Rocco Savage, Head of Growth, shows us how Sales Co-Pilots and Auto-Pilot Agents can autonomously design, build, and run a prospecting workflow to more reliably book meetings.
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[MUSIC]
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Hello everyone and welcome to Go to Market AI,
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the future of your Go to Market tech stack.
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I'm your host Sarah McConnell.
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In these days, it seems like every company has AI,
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but on this show, we want to go level deeper so you can see
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first-hand how businesses are actually applying AI to solve your business
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challenges.
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We're going deep into the use cases and showing you live demos of
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the latest and greatest in AI technology.
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Today, I'm really excited to be joined by Racco Savage,
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head of growth at Reggie AI.
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Racco, welcome to the show.
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>> Hey, thanks for having me Sarah.
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>> Super excited to have you here.
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We've worked with Reggie a couple of times in the past on webinars.
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I love your guys' team over there and what y'all are doing.
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But for listeners who don't know Reggie,
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can you tell us a little bit about what does Reggie do?
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Who are you guys helping?
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We'll go from there.
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>> Yeah, sounds good.
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Reggie is a generative AI platformer,
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the generative AI platform for revenue teams.
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We've been working with AI since day one and generative AI
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that date pre-ChatsiePT for folks that it seems like it's been,
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ChatsiePT has even been out in the year, just FYI.
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>> That's a thing.
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>> So we've been doing this for about two of now,
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a year, but we're building autonomous agents for
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revenue teams to do various tasks as well as different productivity tools to
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support sales reps on making prospecting easier.
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>> That's awesome.
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We've seen a few times on the show,
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we've talked about sales assistance and how it can help sales,
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but I think sales agents is a new concept to the show,
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so I'm excited to dig into it and see.
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So with that being said,
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Rocco, I would love to jump into the good stuff,
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which is the demo and see what Reggie AI can do.
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>> Yeah, let's do it. Let's make it interactive.
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Let me open up my handy-dandy slide deck here for everybody watching.
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Don't worry, I'm going to only spend a few minutes on slides,
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and then we're going to get into the good stuff.
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All right? Just some quick context on the evolution of sales tech.
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We think about where we've been for the past 15 years with this simple
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automation.
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You think about sales engagement platforms,
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you think about marketing automation platforms,
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and they have this analog or algorithmic component to it.
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If then, very simple basic steps to make a rep doing
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all these repetitive tasks hundreds of times over and over again.
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>> Yeah.
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>> Etcetera. Fortunately, what we've seen since generative AI has been out is,
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now AI can support the rep in doing these tasks so much faster.
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>> Right.
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>> Right. >> So, so much faster.
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Getting through LinkedIn Task Faster,
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supporting on calls to put the right information in front of them at the right
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time,
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sending personalized emails much faster than you used to be able to do with
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better brevity and better quality.
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All these things are possible today.
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We've been at this for about two and a half years.
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We actually started out bringing AI sequence writing to market two and a half
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years ago.
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It was so crazy because pre-chat VPT folks are like,
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"Can this thing even write an email?"
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I don't trust AI can write anything.
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Now, if you think about that 11 months post-chat,
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it's like, "Yeah, of course it can."
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>> You're later on there's blind trust and also they're like, "Of course it can
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."
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>> Yeah. It basically went from
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"Can this thing write an email to connect to my brand voice,
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my CRM and replace all my reps?"
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Like literally overnight.
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It was so wild.
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So, you can imagine try to build a playbook for something like that when
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everything just changes overnight,
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but that was a ton of fun. We got through it.
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What we also realized is we have a phenomenal co-founder and CEO and
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Srinath Sridhar who loves to push elements of tech.
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We've really been pushing what's possible with AI,
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especially when it comes to our revenue motion.
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If you think about all these different flows between lead and meeting,
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whether it's inbound lead response,
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outbound prospecting, nurturing old leads.
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AI agents can do these tasks so well.
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Now, AI has gotten to the point where it can actually do task execution.
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So, we've moved on from the creative process of being able to write an email
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or being able to create a picture or video and now can actually
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repetitively execute tasks for you, which is wild to think.
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So, the biggest contrast you can think of is if you're a go-to-market leader,
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any template or email that supports between lead and meeting should be replaced
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with an agent
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over the next three to three years.
