June 16, 2026

Sergiu Simmel, Business Growth Coach and AI Consulting

Sergiu Simmel, Business Growth Coach and AI Consulting
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Sergiu Simmel guides founders, owners, CEOs of small-to-midsized businesses & their Leadership Teams on growing their business faster, easier and with more joy than they ever thought possible.

After founding 3 start-ups and a consulting practice, he shifted his focus towards business coaching, becoming the first EOS Implementer in New England.

In 2024, he immersed his work into the ever-changing world of Generative AI through partnerships with Humans+AI and WSI.

Winning Business Radio is broadcast live Mondays at 4PM ET and Music on W4CY Radio (www.w4cy.com) part of Talk 4 Radio (www.talk4radio.com) on the Talk 4 Media Network (www.talk4media.com). Winning Business Radio is viewed on Talk 4 TV (www.talk4tv.com).

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WEBVTT

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The topics and opinions express in the following show are

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solely those of the hosts and their guests, and not

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be directed to those show hosts. Thank you for choosing

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W FOURCY Radio.

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Churchill said, those who failed to learn from history are

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condemned to repeat it. Kevin helen n believes that certainly

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applies to business. Welcome to Winning Business Radio here at

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W four CY Radio. That's W four cy dot com

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and now your host, Kevin Helena.

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Thanks everybody for joining in again today.

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I'm Kevin Hallan and welcome back to Winning Business TV

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and Radio. We're on W four cy dot com. We're

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streaming live on talkfotv dot com. That's the number four,

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and we're streaming live on Facebook and YouTube at Winning

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Business Radio as well as we're available in podcast after

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the live show on pretty much wherever you get your

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wow blank your podcast content. The mission of Winning business

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radio and TV, as regular viewers and listeners know, is

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to offer insights and advice to help people avoid the

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mistakes of others, right to learn best practices. Those are

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the how tos, the what tos, the what not tos,

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to be challenged and hopefully to be inspired by the

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successes of others. Those are consultants, coaches, advisors, authors, founders

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and owners, entrepreneurs, people with expertise. But you know, virtually

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every successful person that I've ever talked to has had

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some form of failure in their lives and careers.

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So I say this every week.

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While we all have to get our knees scraped once

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in a while, I'm driven to keep those scrapes from

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needing major surgery. Let's endeavor to learn from history so

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we don't repeat it. I've spent the better part of

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my career equipping businesses to grow, and that's from solopreneurs

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to small and medium sized companies all the way up

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to the fortune fifty. I've seen some of those companies

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win into varying degrees. I've seen some fail, and I've

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had the opportunity to rub elbows with some of the

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highest performing people around and with some who probably should

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have found other professions. And in my own businesses, I've

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had lots of success, but failures too, and I like

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to think I've learned a lot from those successes. So, yeah,

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you're going to hear from me, but you're going to

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hear from guests mostly, and today is no exception. My

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returning guest is Surgu Simmel business Coach, Growth Business growth coach.

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I really can read. Here's his bio. Surg You Simmel

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guides founders, owners, CEOs of small to mid sized businesses

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and their leadership teams on growing their business faster, easier.

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And I love this with more joy than ever that

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was thought possible into the AI economy. He was born

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and grew up in in Bucharest, Romania. He spent his

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childhood years studying both music and mathematics. In nineteen eighty one,

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he defected from communist Romania and ended up in Minneapolis, Minnesota.

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We're going to hear about that.

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He started his career as a software technologist back in

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graduate school as a master's in computer science from the

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University of Minnesota. One of his two areas of focus

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was artificial intelligence in nineteen eighty one. In nineteen ninety one,

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Sergiu co founded his first startup, a software company that

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produced an advanced database server. In ninety five, he co

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founded his second business, providing technology based compliance services to

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the financial industry, before being sold about two decades later.

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This company had grown to a thirty four million dollar business.

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In nineteen ninety eight, Surgiu created his own practice, serving

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as a fractional chief products officer for seven SaaS companies

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in a variety of industries. During this period, he founded

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his third startup, and e learning company that pioneered the

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use of telesseminars for providing educational comment and in twenty

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thirteen he shifted his focus toward business coaching, becoming the

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first EOS implementer in New England. Over the past thirteen years,

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he's worked with over seventy five businesses from twenty to

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one thousand people in size, several of whom ended up

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executing successful exits while starting with thes. Over time, Sergiu

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enlarged his toolbox to other business operating systems, including Pinnacle,

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Scaling Up and ninety OS, as well as a wide

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variety of other bolt on services. From Colby to red teaming,

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to executive coaching to positive intelligence. As a perpetual learner,

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Surgiu has acquired over ten such certifications. If you know him,

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that's no surprise. Since twenty twenty four four, excuse me,

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Sergiu has immersed his work into the rapidly changing world

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of generative AI, developing and delivering several services aimed at

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both upskilling business leaders in collaborating with AI, as well

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as working as an AI consultant, guiding small to medium

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sized businesses through their process of transforming them into AI

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forward companies through his partnerships with Humans plus AI and

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more recently with WSI, a Toronto based AI consulting and

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training company. Here's what the part I love. His professional

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mission is to restore joy in humane performance for entrepreneurial leaders.

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His passion is to impact people into living meaningful, full

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expressed lives. He lives in the city of Boston. He's

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the proud father of two grown daughters. I love this too,

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and he's madly in love with his two grandsons. SERGEI,

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welcome to Winning Business Radio and TV, and thanks for

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being here.

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Thank you very much for having me again.

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Kevin of course, of course you're always fun to talk to.

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Tell us about your daughters first, and then of course

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your two grandkids.

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Well, it so happens that the day after tomorrow, I'm

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driving down from Boston to New York City and Long

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Island my daughter, So, my eldest daughter lives in the

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city in Chelsea, and my younger daughter lives in Long

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Island with her husband and the two munchkins as I

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call them, ten and eight years old.

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That's great, and I know they're You're the apple of

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their eyes too, So I want to know, and I

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know that viewers and listeners want to know a bit

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about your background. You know, I want to certainly talk

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about the AI work that you're doing, because it's fascinating,

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But how did you come to the fact tell us

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about that story and that journey.

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M Well, actually it all started when I was in

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high school. And you know, obviously this show is only

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an hour long, so you know, it will take a

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couple of hours to actually explain the whole context. But

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to make a long story short, it was basically a

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kind of a sudden realization that not only I, you know,

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really didn't like the communist regime, and a place where

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it was run by actually really harsh dictator, but also

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that you know, sort of like I had a feeling

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that I really don't belong there. So I started the

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process actually trying to get out of the country, and

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one way was to get a what was called an

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exit visa to go and visit some other country and

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then effactm there. It took about seven years, so I

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was already in the university. The computer science program was

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a five year program. So finally when I was in

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the fourth year, I received a visa and will be

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on July twenty second of this year, will be exactly

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forty five years since I boarded that plane, was an

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Alitalia flight from Bookers to Rome, Italy, and never look back.

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Wow, that's crazy, and you know it's twenty too, and

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I don't think people think back what it was actually

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like back then. So all right, I want to hear

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a little bit about I want you to share because

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I know it somewhat anyway about your musical background.

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Well, so it was interesting. So when I came to

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this I'm going to start actually in a different place.

