional vendors that sell on a seat basis, and AI is going to come in and potentially disrupt the number of seats that you have and the predictability of your cost, it's going to be a very interesting model. Because if you're getting absolute benefit in use out of AI,
but you don't really understand the predictability of the cost. It's going to be an interesting model that's coming out because no one's going to open a blank checkbook and say, I was spending $200,000 with this vendor. Now I have an AI solution and I spend $800,000. So I think there's a lot of pricing consultants that are
Clint (26:56)
They're making money right now, or at least they're making bold predictions. Yeah. I agree. The whole space of pricing when your company's revenue model is based upon the number of seats that people use, but then AI is coming in with the fundamental promise of, we're going to reduce the number of people that you need in a particular function. Yeah, there's a tension there. Absolutely. Huge tension there. I personally think
Greg (27:01)
Yeah.
Jason Rushforth (27:01)
Yeah,
I told you.
huge tenser.
Clint (27:25)
the marketing automation world, and you know this space better than I do, having worked in it, but the marketing automation kind of built a whole pricing model around, I don't care how many people you have using the software, it's the amount of data that you're holding in there. Ultimately, what's the value that you're getting out of the software as opposed to the number of people who are logging in each day? I think we're going to move more towards that is where I see
Greg (27:48)
I
think that, And then the predictability of what it's actually going to cost when you're kind of leaning into usage is, ⁓ that's a one. yeah, I was in, I was in, know, you know, basically cloud telephony for a long time and everything worked as a cloud monthly cost except for a toll free number. And that was a usage one. And then we try to sell these packages.
Clint (27:55)
Tough luck. People want predictive.
Greg (28:17)
But it could cost more if more people call, you know, and that one line held up so many deals and canceled deals that were in play because the CFO could not figure out what it was going to cost them. And we've had prior guests start to talk about that. I didn't pipe up at the time, but it's, almost the same puzzle. And Jason, you opened up a funny thought in my head. You said perpetual license. have not pitched a perpetual license in so long.
And the first, the first thing that comes, you know, you go, it's a, you know, this much plus a maintenance, you know, a month, a yearly. What do we get for the maintenance be? That's the first question back. You opened up a funny spot in my head that I had not thought about in a while. So I got a question for you.
Jason Rushforth (28:54)
end.
You get hot.
Yeah.
Greg (29:11)
You're, know, you're SAS master that's been working with AI and everything. We have a lot of people that listen, you know, our audience is basically people running some pretty big teams that don't want to admit that they don't have AI in there anywhere. Yeah. So if they, you know, if you can give one piece of advice, this is where they listen to it because it's safe for them. If they've never used AI, but know they need to bring it into the business, where should they start?
from a revenue, CRO revenue or any type of group, where should they start without breaking things?
Jason Rushforth (29:47)
So I think this podcast is a great place to go to learn. But what I did was I had pressure coming in to say all lines of business need to look at where AI can help improve. So I started writing down where I saw the biggest problems were in the business. But that could be enablement, that could be qualification, it could be forecasting or
territory management, you you write down what it is that you're looking to accomplish and then, you know, I would source either through AI or through Google, but a lot of people, I go to AI before I go to Google these days, but, you know, start sourcing. What are the solutions that I can use to help solve this? That hasn't changed in 25 years. I have a problem, I need a solution, where am I going to go find that solution? And I think that that still exists.
You know, meanwhile, as a CRO, you're getting 65 emails a day with a different AI solution. I would read every single one of them and I would pontificate if I actually had that as a problem, if it's something that I think could help drive either better productivity from the field or operational efficiencies or line of sight for the business. If it didn't fall in those categories, I just said, no, I'm not going to engage.
Clint (31:11)
So dialing back to what you were saying earlier, what I heard was help sales reps, like the three areas that you really like getting started in, or at least have recently done, help sales reps navigate conversations more quickly and with a more informed point of view. Help sales managers work on their territory management more rapidly and more nimbly than they have in the past.
I'm not sure was there a third one in there you talked about the AI forecasting being a bit of a bust but
Jason Rushforth (31:44)
It was a bus for me, but it's something that I'm always intrigued and looking to find the next best solution. think line of sight is really important and being able to manifest your data in a way that has some degree of accurate predictability is not a hundred percent accurate. don't expect that, but strong predictability around you have this much pipe and this much coverage and this is your ICP and your average deal.
cycle length and the average sales price and you know being able to look at your data and spit out an answer is always intriguing to me. If I can remove some of the burden on revenue operations by doing some of these manual tasks that we do on a day in and day out basis, I'm interested in that.
Clint (32:32)
Now that's the advice that we're looking for. I appreciate that. That's fantastic. You're giving us the playbook of how to ⁓ apply AI to your sales organization. Yep. All right.
Greg (32:37)
Lovely.
Jason Rushforth (32:45)
Excellent. would also say one more thing, you know, and I hope you would agree. Start small, right? Yeah. Ask for a pilot. Try it out. Determine for yourself if this is a solution that will have impact to the areas you're trying to fix. And I'm a touch and feel type of person. I'm not going to buy necessarily off a demo. I want to see this working for me as I would want it to work. so ask for those pilots.
Clint (33:15)
That is outstanding advice, Jason. We appreciate that. That is good stuff. I think we're to go ahead and wrap up here today's discussion. mind is spinning on all the things I'm going to go check out. The boogie board one just sounds like a really cool.
Greg (33:32)
I want to see that. I'm going to spend time with that today looking at it.
Okay, it's time for this week's AI Challenge. Now the AI Challenge is a takeaway assignment for our listeners to get their hands on some AI tools and do some exercises.
Clint (33:50)
You know, most companies are doing AI backwards. They start with the tool, not the problem. So here's the AI challenge this week. Pick one real constraint in your business, something actually costing you time, revenue or deals. Then put AI to work and hold it accountable. Does it save time? Does it create pipeline? Does it improve outcomes? If it doesn't, then kill it.
We'll give you a few sales starting points, but the goal is simple. Stop experimenting with AI and start solving something that actually matters.
Greg (34:27)
Yeah, look down into the show notes and you'll find a link that goes right to the blog. It's got all the instructions that you're going to need. Now, if you've just finished an AI deployment within your business, we'd love to hear about your experience, the good, the bad, all of it. So go to www.promptthis.ai, go to the contact us page, fill out the form and we'll be in touch to talk about the story.
Clint (34:56)
So a couple things here. Where can people find you? What's the best way to track you down and carry on the conversation? ⁓
Jason Rushforth (35:03)
Awesome.
You can find me on LinkedIn, Jason Rushforth. That's probably the easiest place to find me. Hit me up. I'm always open to dialogue just to understand what's in the market, what you're doing that's different or learn from others' experiences. Like the more we talk, the better we're going to all be at the end of this. And when the dust settles, you know, we'll have great, great opportunities to continue to deploy and use AI.
Greg (35:29)
That's great. Well, thanks for all the insight today. Really appreciate it. Thank you.
Jason Rushforth (35:34)
It's great talking to both of you today.
Clint (35:37)
And that's another episode of Prompt This.
AI Announcer (35:43)
Thanks for joining Clint and Greg today. And hey, if you want to dive deeper into this whole prompt this universe, you can find every episode plus all these super in depth articles over at www.promptthis.ai. And seriously, don't forget to hit that follow button below. It's like unlocking the next level of the adventure.