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Because if not, you're still just sending the same templated emails over and
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over and over again,
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and now you can have a better outcome, you'll get better open rates,
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it'll be more human, the emails are just so much better
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because it actually analyzes the prospect and comes up with something a lot
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more eloquent.
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So, we'll talk about whether there's a use case today.
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All right.
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Now, to dig in a little bit further on what can this agent do?
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Because you've seen a write in email, and that's fantastic, right?
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That was like the first use case.
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But what we're going to walk through today is number one, lead sourcing, right?
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Whether it's the RevOps team put together the accounts and pull in the contacts
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or marketing is doing it, or each Rev has to pull and source their own contacts
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Today, agents can do that for you now.
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You can actually remove that 20% of your week spent just trying to find
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contacts and accounts,
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literally into zero, so you can do more revenue generating activities with an
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agent.
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So, walk through how that works today, different use cases.
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You know, messaging and sequence creation, core-sign-crate messages, core-sign-
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crate sequences.
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You know, you could do that in chat, GPT today, but what Reggie comes in is you
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can actually
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upload all of your persona messaging, your brain content, etc.
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So, when you're creating the messaging, you're going to get the same messaging
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all the way
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through the customer journey.
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So, you know, all those persona cards and persona docs and pain points that
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marketing always
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works so hard on, and then gives it over to sales, like sales, please use this
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in your
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sales messaging, and, you know, maybe 20% of the time it gets into the
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messaging, now
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it's actually in there, right?
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Because the AI is rating it, and whatever they saw on that landing page,
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whatever they
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saw on that website is going to show up in the email, and it's going to feel
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like you
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know them throughout the process, not to mention everything's going to be
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personalized these
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days.
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And, you know, campaign building, AI, there's no more, like, analog static
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sequences.
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Now, AI and emails and sequences work like ads.
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You know, if you think about, you know, Sarah, if you and I are sitting here
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talking about
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our favorite deodorant, well, guess what's going to happen when we open up
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Instagram?
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Definitely deodorant ads.
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Same to happen to me.
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That's right.
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And then if you click on that ad, guess what happens after that?
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You're going to get a more deodorant ads from competitor, like your bloody de
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odorant
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ads.
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Eager products that are just in the same space.
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Yeah.
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Exactly.
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Exactly.
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So, you know, we're all familiar with intent.
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But for some reason, all of these systems have been, like, disconnected when it
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comes
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to sales emails.
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Emails work like ads now.
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It's all dynamic, right?
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It can connect to intent, can connect with engagement, and the AI can actually
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serve up
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tasks either from an email perspective or to the actual rep based on that type
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of engagement.
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So now from a buyer perspective, they're actually going to be getting more
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emails that
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are more relevant and less phone calls that are irrelevant, which everybody
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loves, right?
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So, um, RevTech Insights and Analysis, just the messaging, the depth of detail
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that you
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can get from analytics standpoint.
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We'll get through that today.
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Taskits, in fusion, where we talked about it, performance management, just AI
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and agents
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can really support this in a great way.
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So, a couple of use cases, just so you can think about, like, as you go back
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and you're
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looking at the gaps you need to fill from a go to market standpoint, or maybe
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don't
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have the headcount that you need in some of these motions.
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And maybe your next hire should be an agent, you know, that can support it and
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support your
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tea.
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You know, an agent can handle, you know, the typical SDR can handle 6,000
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contacts a year,
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an agent can handle 600,000.
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So, you know, there's just, yeah, it's just a massive, massive change in
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improvement in
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our productivity.
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Cold outbound, LinkedIn connection requests.
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Now, this is really unique, you know, and you got to abide by the terms of
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LinkedIn,
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so there's no auto connecting.
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But we got some cool motion there that really serves up the profile,
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personalized, the LinkedIn
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email agents can support that.
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And it can connect to your data.
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So, like, an opportunity is created, you want to send your CEO and CMO or
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whoever it
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is to connect with their exact level to make sure you've got those LinkedIn
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connection requests
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and agent can support that whole motion for you now.
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Inbound, Lee, response, of course, sales nurture is huge.
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Everybody's got a database of Lee that are sitting there and no one's working
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on them.
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Yes.
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Everybody's got it.
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Put an agent on it.