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When I came to this country, I ended up in Minneapolis, Minnesota,

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because that's why where I had my consest family, I

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mean beyond my parents back in Romania, which was basically

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my uncle, my mother's brother, and my aunt. And they're

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only one daughter, so you know, first cousin. So going back,

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you know, quite a few years prior to that, when

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I was six years old, my cousin, who's about five

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years older than I am and with whom we relate

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like siblings because we are both actually only children, left Romania.

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There was nineteen six four, so and she was a

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She went to music school and she was playing violin.

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So I turned to my parents and I said, you know,

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I mean she was my idol. I mean I was,

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you know, as you can imagine, and of course at

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that age, since I was five years younger, well obviously

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you know, we couldn't relate to well. So she I

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was trying to follow her everywhere, and she was probably

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extremely annoyed by by it. But after she left, I

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desired I asked my parents, you know, I want to

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go and play an instrument. It was sort of like

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to me in a sense, I was following her track.

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So that's how I ended up playing well, initially violin,

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simply because it was you couldn't find a half or

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three quarters of size while viola, So I had to

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start with violin, and then I think about two or

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three years later, I switched to that I wanted to play,

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which was viola, and you got pretty good, well I got,

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you know, so it's interesting. The instrument was cool, but

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what was really attractive to me was the rest of it.

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Music theory, music history. I was playing an orchestra. I mean,

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all this kind of understanding music in a way that

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was beyond just you know, enjoying a good tune.

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In graduate schools.

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In your bio, one of your two areas of focus

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was interestingly AI, were you ahead of its time or

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was the program out of the time?

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Not really, I mean Artivisional intelligence is a subject that

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you know, most people don't realize. It's probably about fifty

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five plus years old. So there have been since the

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early times of computers, people have tried to start eating

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the way humans think, and there were various kinds of models.

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Some of them were but in those days we were

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calling expert systems rule based systems. People were trying various

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ways to actually emulate that, and one of them was

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to actually imitate what we think how the brain works,

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which is a network of small things that get connected,

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otherwise known as the neural network. So I remember actually

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taking a graduate course in neural networks. Now, neural networks

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happened to be actually the kind of background model for

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what became, you know, forty forty plus years later, generative AI.

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So we're going to get to those definitions in a

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few minutes. You started out here after graduate school in

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the software industry with companies like Myang, Samsung, and Oberon,

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spent some time there, and then you founded Panovskat Development Corp.

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Group.

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Excuse me, So I want to know, as as an entrepreneur,

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as a founder, what was behind your decision to start

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your own company at that time.

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So prior to that, I was working for all these startups,

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including one, and I met at a at a you know,

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kind of conference, a guy that ended up being my

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business partner, who was a brilliant and brilliant technologist, and

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he had invented a technology that was not really commercialized

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there and so forth. So we started talking and I

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got very interested in that. It was kind of capture

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my imagination. So we actually started working together and we

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started publishing papers about it, et cetera. And eventually we

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got a solicitation from Xerox Corporation. They were interested in

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embedding this into one of their new yorest products. And

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you know, there is this history because you know, we decided,

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oh so we should you know, create a business around it.

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So I quit my job, and he had a consulting practice,

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so quit anything and we started actually the business. And

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this was my first quarter of a million dollar sale

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at the time to Zerox, so we it was kind

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of an EO O M type of.

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Arrangement licensing license.

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You know.

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I ended up going to California quite a few times

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to actually train them on how to use it. That

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that was the kind of a genesis of my first startup.

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So then the second little while later, the second startup

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your founded that you founded New River Investors Communications.

225
00:13:57.240 --> 00:13:58.240
Tell us a bit about that one.

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00:13:59.200 --> 00:14:03.200
Well, that was actually sometimes I have to actually write

227
00:14:03.200 --> 00:14:06.440
a short novel about it, because it's kind of interesting.

228
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That was a business that was created in the exactly

229
00:14:10.200 --> 00:14:15.120
opposite way at which we actually teach entrepreneurs to start businesses.

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You know, we teach people, you know, find a problem

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00:14:18.240 --> 00:14:21.600
that people have and then develop something that will solve

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the problem. Then you have a business, and then you

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test it and see if there is attraction. What I

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00:14:27.480 --> 00:14:30.960
did it was exactly the opposite. So a friend of mine,

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00:14:31.639 --> 00:14:34.159
remember this is the year was ninety four ninety five.

236
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At the time, you could buy a computer, but you

237
00:14:36.679 --> 00:14:40.679
had to buy separately a browser, you know, Netscape that

238
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came on a city RAM or something like this. So

239
00:14:44.960 --> 00:14:48.960
I licensed a very interesting technology that allowed me to

240
00:14:48.960 --> 00:14:53.480
actually distribute large amounts of information on a single diskette

241
00:14:54.080 --> 00:14:57.320
with a browser embedded in the diskette. So then I

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00:14:57.360 --> 00:15:00.480
started looking for applications. You know, I had no idea

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00:15:01.159 --> 00:15:04.320
where to where this will be useful, but I had

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the sense that people will need ways to actually distribute information.

245
00:15:11.679 --> 00:15:15.840
So again, to make a very long story short, I

246
00:15:15.919 --> 00:15:18.720
ended up partnering with two guys who just bought a

247
00:15:19.639 --> 00:15:27.399
skept manufacturing business down Plymouth, Massachusetts, and uh incidentally they

248
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were one of their customers was Travelers Insurance in Hartford,

249
00:15:32.559 --> 00:15:38.159
and so I I trained the salespeople to always ask

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00:15:38.639 --> 00:15:41.600
do you need to you know, distribute some information. So

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one guy goes to you know, like a normal salesperson,

252
00:15:45.120 --> 00:15:50.399
you know, to do maintenance on his account, and he's

253
00:15:50.440 --> 00:15:54.519
talking to this director of variable annuities, and he asked him, so,

254
00:15:54.919 --> 00:15:58.759
do you guys need to distribute information, to which the

255
00:15:58.759 --> 00:16:04.039
director asked him, well, the guys can actually distribute prospectuses.

256
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He said, I don't know, but I'll call back my office.

257
00:16:09.039 --> 00:16:11.480
And so he capt in the car and he had

258
00:16:11.519 --> 00:16:15.200
one of those if you remember, those big car phones.

259
00:16:15.759 --> 00:16:17.759
So he picks up the phone and calls me, and

260
00:16:17.799 --> 00:16:19.240
I'm in the office, and I pick up the phone

261
00:16:19.240 --> 00:16:23.120
and says, well, can we distribute prospectuses, to which I said,

262
00:16:23.240 --> 00:16:28.159
what is the prospectus? I had done? So again a

263
00:16:28.240 --> 00:16:33.639
long story short, about three weeks later, I ended up.

264
00:16:33.759 --> 00:16:35.919
You know, I created a demo with prospectus as I

265
00:16:36.039 --> 00:16:39.679
actually hired somebody to type in one hundreds of pages

266
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because it was all paper. Yeah, So we went there

267
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and with demo stuffed. The guy at the Travelers literally

268
00:16:48.120 --> 00:16:52.000
his jaw dropped and he said, how much would cost

269
00:16:52.039 --> 00:16:54.639
me for one hundred and forty thousand copies of this?