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An agent will sit there and listen and listen for intent, listen for engagement
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, send a personalized
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email once a month, see how you're doing, checking in, and once something
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clicks, it'll
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serve it right up to the rep.
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Call task, LinkedIn task, and you're often running.
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So much better motion than your once a month, lose a letter.
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I can guarantee it.
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ABM multi-threading customer expansion.
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Expansion accounts, fantastic use case.
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So we'll get into building an agent today.
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Sarah, what use case would you like to center this around?
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You know, I feel like we've done a lot of marketing use cases as of late in the
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show.
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So I'm going to spend some time on cold outbounding.
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I think it'd be interesting.
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We've got reps here.
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They spend, I think a lot of the things you talked about as far as like manual
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tasks and
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writing and LinkedIn connection requests, they spend a lot of time on that.
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So I'm curious to see how Reggie can help them.
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Love it.
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Love it.
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It's my favorite topic.
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First and foremost, if you're going to get started with Reggie, the first thing
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you're
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going to do before you do anything is you're going to upload your bring kit.
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And what this is is you sign up, we're going to get your company information
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built in.
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It's very easy to do.
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You're just putting your website.
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You're going to start drilling down on the description, your default paying,
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your default
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value prop, et cetera.
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Save all that.
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And then you can start uploading all your collateral and building out your
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personas.
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The important part about that is the AI knows the persona and they'll know it
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and they'll
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take the right messaging and the CMS and actually utilize that within the sales
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emails.
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So they'd be very targeted, always on brand, always direct to the persona.
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And it's not generic.
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Going out to a chat you can tee these days, you just don't know what's coming
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back into
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that email and you can't control it.
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There's no guardrail.
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So Reggie highly supports the brand messaging.
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Now let's go ahead and create a create a agent.
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Now we're going to go through a couple of steps here as I walk you through this
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If you've ever set up an ad set, this is going to be very familiar to you.
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Not a lot of that.
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I'm doing not rock out.
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I have a feeling.
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That's right.
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So you know what a look like audience is, you know how to upload your custom
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audience.
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You can do the same thing with emails now, which is super interesting.
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So we're going to talk about discovery.
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Discovery is how do we discover contacts and accounts?
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Okay.
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You talked about cold outbound.
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So that's what we're going to utilize.
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Let's say we have green field or we have a set of accounts in a in a in a in a
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in a in contacts
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in salesforce.
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That's like our target list.
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They closed the fastest with the highest ACV and we want more of the right.
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So let's go ahead and grab that contact list.
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And then what we're going to do is we're going to grab an exclusion list.
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So let's say it's our customer list.
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Right.
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And we're going to scroll down here, make sure that it adds the right amount of
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people
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per day because it could add a lot more if you wanted to, but maybe you have a
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certain
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rep count.
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You want to support that motion and not overwhelm them.
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You can support that.
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And then you want to get real targeted on what persona do you want to go after?
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So let's say for this particular agent, we're going to go to SDP, sales, sales
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and AO,
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and head of business development.
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Let's say we're selling AI agents to salespeople just for, you know, for the
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sake of it, right?
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And then let's go ahead and test it.
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So what we're going to do is we're going to let the AI go through the different
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databases
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that we're just connected to and ensure that the personas and this list and
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this audience
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is exactly who we want to target first.
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So plenty of guardrails set up.
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So you can ensure that AI is not going to go crazy and email a bunch of people
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that, you
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know, are not relevant.
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So you can see here right on target, head of business development, head of
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business
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development, right down the list here.
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This looks great, right?
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We're going to go ahead and save that.
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Now what we're going to do, this is where it gets really interesting because
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what we're
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going to do is we're actually going to give the agent a bunch of tasks to do.
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So you're literally telling the agent to go execute these tasks.
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I mean, think about like the power here, like, you know, it's just wild.
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This isn't a sequence anymore.
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You know, those are over.
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So the first thing we may want the agent to do is send an email, send a
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personalized
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email.
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Notice here we got prompts built in.
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So you can ensure that the emails are right on brand.
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Just like, you know, I always tell folks like, take your best emails that are
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working and
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just we can reverse engineer it into a prompt.
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So every single rep has the exact best email and email style that your best rep
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has.
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So you know, now there's a level playing field when it comes to messaging from
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the entire
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team.