270
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So we had no product, we had no, no, nothing.

271
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So my partner, who is basically the salesperson in this

272
00:17:05.400 --> 00:17:08.480
whole thing, he says, oh, yeah, I think we'll cost

273
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you probably about a dollar forty per copy. Now, the

274
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cost of the paper equivalent was about thirteen dollars. So

275
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he said, okay, send me an invoice. And that's how

276
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the whole thing started.

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That's when you know you priced it too low.

278
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All right, let's take our right, let's take our first

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commercial break. I know, I know it's too funny. Let's

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take our first commercial break right here. We'll be back

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in just about sixty seconds with the surge.

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And now back to Winning Business Radio with Kevin Helene,

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00:19:16.119 --> 00:19:19.960
presenting exciting topics and expert guests with one goal in

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mind to help you succeed in business.

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Here once again is Kevin Helene.

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00:19:32.519 --> 00:19:35.599
Welcome back, and we're with Sergei U. Simmel, who is

312
00:19:35.640 --> 00:19:38.640
a business business growth coach. We'll tell you more about

313
00:19:38.640 --> 00:19:43.480
that with a focus on AI. You then founded back

314
00:19:43.480 --> 00:19:45.279
to the story our learning company.

315
00:19:45.720 --> 00:19:46.880
Talk about that for a moment.

316
00:19:48.480 --> 00:19:54.480
So in our learning company, I actually turned a hobby

317
00:19:55.440 --> 00:20:00.480
into a business, which is not unusual. I've wrote has been,

318
00:20:01.079 --> 00:20:05.240
you know, interested in learning, and I would probably be

319
00:20:05.359 --> 00:20:10.720
so for for the duration as they say. So, there

320
00:20:10.759 --> 00:20:13.160
was a particular area of my life where I was

321
00:20:13.200 --> 00:20:16.799
learning a fair amount and I turned that into a

322
00:20:18.480 --> 00:20:23.119
way of actually distributing that learning as audiobooks to a

323
00:20:23.279 --> 00:20:27.160
much larger audience. So we started actually with physical products,

324
00:20:27.200 --> 00:20:31.000
but as the time went we ended up in this

325
00:20:31.160 --> 00:20:38.960
kind of new field of having learning done with in teleseminars.

326
00:20:39.000 --> 00:20:42.279
Well now we call them webinars. In those days, the

327
00:20:42.440 --> 00:20:46.240
bandwidth was not sufficient for videos, so it's just on audio,

328
00:20:46.319 --> 00:20:49.880
both through computers as well as on the phone. They

329
00:20:49.880 --> 00:20:54.680
were actually merged together. So I ran that company for

330
00:20:54.720 --> 00:20:57.680
about seven years, you know. Two thousand and eight actually

331
00:20:57.759 --> 00:21:02.279
hit us very hard. To finally shut it down into

332
00:21:02.359 --> 00:21:05.480
those in eleven and I went back to my practice

333
00:21:05.480 --> 00:21:10.200
as you mentioned earlier, of being a fractional chief products

334
00:21:10.200 --> 00:21:13.759
officer for software or SESS companies. Of course, all those

335
00:21:13.839 --> 00:21:18.920
terms are basically new, so we're applying them retroactively to

336
00:21:19.400 --> 00:21:21.200
those days for sure.

337
00:21:21.920 --> 00:21:25.440
All right, Then you did some consulting, principal principal consulting roles, coaching.

338
00:21:27.200 --> 00:21:28.720
I'm skipping it just a little, so I want to

339
00:21:28.759 --> 00:21:31.240
get to the media of this. Then you founded get

340
00:21:31.240 --> 00:21:34.079
Business Momentum in twenty thirteen, were among other things, you

341
00:21:34.279 --> 00:21:38.279
helped clients install EOS, which is the entrepreneurial operating system

342
00:21:38.279 --> 00:21:43.480
with the client companies, and you joined WSI last year

343
00:21:44.759 --> 00:21:47.200
to add to your AI practice.

344
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What are the most first of all?

345
00:21:50.319 --> 00:21:53.039
First of all, as we summarized that section of the show,

346
00:21:53.160 --> 00:21:56.279
what were your most important two or three lessons from

347
00:21:56.359 --> 00:21:58.759
founding several companies?

348
00:22:00.240 --> 00:22:05.279
So one is that you need to structure the company

349
00:22:06.720 --> 00:22:11.559
and to pay attention on how it operates. In fact,

350
00:22:11.599 --> 00:22:15.000
that was kind of the precursor learning that got me

351
00:22:15.079 --> 00:22:18.440
to be very interested in to resonate very well with

352
00:22:19.480 --> 00:22:24.559
the book that describes us, the Entrepreneurial Operating System that

353
00:22:24.640 --> 00:22:28.039
I read around twenty thirteen, and that's actually got me

354
00:22:28.079 --> 00:22:32.920
to shift my focus on that. So the you know,

355
00:22:33.039 --> 00:22:39.000
most founders, you know, they have an idea. They found

356
00:22:39.039 --> 00:22:43.079
a company more or less either the opposite of what

357
00:22:43.160 --> 00:22:47.240
I did or actually how I did for the first

358
00:22:47.240 --> 00:22:52.519
and the third business, and the company starts growing, and

359
00:22:53.000 --> 00:22:56.839
at some point in time there is a disconnect friction

360
00:22:56.960 --> 00:23:01.079
between how the company functions. In other words, kind of concepts,

361
00:23:01.119 --> 00:23:07.759
tools and disciplines govern how the company actually functions and

362
00:23:08.480 --> 00:23:12.200
the stage of development. The size of the company either

363
00:23:12.799 --> 00:23:19.079
number of people or number of clients or revenue. There

364
00:23:19.079 --> 00:23:22.000
are many ways in which you can look at size,

365
00:23:22.640 --> 00:23:28.319
and that friction has one, i mean several impacts, but

366
00:23:28.440 --> 00:23:33.440
one fundamental impact, which is it slows you down so

367
00:23:33.559 --> 00:23:36.720
you cannot scale the company. You know, there are these

368
00:23:37.000 --> 00:23:42.160
rules of thund that say that most businesses, as they grow,

369
00:23:42.640 --> 00:23:46.359
they get stuck around ten million dollars. You know this

370
00:23:46.400 --> 00:23:49.319
all of time. In fact, many of them get stuck

371
00:23:49.359 --> 00:23:53.160
at about two million dollars or three million dollars, and

372
00:23:53.160 --> 00:23:56.799
from there they either disappear because the founders don't know

373
00:23:56.960 --> 00:24:00.680
how to actually grow them, or and then the second category,

374
00:24:00.720 --> 00:24:03.880
they go up to ten million dollars and again they

375
00:24:03.920 --> 00:24:07.319
get stuck there. And they get stuck not because the entrepreneur,

376
00:24:07.880 --> 00:24:14.359
the founder is incapable of you know, packaging their software,

377
00:24:14.400 --> 00:24:17.559
I mean they're products or services the right way, or

378
00:24:17.599 --> 00:24:19.920
to talk to the market the right way, or to

379
00:24:19.960 --> 00:24:24.240
even sell, you know, getting into your area of expertise,

380
00:24:24.799 --> 00:24:32.119
primarily because the company internally is in chaos. And the

381
00:24:32.240 --> 00:24:38.359
chaos comes from many places, comes from people topics. We

382
00:24:38.440 --> 00:24:41.240
can get back to that if you want, comes from

383
00:24:41.880 --> 00:24:46.400
you know, a poorly formula strategy, comes from a whole

384
00:24:46.480 --> 00:24:50.880
bunch of failures in execution. As you know, most companies

385
00:24:50.920 --> 00:24:55.400
actually don't fail because they don't have the right ideas.