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All right.
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So we got it subject line prompt, email body prompt, system prompt, right?
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So we have like just a back end prompt that supports it.
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And then we have a data source priority.
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So what is it?
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What is it actually prioritizing?
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Well, when you write a personalized email, you can actually ask it to
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prioritize different
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data sources.
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Yeah.
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Yeah, see here, and you can actually bring in the CRM as well and bring that in
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And you can add in custom fields.
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So if you have certain data that's sitting on the contact object, like, you
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know, you
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name it, you can actually personalize to it.
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So it's great for inbound lead response as well, because you can bring in the
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lead source.
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You can bring them the how to hear about us and personally.
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Really cool.
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I think it looks like you can like drag and drop them in order to, which is
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cool.
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So I can, yeah, funding is great.
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I'm more interested in your work history, make it more personal versus your
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company.
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That's, that's really cool.
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Yep.
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Then you go ahead and test it.
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So, you know, this will look up a certain, you can add in a certain email,
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persona email,
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prospect email, make sure the email looks great for you.
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Right.
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These emails are always written with best practices, nice and tight.
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It shows the data source you use.
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So you can see your work history.
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Notice your career path.
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Let's go ahead and delete that.
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He doesn't tweet much.
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I know that.
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Let's add in a data source.
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I know it would be interesting.
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Company news that in, and then we'll move that up.
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And then we can see it again.
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Test it.
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There we go.
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You know, it's our release on our new and he's emailing all either.
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So you know, it's bringing in the prompt.
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That's really interesting.
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I also, I just want to point out the data source you use.
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I feel like this is a trend I've seen more and more having people on this show
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is because,
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you know, we kind of joked earlier, like chat, TBT, it went from like, it can't
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write me an
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email to all of a sudden overnight.
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It's like blind trust, but jokes aside, like I do feel like people have a
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tendency to worry.
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Like, where is this coming from?
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Like, why is it producing the output that it is producing?
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And I love that you guys have the data source to use.
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So it's not such like a black box feeling.
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You're showing like, hey, this is why we wrote it.
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Here's where we're pulling from and just having that built into the product.
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I feel like it's so useful to build trust with your end users.
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So I love that.
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Yeah.
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That's a great point.
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I've never all started to receive some email that it's like, say, I just like,
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it like
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meshed in like my college and what I April, dinner last night.
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Now he could know it's like, like, this is like a weird jumbled like email.
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These are, you know, what I tried to do is like, you know, very make it very
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targeted.
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Like you can set up an agent just around, you know, if you even want to add in
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more guardrails
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just around company news or just around job titles or funding, et cetera.
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And yeah, so that's how you set up an email.
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Want to add some more tasks.
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You know, you can set up a follow up email, add that in completely different
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email, right?
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Different prompt, different style, referral email.
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And then if they start engaging, you're going to ask it to send the rep a call.
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We got a call strip here, right?
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System prompt.
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Very cool.
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Send the LinkedIn connection request.
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So the agent will actually sit there and dynamically listen, listen to intent.
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It'll connect to your intent provider.
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We'll have intent in built into Reggie here shortly.
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So it actually come out of the box.
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And your reps never have to send another email again.
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That's awesome.
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If you want them to, you can actually have the agent, like a lot of folks do
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want, especially
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like when you're targeting like the above the line C suite.
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Yeah.
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Prospect.
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You may want that manual email and an added touch.
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So you can actually ask the agent to send your rep a manual task to start the
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whole thing.
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And then the agent can take over on the backend.
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Oh, that's really interesting.
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Okay.
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So it's like, Hey, reminder to you, you need to go do it.
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We're not just going to send it for you, but it's still going to help produce
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the email
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and what you could send.
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You just have a little bit more oversight into it.
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Yeah.
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And I'll show you in co-pilot, like what I mean by like added touch because you
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can really
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get specific.
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The way to think about it is a lot of us have like the typical sequence is
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manual email
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and then everything else is automated, right?
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Besides the call and LinkedIn task.
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Now you can do manual email and then agent takeover, no more template of emails
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, all
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you need to the prospect.
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So you're replacing all those templates with agent emails that have personal
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ization in
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them.
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That makes sense?
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Yeah.
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That's really cool.
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Cool.
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Couple of quick things to note here.
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Now this is a demo instance.
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So I don't have all the data, but this is a marketers dream.
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And I'll tell you why you can actually come in here and look at the specific
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content,
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the specific pain point value proposition, how many emails it's in, what's
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actually
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driving engagement within the emails and if it's actually booking meetings.
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So imagine taking this and bringing this back way through all the way back
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through the customer
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journey all the way to an ad because you can actually see now what's converting
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emails.
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Like before is really just a subject line.
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After that, you didn't really know, right?
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You are.
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So you can see this per persona.
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You can go ahead.
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Or as I say, you were right.
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This is a marketers dream because I feel like I ask this question all the time
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and I'm
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like, well, what message was resonating in our album sequences and the best
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thing come
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up with the subject lines.
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You know, like that's how I'm pulling in or by the persona from the subject
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line.
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So actually having the value prop because that's all I actually do care about
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because
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that's going to inform so much more of my marketing.
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This is a really cool feature.
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Yeah.
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And, you know, just like ads, you know, you go in, you go into Facebook, you
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look at your
18:45
campaigns or ad sets, you get down to different, different ads of what can you
18:50
do?
18:50
You can toggle them on and off based on performance.
18:52
Well, now you can do that within your emails to toggle on and off your pain
18:56
points, your
18:57
value props, even your foreshown us.
18:58
Yep.
18:59
So you see ones not performing you just say, don't we don't want to keep
19:02
training it on
19:02
this value prop.
19:03
It's not resonating with our CMO and you can just turn it off.
19:07
That's right.
19:08
Very cool.
19:09
Yeah.
19:10
So, you know, what we just went through is number one, how you can completely
19:13
alleviate
19:14
ever having to log into zoom info ever again.
19:17
Number one.
19:18
Number two, how an agent can serve up, you know, manage hundreds of thousands
19:24
of contacts
19:25
at once, how to write customized prompts, how to increase your deliverability
19:29
because
19:29
now there's no more templates, by the way.
19:31
So if you have deliverability issues, it's a great use case just to even get
19:35
into the
19:35
inbox.
19:37
And then finally, how to really like refine your messaging with analytics that
19:41
aren't
19:42
available in self-engaging platforms.
19:44
Now we'll hop over quickly to co-pilot and show how we support reps on all
19:49
their manual
19:50
tasks and get things done faster.
19:53
So let's go ahead and hop into everyone's favorite inbox, go ahead and open the
19:58
inbox.
19:59
We're going to put in a prospect here that I found.
20:06
And look at that.
20:07
The rapid writer found a close persona.
20:10
I know that's not quite your persona, but it was close enough.
20:13
And it gave me the bolt to this bolt here.
20:17
And what Reggie's actually doing is taking all that brain kit, that brain
20:20
messaging,
20:21
it's taking that prompt and it's actually writing a personalized email and the
20:23
click
20:24
of a button for the rep.
20:25
That's really cool.
20:26
So it's just, it's in the system you're already using.
20:29
You don't have to toggle back.
20:31
Like it's just there and it can help you write.
20:32
That's, that's really cool.
20:35
Exactly.
20:36
And it's nice and tight.
20:37
It's written with best practices.
20:38
We open up our analyzer.
20:40
Let's see where we're at here.
20:41
I know we got a good green check here.
20:42
We're at a 96% already.
20:43
Oh, it's just missing a set back line.
20:45
All we have to do is ask the rapid writer to read the email and come up with a
20:50
relevant,
20:51
unique subject line for this email.
20:53
Now we pulled up our target prospect.
20:56
We've got a great backstop here in the Reggie Chrome extension in co-pilot that
21:01
if you want
21:02
to add that added touch to your email and really dig into the research of the
21:07
prospect
21:07
and tailor something, we've put all the data that you need right in front of
21:10
you plus
21:11
more and I'll show you what plus more means.
21:13
Notice in here we've got Sarah's about information.
21:16
We actually pulled in personality and communication advice.
21:20
Our AI actually will read all your social profiles, Sarah, and come up with
21:24
ways to communicate
21:24
with you, whether it's a cold call or whether it's on a demo.
21:27
So, you know, all of our reps actually prep for this when we get on calls to
21:31
ensure that
21:32
we're communicating properly.
21:33
Be friendly, amenable.