386
00:24:55.720 --> 00:24:59.720
They fail because they fail to execute them properly. And

387
00:24:59.720 --> 00:25:03.599
also so sometimes they you know, companies get stuck or

388
00:25:03.680 --> 00:25:09.759
fail because the founders doesn't understand fully the financial the

389
00:25:10.640 --> 00:25:16.640
enterprise value that is building, to understand actually how to

390
00:25:17.319 --> 00:25:23.440
take the numbers, the financial numbers and draw strategic conclusions

391
00:25:23.440 --> 00:25:30.160
to them. So that's basically, you know, one lesson that

392
00:25:30.200 --> 00:25:33.599
I talk The other lesson is that be careful with

393
00:25:33.720 --> 00:25:36.759
the people. In fact, now I tell them, you know,

394
00:25:36.839 --> 00:25:43.559
my friends and prospects and clients that I personally don't

395
00:25:43.599 --> 00:25:46.400
believe that there are such things as business issues. There

396
00:25:46.400 --> 00:25:52.440
are only people issues. I agree, And and essentially you

397
00:25:52.599 --> 00:25:58.839
need to solve any people issues in order to actually grow,

398
00:25:58.960 --> 00:26:02.319
and people issues are difficult to solve. I mean, it

399
00:26:02.400 --> 00:26:07.559
goes without saying that humans are complex. There is. There

400
00:26:07.559 --> 00:26:11.400
are all kinds of levels of complexity there there is.

401
00:26:11.759 --> 00:26:15.279
You know, they have to have the skills, that's the

402
00:26:15.359 --> 00:26:19.160
easy part. They have to have the embrace the right

403
00:26:19.720 --> 00:26:23.279
core values for the business. That's a harder thing. They

404
00:26:23.319 --> 00:26:25.839
have to have the right kind of attitude and the

405
00:26:25.880 --> 00:26:30.759
right kind of motivation. That's even more difficult thing. And

406
00:26:30.799 --> 00:26:34.119
also they have to approach doing things in a certain

407
00:26:34.160 --> 00:26:37.599
way that's actually compatible with their colleagues, with their mission.

408
00:26:38.640 --> 00:26:43.640
So all of that stuff creates a level of complexity

409
00:26:43.720 --> 00:26:49.920
that needs to be addressed, and systems are one solution

410
00:26:50.119 --> 00:26:53.680
plus a form of i mean a skill of leadership

411
00:26:54.599 --> 00:26:57.480
in order to actually address all those issues.

412
00:26:57.880 --> 00:27:00.759
Yeah, I mean, the brilliance and skill of a founder

413
00:27:00.880 --> 00:27:03.480
of an entrepreneur is not always the same skill that's

414
00:27:03.519 --> 00:27:04.599
needed to scale.

415
00:27:05.039 --> 00:27:09.599
Absolutely absolutely true. And some some founders you know, go

416
00:27:09.680 --> 00:27:12.680
all the way to you know, end up with billion

417
00:27:12.839 --> 00:27:16.759
or these days even triviaal to other companies and others,

418
00:27:17.279 --> 00:27:20.599
you know, not because they're not intelligent or they miss

419
00:27:20.680 --> 00:27:24.480
something is just not in their DNA. They are, you know,

420
00:27:24.599 --> 00:27:29.079
great inventors of products and services. But when it comes

421
00:27:29.119 --> 00:27:34.160
to actually you know, put a team together, leadership team together, developed,

422
00:27:34.160 --> 00:27:38.240
the leadership team, develop other people, coach them appropriately so

423
00:27:38.359 --> 00:27:42.359
they so that the founder him or herself doesn't get

424
00:27:42.400 --> 00:27:46.640
in the way of actually growing the company, that's a

425
00:27:46.720 --> 00:27:50.599
totally different set of skills. And you know, a matter

426
00:27:50.640 --> 00:27:52.960
of in a sense imagination.

427
00:27:53.279 --> 00:27:56.279
All right, I want to get to AI in general

428
00:27:56.359 --> 00:28:00.240
and specific here when we think of what in the

429
00:28:00.279 --> 00:28:04.759
common man, right, when when I think of AI, what

430
00:28:04.759 --> 00:28:06.359
do most people think of in your mind?

431
00:28:07.880 --> 00:28:13.400
Well, they think about something that seems to be similar

432
00:28:13.440 --> 00:28:17.119
to people, you know, they think about these days and

433
00:28:17.440 --> 00:28:22.079
twenty twenty six. They think about a chat box, whether

434
00:28:22.119 --> 00:28:25.880
that's chat, ChiPT or Quality or Gemini that you can

435
00:28:25.920 --> 00:28:28.640
actually have a conversation with. And it seems to be

436
00:28:28.680 --> 00:28:33.119
the extremely good language. You know, the answers are like brilliant.

437
00:28:33.599 --> 00:28:37.759
It seems to be knowing a lot of stuff. It

438
00:28:37.920 --> 00:28:41.559
seems to be able to actually put things together for

439
00:28:41.680 --> 00:28:45.880
you and to help you, you know, speed things up.

440
00:28:46.599 --> 00:28:49.640
So it's a whole bunch of you know, qualities that

441
00:28:50.440 --> 00:28:56.279
seem to be really attractive and possibly able to solve

442
00:28:56.839 --> 00:28:59.200
various business or personal problems.

443
00:28:59.400 --> 00:29:01.200
All right, let me get a couple of definitions on

444
00:29:01.240 --> 00:29:04.960
the table you mentioned you started to talk about generative AI.

445
00:29:05.119 --> 00:29:06.599
What is generitive AI?

446
00:29:06.960 --> 00:29:10.160
Generally, it's a form it's a form of AI that

447
00:29:10.359 --> 00:29:14.839
is based on you know, a technology does invent actually

448
00:29:14.880 --> 00:29:20.440
at Google called Transformer, And if I were to actually

449
00:29:20.480 --> 00:29:25.000
explain it in the simplest possible way, I would say

450
00:29:25.039 --> 00:29:30.640
that it's a technology that knows very well what the

451
00:29:30.680 --> 00:29:36.240
next word that's I'm simplifying here what the next word

452
00:29:36.599 --> 00:29:39.000
needs to be? How does he know that? Because it

453
00:29:39.079 --> 00:29:44.279
has been actually trained using enormous amounts of data is

454
00:29:44.400 --> 00:29:51.119
in fact almost the entirety of the web or the

455
00:29:51.200 --> 00:29:54.400
internet in all kinds of ways. So everything that was

456
00:29:54.559 --> 00:29:58.960
captured and there is somewhere that is accessible so it's

457
00:29:59.000 --> 00:30:03.039
not behind some sort of a very well guarded wall,

458
00:30:04.000 --> 00:30:08.240
becomes a source for training. So given this enormous amounts

459
00:30:08.240 --> 00:30:13.119
of data, the software, the model is it's referred to,

460
00:30:13.519 --> 00:30:16.279
is able to actually get the next word, which means

461
00:30:16.319 --> 00:30:22.599
basically that it actually mimics very very well how we

462
00:30:22.920 --> 00:30:28.720
humans you know, speak and the reason So now on

463
00:30:28.720 --> 00:30:35.559
on top of that, modern or more recent models have

464
00:30:36.440 --> 00:30:41.720
very strong reasoning capabilities. So it's think of it. It's

465
00:30:41.759 --> 00:30:45.240
almost like two layers. One is the you know, the

466
00:30:46.079 --> 00:30:48.640
verbal part, but the other one is being able to

467
00:30:48.640 --> 00:30:54.440
actually connect things together to make inferences, to actually understand

468
00:30:55.400 --> 00:30:59.240
and I'm putting you know, quotation marks there right to

469
00:30:59.440 --> 00:31:03.640
seem to under stand where we are going, what what

470
00:31:05.200 --> 00:31:10.079
type of results they should provide us with, and they

471
00:31:10.119 --> 00:31:11.519
do all right.

472
00:31:11.559 --> 00:31:15.000
What's machine learning, Well.

473
00:31:14.759 --> 00:31:18.880
It's it's the learning part of AI. It's it's the

474
00:31:19.359 --> 00:31:25.440
ability to take information, large amounts of information and and

475
00:31:25.559 --> 00:31:28.799
actually learn from it, so that we can have the

476
00:31:29.480 --> 00:31:35.480
machine can actually create inferences, so the deductive influences from

477
00:31:35.839 --> 00:31:40.720
those facts and develop other ideas and facts from those

478
00:31:41.640 --> 00:31:47.079
existing facts. So it's basically again mimicking the way we

479
00:31:47.400 --> 00:31:51.240
think human brains work when they learn.

480
00:31:52.240 --> 00:31:54.000
Now, what about large There is the last of the

481
00:31:54.039 --> 00:31:56.400
three large language models.

482
00:31:57.319 --> 00:32:01.759
So this is these are the implementation of generative AI

483
00:32:01.839 --> 00:32:06.599
in a sense. So why is it a large language

484
00:32:06.640 --> 00:32:11.920
because again, it uses vast amounts of information to actually

485
00:32:11.960 --> 00:32:18.880
learn as to use the the appropriate terminology that gets

486
00:32:18.960 --> 00:32:24.160
trained on and so and there is a model because

487
00:32:24.400 --> 00:32:26.920
it's a it's a model of the of what we

488
00:32:27.079 --> 00:32:31.880
think the brain or the mind works like. So so

489
00:32:31.920 --> 00:32:35.519
we create a model of that that's based on science,

490
00:32:35.640 --> 00:32:42.319
of our theories of of brain science that reflect where

491
00:32:42.319 --> 00:32:45.440
we think how we think those you know, our brains

492
00:32:45.440 --> 00:32:52.039
actually work, and we are able to create, you know,

493
00:32:52.799 --> 00:32:57.599
a an interface to that model that seems to be

494
00:32:57.920 --> 00:33:01.279
really close to mimicking human behavior.

495
00:33:02.359 --> 00:33:02.599
Thank you.

496
00:33:02.680 --> 00:33:04.400
All right, We're going to take our second break right here,

497
00:33:04.440 --> 00:33:06.000
and then we'll come back and talk about the current

498
00:33:06.000 --> 00:33:07.880
work that you're doing with your clients and why it's

499
00:33:07.880 --> 00:33:11.079
so important. We'll be back in another sixty seconds.

500
00:33:14.759 --> 00:33:18.720
You're listening to Winning Business Radio with Kevin Helene on

501
00:33:19.000 --> 00:33:23.079
W four CY Radio. That's W four cy dot com.

502
00:33:23.119 --> 00:33:23.759
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503
00:33:23.920 --> 00:33:26.680
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504
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528
00:34:44.280 --> 00:34:47.039
And now back to Winning Business Radio with Kevin Helen

529
00:34:47.119 --> 00:34:51.039
in presenting exciting topics and expert guests with one goal

530
00:34:51.119 --> 00:34:54.480
in mind to help you succeed in business. Here once

531
00:34:54.480 --> 00:34:56.000
again is Kevin Helena.

532
00:35:03.800 --> 00:35:07.320
We are back with Sergiu Simel. So you tell us

533
00:35:07.400 --> 00:35:10.599
about the type of client that you tend to work

534
00:35:10.639 --> 00:35:12.480
with and then we'll talk about the work that you do.

535
00:35:14.199 --> 00:35:20.360
So to use the technical term ICP or ideal client profile.

536
00:35:21.880 --> 00:35:26.239
So over the past thirteen years, the type of clients

537
00:35:26.239 --> 00:35:31.760
that I've been serving are businesses or that I would

538
00:35:31.760 --> 00:35:35.400
refer to as small to medium sized businesses. The way

539
00:35:35.480 --> 00:35:39.800
I characterize their size is primarily by the size of

540
00:35:39.800 --> 00:35:42.880
the organization, so somewhere between say twenty to about one

541
00:35:42.920 --> 00:35:48.079
thousand people. The largest business that i've that were, you know,

542
00:35:48.639 --> 00:35:52.239
one of my clients was about a nine hundred percent company,

543
00:35:52.320 --> 00:35:57.079
So invents this. I don't have a particular vertical specialization

544
00:35:58.000 --> 00:36:02.639
like an industry. Some In fact, my kind of thirst

545
00:36:02.679 --> 00:36:05.679
for learning makes it actually fun for me to go

546
00:36:05.840 --> 00:36:08.960
from the industry to industry and learn new things that

547
00:36:09.000 --> 00:36:12.440
I've never thought. I'll give you an example. Many years ago,

548
00:36:12.440 --> 00:36:14.880
for several years, I had one of my clients beat

549
00:36:14.920 --> 00:36:18.559
the largest dairy farm in Connecticut. Well, I tell you

550
00:36:18.679 --> 00:36:23.199
before that I knew absolutely zero or nothing about the farm.

551
00:36:23.239 --> 00:36:26.119
In fact, I've never actually even met a dairy farmer.

552
00:36:28.360 --> 00:36:33.599
Well maybe so, so that was actually very interesting. So

553
00:36:33.639 --> 00:36:37.519
I worked with companies from that to the opposite, which

554
00:36:37.559 --> 00:36:41.679
is you know, software companies and marketing agencies and you

555
00:36:42.079 --> 00:36:46.400
name it. Uh. In terms of location, you know, my

556
00:36:46.480 --> 00:36:51.760
clients have been, you know, all over the world, primarily

557
00:36:51.800 --> 00:36:54.800
North America. I've had a couple of clients that were

558
00:36:54.840 --> 00:36:58.800
actually transnational, of course, the majority were kind of in

559
00:36:58.840 --> 00:37:03.239
the Northeast, just by the nature of referrals and so forth.

560
00:37:03.280 --> 00:37:07.239
So what are the problems that they've got, even if

561
00:37:07.239 --> 00:37:09.880
they don't know them yet, what right as you observe them?