21:35
They will open up more.
21:36
What do you think?
21:37
That is very accurate.
21:39
I love it.
21:41
I love it.
21:42
I mean, you do a train on this.
21:43
And I was reading the notes and I was like, "Those are all so accurate."
21:49
I love it.
21:50
This is like an understated feature, but I think it's so powerful.
21:53
That isn't really cool.
21:54
Because a lot of us went on the phone and, you know, the more you can connect
21:58
with folks
21:58
about it or so.
21:59
Okay, we got word history.
22:01
So let's go ahead and create a personalized message.
22:03
And this is actually built with a best practice in mind.
22:06
And a lot of what we build with an Reggie is to mimic workflows of reps or work
22:10
flows
22:10
of sales leaders, et cetera.
22:12
This is to mimic three by three research and personalization where you can grab
22:16
three
22:16
relevant data points very quickly and write an email.
22:20
The goal is to typically do it under three minutes, like without AI.
22:23
It always took like 30.
22:25
Now we can do it in 30 seconds, right?
22:27
So, and it's fantastic.
22:29
So we're going to grab this about section.
22:30
Let's go over to the company information.
22:32
Let's get some news.
22:34
And then let's say I might have found something out of value outside of the
22:38
Chrome extension
22:38
that I want to add in.
22:40
We actually have this custom field as well that you can add something in,
22:43
something unique.
22:44
What's your favorite hobby?
22:46
I play beach volleyball.
22:48
Love for beach volleyball.
22:52
All right, got that in.
22:55
It next always ensure that every email is written with best practices, best
22:59
practices,
23:00
get that value profit in there.
23:01
Make sure it's tight to the persona.
23:04
We're going to write an entire email.
23:05
We're going to use this custom prompt.
23:07
Look at this.
23:08
Yeah, a whole bunch of different prompts you can use based on different use
23:10
cases.
23:10
We want to write it in English.
23:12
Sarah speaks English.
23:14
And here we go.
23:15
Seeing your love for beach volleyball, it proves value teamwork, quick strategy
23:17
It was significant managing business communications too.
23:20
Very cool.
23:21
Connected it together.
23:22
Nice job, AI.
23:23
That's right.
23:24
Connects it all the way through to the call to action, right?
23:26
So you got a bunch here.
23:28
Copy it over.
23:29
And you're rocking and rolling.
23:31
I have all strategies in business.
23:32
What do you think?
23:33
That's awesome.
23:34
I love that it gives multiple options too.
23:35
I always feel like that's a nice, I don't see that as often on the show, but
23:38
every once
23:39
in a while, it'll, we'll have people on that showcase other products has
23:42
multiple different.
23:43
It's not just going to give you one output that you have to add it.
23:45
It's going to give you multiple to choose from.
23:47
And I really like that feature.
23:48
That's awesome.
23:50
Reggie's actually stands for recommendation engine.
23:53
And I think it like nails in like the power of AI.
23:56
It's going to recommend a lot of great things for you to choose from where you
23:59
can come
24:00
and fine tune in Taylor and make sure you get what you want.
24:03
Awesome.
24:04
Cool.
24:05
I got a lot of other stuff to show.
24:07
We've got LinkedIn automation built in that AI can literally help you run
24:12
through call
24:13
pass right out or LinkedIn task right out LinkedIn.
24:16
We've got a whole manager dashboard for analytics for managers to have a
24:22
qualitative view of
24:23
what emails look like.
24:25
I mean, we got a bunch of jam pack stuff, but just for the sake of time, we'll
24:29
love
24:29
the end of right here and open it up for any questions.
24:33
Yeah.
24:34
Well, leave it on a cliffhanger here.
24:35
So if people want to see a little bit more of what you mentioned there, Rocco,
24:38
they can
24:38
go check out Reggie.ai and go learn more requests like a full custom demo,
24:42
which would
24:42
be great.
24:43
So Rocco, thank you so much for taking us through that demo.
24:46
This was really awesome.
24:47
I mentioned it before we started.
24:49
It was really cool to see the agent and what that means for reps being able to
24:53
not just
24:54
have sequences anymore, but have something actually help them along the whole
24:57
journey.
24:57
So that was great.