562
00:37:09.880 --> 00:37:13.960
What are the problems that these companies have that you solve.

563
00:37:15.159 --> 00:37:21.119
So we spoke earlier about limits of growth or skilling. Yes,

564
00:37:21.639 --> 00:37:25.639
so one fundamental problem, especially viewed from the perspective of

565
00:37:25.679 --> 00:37:30.599
the owner or founder or CEO, is that they capped

566
00:37:31.559 --> 00:37:35.360
it seems that they kept their ability to grow or

567
00:37:35.360 --> 00:37:39.719
to scale. So no matter what they what they do,

568
00:37:39.760 --> 00:37:43.519
they just seem to be kind of the term is dolphining,

569
00:37:43.960 --> 00:37:47.800
you know around you know, five or ten billion dollars

570
00:37:47.880 --> 00:37:50.360
and so forth. So that's one thing again from the

571
00:37:50.400 --> 00:37:53.119
perspective of the owner, because most of them are actually

572
00:37:53.159 --> 00:37:55.880
privatly health not all of them, but that I've worked

573
00:37:55.920 --> 00:38:01.400
with from the owner's perspective or can be multiple orners. Uh,

574
00:38:02.000 --> 00:38:06.800
And that's basically the world of family businesses. You know,

575
00:38:06.840 --> 00:38:09.360
there is a certain level of frustration not just with

576
00:38:09.559 --> 00:38:13.400
lack of growth, but also with, to put it bluntly,

577
00:38:14.000 --> 00:38:18.159
the amount of work that the owner CEO seems actually

578
00:38:18.239 --> 00:38:22.480
doing and at some point in time getting unhappy that

579
00:38:22.519 --> 00:38:26.559
they're they're working way too hard for the for the results.

580
00:38:27.199 --> 00:38:31.159
So that's another. A third kind of frustration is the

581
00:38:31.199 --> 00:38:35.639
frustration with people that you know, CEOs, let's say that

582
00:38:35.679 --> 00:38:39.800
way may have so you know, it seems to be

583
00:38:39.880 --> 00:38:43.039
that you know, their leadership or senior leadership team seems

584
00:38:43.079 --> 00:38:46.400
to be now misaligned to their vision or where the

585
00:38:46.400 --> 00:38:50.519
company is going, or they are very siloed and they

586
00:38:50.559 --> 00:38:52.519
don't talk to each other the right way, they are

587
00:38:52.519 --> 00:38:57.880
not collaborative. There's a lot of sometimes drama and tension

588
00:38:58.000 --> 00:39:03.599
among the people again issues right right, and and and

589
00:39:03.679 --> 00:39:06.559
finally you know, a francision that things don't get done,

590
00:39:07.000 --> 00:39:10.960
don't get done fast enough. So all of that stuff

591
00:39:13.000 --> 00:39:16.320
gets addressed in several ways. But if I were to

592
00:39:16.480 --> 00:39:19.400
kind of package the whole addressing is that we have

593
00:39:19.480 --> 00:39:24.559
to actually get again their their operating system to support

594
00:39:24.719 --> 00:39:29.440
the solutions. And it so happens that over the past

595
00:39:29.599 --> 00:39:34.320
twenty or so years there've been a number of business

596
00:39:34.320 --> 00:39:39.039
operating systems that were developed and and tested over you know,

597
00:39:39.480 --> 00:39:43.599
literally now hundreds of thousands of businesses. It's to be

598
00:39:43.719 --> 00:39:50.199
working well and kind of unlinching the those businesses' ability

599
00:39:50.280 --> 00:39:53.360
to actually grow fast and run smoothly. Now I'm not

600
00:39:53.400 --> 00:39:57.000
saying that all of those businesses succeed. There are many

601
00:39:57.000 --> 00:40:00.519
other considerations, market shifts and so for things that we

602
00:40:00.559 --> 00:40:06.760
cannot actually control. But the inner game of the of

603
00:40:06.840 --> 00:40:12.679
the how the business actually operates is uh is brought

604
00:40:12.760 --> 00:40:16.079
to a the way I put it to a kind

605
00:40:16.079 --> 00:40:19.239
of well oiled machine.

606
00:40:20.000 --> 00:40:23.320
When you say business operating system help people understand what

607
00:40:23.320 --> 00:40:23.920
that looks like.

608
00:40:24.800 --> 00:40:30.360
So, as I think I mentioned really in passing, one way,

609
00:40:30.559 --> 00:40:33.199
one very simple way to think about it is that

610
00:40:33.280 --> 00:40:39.360
it's a collection of concepts, tools, and disciplines. Now the concepts,

611
00:40:39.960 --> 00:40:42.000
I'll give you an example. You know, I don't know

612
00:40:42.039 --> 00:40:45.840
the concept of a weekly a team meeting, it's a concept,

613
00:40:45.880 --> 00:40:49.679
or the concept of a uh, you know, morning huddle,

614
00:40:50.039 --> 00:40:54.639
it's a concept. But the concept of a quarterly priority

615
00:40:54.880 --> 00:40:57.480
otherwise known as a rock is a concept. Then there

616
00:40:57.480 --> 00:41:01.679
are tools to be used how we actually there's a tool,

617
00:41:02.320 --> 00:41:04.800
let's call it. For example, in the US, there's a

618
00:41:04.840 --> 00:41:11.519
tool of solving issues or or or problems called ideas.

619
00:41:12.079 --> 00:41:16.840
There's a tool. There are tools to structure and describe

620
00:41:17.119 --> 00:41:21.639
the roles and responsibilities of different different seats or jobs

621
00:41:21.679 --> 00:41:26.000
within the organization, essentially a kind of an org chart

622
00:41:26.119 --> 00:41:29.400
on steroids, et cetera. And then there are the disciplines.

623
00:41:29.559 --> 00:41:34.880
The discipline is basically what how people acquire as individuals

624
00:41:34.880 --> 00:41:38.039
as well as as groups, you know, teams, the discipline

625
00:41:38.079 --> 00:41:42.920
of actually following these uh, the these tools, using them appropriately,

626
00:41:43.480 --> 00:41:48.079
getting into a different rhythm of and actually maintaining that

627
00:41:48.239 --> 00:41:53.239
rhythm over time. Being able to create goals that actually

628
00:41:53.280 --> 00:41:58.639
are aligned with the company's uh long term long term goals,

629
00:41:58.960 --> 00:42:02.320
et cetera. So that's basically the business operating system. So

630
00:42:02.480 --> 00:42:05.639
another view of this is you can think of it

631
00:42:05.679 --> 00:42:09.440
as having you know, four buckets. There is the people bucket,

632
00:42:09.440 --> 00:42:13.400
which is, you know, sometimes the most difficult to deal with,

633
00:42:13.800 --> 00:42:17.400
is a strategy bucket. How are we actually going to

634
00:42:17.440 --> 00:42:20.840
the market, how are we different than all the other competitives,

635
00:42:20.880 --> 00:42:24.159
et cetera, et cetera. There's the execution bucket, as I mentioned,

636
00:42:24.280 --> 00:42:26.920
and then there is what I would call the financial

637
00:42:27.119 --> 00:42:30.199
or the enterprise value bucket. You know, how do we

638
00:42:30.239 --> 00:42:35.800
make sure that we constantly increase the value of the business.