24:59
So what I would love to do is move into our lightning round Q and A and ask you
25:02
a couple
25:02
questions to round out the show if you're ready for that.
25:05
Let's go.
25:06
All right.
25:07
So the first question is going to be sorry.
25:11
Let me just get my questions up here.
25:12
How long have you been building AI into Reggie AI?
25:15
Yeah, into Reggie AI.
25:17
It's been a few years now.
25:19
So we were very early on the open AI API.
25:23
So like I said before, folks, it was before chat TBT.
25:28
So folks just like didn't even trust that the AI could write the emails.
25:33
And we've been through the Vomson versions.
25:35
Obviously it's a different game today.
25:36
And I'm glad to be on this early on this trend.
25:42
Yeah, I love having companies on the show that have the URL is dot AI because
25:46
that question
25:47
gets answered so differently.
25:48
We've got some that are saying like, oh, we just started like six months ago.
25:52
And then we've got like the OGs that are Reggie dot AI when I'm like, hey, I'll
25:55
even
25:55
be building this into your product.
25:56
You're like the whole time with the whole purpose of like.
26:00
Okay, Rocco, what you showed in the demo today is all of that right now
26:04
generally available
26:05
for customers if they were to go purchase Reggie tomorrow.
26:08
Today today you can implement agent into your workflows, make your next sales
26:13
agent.
26:15
That is incredible.
26:16
And speaking of customers, who are some of your current customers at Reggie
26:19
that are
26:19
benefiting from your product?
26:21
Yeah, we got a couple of small folks like AT&T and culture and boomy, plaid,
26:29
webflow,
26:30
you know, some FinTech in there, really cross spectrum.
26:33
Some really great clients.
26:35
So very small unrecognizable customers there.
26:40
And then Rocco, what is next on your AI roadmap?
26:43
Where are you guys taking Reggie?
26:44
Yeah, I think that the agent pushing the limits of what's possible with an AI
26:49
agent
26:50
is really where we're centered around and also pushing limits of what's
26:54
possible to
26:54
support the reps, you know, you know, with agents, sometimes the misconception
26:59
is like,
27:00
okay, well, you know, all the reps are going away.
27:02
I don't think that'll ever happen.
27:03
I think it's like implement agents on teams to allow them to do high value
27:09
tasks, right?
27:10
Get rid of these repetitive monotonous tasks.
27:12
If your sales rep listening to this, put it in front of your manager so you
27:16
never have
27:16
to do a con to pull contact ever again, right?
27:19
You just have the agent do it.
27:22
And then, you know, supporting the rep, supporting in the prospecting motion
27:25
and beyond.
27:26
Yep.
27:27
I do.
27:28
One of the reasons I've loved doing this show is we heard so much, I think in
27:31
the past
27:31
year, do more with less, do more with less.
27:33
And for the first like four months of that, it was like, okay, what does that
27:36
mean?
27:36
How do we do more with less?
27:37
And I feel like where we've landed is what you just said that AI is not going
27:42
to replace
27:42
people is not going to replace your sales reps, but it is going to make them
27:45
better and
27:45
more efficient.
27:46
Is the answer to do more with less is finding products that are like building
27:50
AI in a very
27:51
use case specific way that's going to help your team scale when they can't, can
27:55
't add
27:56
a head count and can't add budget.
27:58
I agree.
27:59
Totally agree.
28:00
Okay.
28:01
And last question.
28:02
Are there any AI powered go to market tools that your team is using right now
28:06
that you
28:07
like and want to give a shout out to you?
28:09
Yeah.
28:10
I actually, uh, and bullish on, uh, and I just got word of this.
28:15
So folks that use scratch pad, uh, scratch badge is building in AI and it's
28:21
coming.
28:22
And I know the pain of keeping the CRM clean and updated.
28:26
And there already a godsend to a lot of managers, refs rev off people in the
28:31
world.
28:32
And now they're building an AI and I cannot wait to see what they do with it.
28:36
That's amazing.
28:37
Well, Rocco, that's going to wrap up our episode of go to market AI.
28:40
Thank you so much for joining us today.
28:42
This was an incredible demo.
28:43
I loved seeing this in action.
28:45
So thank you so much for joining us.
28:47
Of course.
28:48
Anytime.
28:49
Thanks for having me.
28:50
(upbeat music)
28:53
You