639
00:42:36.480 --> 00:42:39.519
Right now, this is probably a long question. I hope

640
00:42:39.559 --> 00:42:41.280
it is a long answer. Rather, I hope it is

641
00:42:41.639 --> 00:42:48.239
how do you see AI changing, enhancing, making that whole

642
00:42:48.280 --> 00:42:49.159
thing work better?

643
00:42:51.760 --> 00:42:56.599
So it's very interesting, I mean, the whole topic. I

644
00:42:56.599 --> 00:42:59.400
can probably speak for a couple of days or had

645
00:42:59.400 --> 00:43:02.920
the conversation with your work about this, but think of it.

646
00:43:04.480 --> 00:43:07.360
One way to think about it is that AI is

647
00:43:07.440 --> 00:43:12.119
forcing us to change the way we do work. I'll

648
00:43:12.119 --> 00:43:15.480
give you a simple example. So we are conditioned or

649
00:43:15.519 --> 00:43:21.639
trained from early ages, probably since we were verbal, that

650
00:43:21.760 --> 00:43:24.559
when we have a problem in front of us, we

651
00:43:24.679 --> 00:43:27.679
basically go and start trying to solve it, and we

652
00:43:27.800 --> 00:43:31.280
use our brain. If we are knowledge oriented people, we

653
00:43:31.400 --> 00:43:35.800
use our brain and our capabilities or our intuition, our

654
00:43:35.840 --> 00:43:40.840
deductive cut capability and to solve the problem. So that's

655
00:43:40.920 --> 00:43:47.159
how we implicitly go about solving actually doing work. So

656
00:43:47.239 --> 00:43:50.639
the implicit question there is, oh, here's a problem, how

657
00:43:50.639 --> 00:43:53.960
do I solve it? Well, that question needs to be changed,

658
00:43:54.920 --> 00:43:56.559
or it's in the process of the change, in the

659
00:43:56.559 --> 00:44:00.239
presence of AI to change. So instead of asking ourselves

660
00:44:00.280 --> 00:44:03.119
again this is not explicit, it's not like we are

661
00:44:03.159 --> 00:44:06.960
actually doing those saying those worst ourselves. Instead of asking ourselves,

662
00:44:07.000 --> 00:44:09.920
how do I solve this problem, the question, the replacement

663
00:44:10.000 --> 00:44:12.599
question is how do I use AI or how do

664
00:44:12.639 --> 00:44:18.840
I engage AI to help me solve this problem. Now

665
00:44:18.880 --> 00:44:22.800
it sounds trivial, but it's very hard because we are

666
00:44:22.920 --> 00:44:26.800
so used to doing things the way I describe it.

667
00:44:27.159 --> 00:44:30.559
So now think about So let's set that aside for

668
00:44:30.559 --> 00:44:34.960
a second. Think about now the business operating system, Well,

669
00:44:35.039 --> 00:44:38.480
what is this business operating It's actually this collection of

670
00:44:38.559 --> 00:44:42.559
you know, concepts tools and disciplines that help us doing

671
00:44:42.599 --> 00:44:47.920
the work. In a sense, they describes the way we

672
00:44:47.960 --> 00:44:52.199
do work inside an organization, not individually, but inside and

673
00:44:52.440 --> 00:44:56.559
an organization inside the team. So if you start actually

674
00:44:56.719 --> 00:45:03.280
thinking that way, AI becomes actually a thing to infuse

675
00:45:03.800 --> 00:45:08.320
everything that we do with. So and a company that

676
00:45:10.320 --> 00:45:13.880
for example, the companies that get created now where AI

677
00:45:14.199 --> 00:45:17.320
is actually brought in as the play the role of

678
00:45:17.440 --> 00:45:21.880
almost like electricity is everywhere. Uh. These are sometimes referred

679
00:45:21.880 --> 00:45:25.519
to as AI native companies or a company that's been

680
00:45:25.559 --> 00:45:29.519
around for some time and has now the leadership has

681
00:45:29.559 --> 00:45:33.239
decided to actually transform it so that they can take

682
00:45:33.280 --> 00:45:36.000
advantage of the presence of AI. The same way in

683
00:45:36.079 --> 00:45:40.519
the early nineteen hundreds, Uh, you know, business leaders decided

684
00:45:40.559 --> 00:45:43.599
to transform their business and instead of using I don't know,

685
00:45:43.960 --> 00:45:47.760
steam engines to use electricity instead. Now that thing is

686
00:45:47.800 --> 00:45:51.760
trivial now, but it took decades to to to arrive

687
00:45:51.840 --> 00:45:57.880
at that concept. So again back to back to AI.

688
00:45:58.719 --> 00:46:01.840
These companies are you know, what I would call AI

689
00:46:01.880 --> 00:46:06.320
emergent companies, companies that actually, over some period that I've

690
00:46:06.440 --> 00:46:09.920
transformed themselves. And there are all kinds of implications of

691
00:46:09.960 --> 00:46:15.679
that transformation. If you actually start literally understanding what kinds

692
00:46:15.719 --> 00:46:18.280
of things you can do with AI. Now, having said

693
00:46:18.320 --> 00:46:21.320
all that, I have to introduce you as another complication,

694
00:46:21.719 --> 00:46:26.280
which is AI is evolving itself area rapidly. You know,

695
00:46:26.719 --> 00:46:31.119
literally every month or every two weeks, we have almost

696
00:46:31.400 --> 00:46:37.840
a different level of AI capabilities. So it's that proverbal

697
00:46:38.480 --> 00:46:41.159
I'm flying the airplane while I'm actually building the airplane.

698
00:46:42.119 --> 00:46:46.559
That's crazy, That's true, that that's a challenge, but it

699
00:46:46.679 --> 00:46:53.039
is reality as it is. So in my view, companies

700
00:46:53.079 --> 00:46:58.280
that are neither native AI native nor AI emergent have

701
00:46:58.400 --> 00:47:02.280
only one future in front of them, which is basically absolescence.

702
00:47:03.079 --> 00:47:11.400
Because absolutely, there's no question any in any vertical, in

703
00:47:11.519 --> 00:47:14.760
any industry, in any you know, sector of the of

704
00:47:14.800 --> 00:47:19.599
the economy, sooner or later a competitor will figure out

705
00:47:19.599 --> 00:47:23.440
a way to engage with the I so well that

706
00:47:24.639 --> 00:47:28.800
not only their ability to produce things faster at a

707
00:47:28.880 --> 00:47:32.679
lower price and the better quality, because it's not just

708
00:47:32.760 --> 00:47:36.639
about productivity here, it's actually also about quality.

709
00:47:36.960 --> 00:47:39.880
In my own practice, I use AI every day, and

710
00:47:40.840 --> 00:47:43.239
what one of the things that I helps me do

711
00:47:43.400 --> 00:47:47.480
is actually, for example, ask better questions. You know, I'm

712
00:47:47.480 --> 00:47:50.880
a coach, so my you know, my job is to

713
00:47:50.920 --> 00:47:56.360
ask questions to guide my clients to figure out how

714
00:47:56.400 --> 00:48:00.119
to solve their problems. Well, you know, obviously, over the

715
00:48:00.119 --> 00:48:03.800
course of thirteen years and seventy five companies and lots

716
00:48:03.840 --> 00:48:07.440
of sessions with clients, I've learned the art and the

717
00:48:07.480 --> 00:48:11.320
science of asking good questions. But I don't have all

718
00:48:11.360 --> 00:48:15.039
the questions in the world. And AI is helping me

719
00:48:15.079 --> 00:48:18.639
actually figure out new questions to ask to ask so

720
00:48:18.679 --> 00:48:22.519
that I can help I can better help my clients

721
00:48:22.599 --> 00:48:24.400
sew their issues faster.

722
00:48:25.360 --> 00:48:27.199
It's also a productivity tool.

723
00:48:27.280 --> 00:48:30.559
Any processed well, I would say most processes that we

724
00:48:30.679 --> 00:48:35.199
perform can be automated, whether it's whether it's creating invoices

725
00:48:36.639 --> 00:48:41.480
for whether it's sending notices, whether it's inbox. I mean

726
00:48:41.519 --> 00:48:43.840
an inbox is something that takes somebody a lot of time.

727
00:48:43.920 --> 00:48:44.840
I know there are tools for that.

728
00:48:45.719 --> 00:48:50.000
Well, yes, and I want to actually mention something in

729
00:48:50.000 --> 00:48:54.239
that zone, which is we have to be also very

730
00:48:54.320 --> 00:48:58.880
very careful there because I also subscribe to the notion

731
00:48:59.079 --> 00:49:04.480
of what I would call the human in the loop. See, yes,

732
00:49:04.519 --> 00:49:10.280
we can automate a lot of stuff. However, at the

733
00:49:10.360 --> 00:49:13.679
end of the day, we are accountable. We the humans

734
00:49:13.719 --> 00:49:16.880
are accountable for what we produce. So when you get

735
00:49:17.239 --> 00:49:23.480
a silly email or LinkedIn d M, you know, direct

736
00:49:23.519 --> 00:49:27.440
message or some other communication that seems to come from

737
00:49:27.719 --> 00:49:32.280
nowhere and seems to be basically so perfect and has

738
00:49:32.760 --> 00:49:36.800
no context, it seems to be basically totally ignorant of

739
00:49:36.880 --> 00:49:43.119
who I am because it was produced by an AI entity,

740
00:49:43.880 --> 00:49:46.239
you know, let's say an AI agent if you want

741
00:49:46.280 --> 00:49:51.159
to use that term, and there was no human in

742
00:49:51.199 --> 00:49:54.599
the loop to actually make sure that the quality and

743
00:49:54.639 --> 00:49:59.280
the appropriateness of that message is where it is where

744
00:49:59.280 --> 00:50:02.119
it's supposed to. Then we have a problem because at

745
00:50:02.159 --> 00:50:08.039
the end of the day, human judgment remains human judgment.

746
00:50:08.239 --> 00:50:12.360
The ability to distinguish between bad and good is not

747
00:50:13.760 --> 00:50:17.360
something that we can, at least at this stage delegate

748
00:50:17.400 --> 00:50:17.639
to a.

749
00:50:18.559 --> 00:50:20.960
That's that's a great way to end. Believe it or not,

750
00:50:21.480 --> 00:50:23.159
We've got to end this. I feel like we're just

751
00:50:23.199 --> 00:50:25.840
getting started in such a deep topic. But what is

752
00:50:25.880 --> 00:50:27.519
the best way for people to get in touch with you?

753
00:50:28.360 --> 00:50:30.360
Well, so, first of all, I have a unique name,

754
00:50:30.440 --> 00:50:34.960
so they can go to links search for me, or

755
00:50:35.400 --> 00:50:39.840
they can send me an email at S S S

756
00:50:39.920 --> 00:50:44.199
triple S. Yes, my middle initial is also at get

757
00:50:44.280 --> 00:50:48.800
business Momentum dot com. Very good, UH, and and we

758
00:50:48.920 --> 00:50:50.519
started from there excellent.

759
00:50:50.599 --> 00:50:53.280
Well listen, thank you so much. I know you're super busy.

760
00:50:53.280 --> 00:50:55.199
I really appreciate your time and thanks for being here

761
00:50:56.599 --> 00:50:56.920
very much.

762
00:50:57.000 --> 00:51:01.320
Appreciating Kevin and UH have a great rest of.

763
00:51:01.280 --> 00:51:04.239
The day, you too, and thank you everybody for watching

764
00:51:04.280 --> 00:51:06.880
and listening. This is a show about business, both successes

765
00:51:06.920 --> 00:51:10.880
and challenges. If you've got concerns about the sales effectiveness

766
00:51:10.880 --> 00:51:13.079
of your company, whether your sales team is you or

767
00:51:13.119 --> 00:51:15.480
small or large, and you'd like to learn more about

768
00:51:15.480 --> 00:51:18.960
implementing Sandler in your business, and you're in Massachusetts or

769
00:51:19.079 --> 00:51:22.039
were referred by one of our clients, contact me at

770
00:51:22.039 --> 00:51:26.360
go dot Sandler dot com, slash KGH or email me

771
00:51:26.440 --> 00:51:29.519
at Kevin dot hallenan at Sandler dot com. Otherwise, please

772
00:51:29.599 --> 00:51:32.000
visit Sandler dot com to find a Sandler Training center

773
00:51:32.000 --> 00:51:34.639
that serves your area. At Sandler Training, I always say

774
00:51:34.639 --> 00:51:38.400
we develop sales teams into high achievers and sales leaders

775
00:51:38.480 --> 00:51:41.199
into true coaches and mentors. We're not a fit for everybody,

776
00:51:41.199 --> 00:51:43.679
but maybe we should have a conversation. Thank you to

777
00:51:43.760 --> 00:51:46.280
one once again for job well done behind the scenes

778
00:51:46.320 --> 00:51:48.519
on the board. Be sure to join us next week,

779
00:51:48.559 --> 00:51:51.559
that's Monday, June twenty second, when my guests plural will

780
00:51:51.559 --> 00:51:55.599
be Jim and Danavarney, founders of Wavelength Coffee Roasters. I've

781
00:51:55.599 --> 00:51:57.639
been drinking it for two weeks. You'll like it too.

782
00:51:57.760 --> 00:51:59.199
Until then, this is Kevin Hallinan.

783
00:52:01.599 --> 00:52:04.360
You have been listening to Winning Business Radio with your host,

784
00:52:04.519 --> 00:52:07.639
Kevin Helenan. If you missed any part of this episode,

785
00:52:07.679 --> 00:52:11.840
The podcast is available on Talk for Podcasting and iHeartRadio.

786
00:52:12.320 --> 00:52:16.000
For more information and questions, go to Winning Business Radio

787
00:52:16.159 --> 00:52:19.199
dot com or check us out on social media. Tune

788
00:52:19.199 --> 00:52:21.280
in again next week and every Monday at four pm

789
00:52:21.320 --> 00:52:24.800
Eastern Time to listen live to Winning Business Radio on

790
00:52:25.079 --> 00:52:29.360
W four CY Radio W four cy dot com. Until then,

791
00:52:29.719 --> 00:52:33.320
let's succeed where others have failed and win in business

792
00:52:33.599 --> 00:52:37.400
with Kevin Helenan and Winning Business Radio