AI Promise in Business Ops: Boosting Productivity, Labor Impact, and Ethical Concerns with Colin Britton

AI Promise in Business Ops: Boosting Productivity, Labor Impact, and Ethical Concerns with Colin Britton

The potential of AI is to enhance the productivity of top performers within organizations. The focus is on leveraging AI to elevate the performance of senior employees rather than just junior staff. By empowering top players with AI tools, businesses can drive productivity improvements from a top-down perspective, leading to more significant overall gains in efficiency and effectiveness.

The guest, Colin Britton, shares his extensive experience in utilizing data science and machine learning technologies to drive business outcomes. He highlights the evolution of these technologies over the years, emphasizing the importance of leveraging unstructured and semi-structured data to make informed decisions and optimize operations. Colin's insights shed light on the transformative power of AI in enhancing critical thinking and problem-solving capabilities within organizations.

As AI continues to revolutionize business operations, there is a growing need to address ethical concerns surrounding data privacy and security. Colin emphasizes the importance of maintaining a balance between leveraging AI tools for productivity gains and ensuring the protection of sensitive business information. By adopting a secure productivity approach, organizations can harness the benefits of AI while safeguarding against potential risks and vulnerabilities.

The conversation also delves into the potential impact of AI-driven productivity gains on labor needs within organizations. With the prospect of significant productivity improvements, businesses may need to reevaluate their workforce structure and roles to align with the changing demands of AI-enhanced operations. The discussion touches on the possibility of passing on productivity gains to employees as a retention strategy, highlighting the importance of creating a conducive and flexible work environment in the era of AI-driven advancements.

 

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[00:00:02] [SPEAKER_00]: One of the things we keep talking about about AI is making everybody more productive. But

[00:00:06] [SPEAKER_00]: oftentimes the conversation is about making the more junior people productive. What if

[00:00:11] [SPEAKER_00]: we focused the more senior, the top people in your organization? Colin Britton from

[00:00:18] [SPEAKER_00]: Device joins me. We knew one another back in the logic nowadays and he's got some ideas on the

[00:00:24] [SPEAKER_00]: AI Promise on this bonus episode of the Business of Tech.

[00:01:19] [SPEAKER_00]: Well Colin, welcome to the show.

[00:01:23] [SPEAKER_00]: Good to be here. Now for listeners, you and I know one another because we work together

[00:01:27] [SPEAKER_00]: back in the logic nowadays but I want to make sure they get a good sense of your career path because

[00:01:32] [SPEAKER_00]: you've been doing a lot of work that we didn't call AI at the time much more like data science,

[00:01:38] [SPEAKER_00]: machine learning but you've got a lot of experience along this line including a product

[00:01:42] [SPEAKER_00]: they may have known in logic cards but give me a little bit of your trajectory on what

[00:01:47] [SPEAKER_00]: you've been doing with what we now are talking about AI but this lineage of technologies.

[00:01:54] [SPEAKER_01]: Yeah, it's interesting. My going back I've lived in English but I've lived in the States for 30 years

[00:02:01] [SPEAKER_01]: and when I came to the States I was a product manager slash sales engineer for a

[00:02:07] [SPEAKER_01]: content management company and at that time what we were doing was like

[00:02:12] [SPEAKER_01]: media assets for print right and which eventually transitioned into websites and

[00:02:18] [SPEAKER_01]: advertising but it all became about the metadata and the management of the organization

[00:02:22] [SPEAKER_01]: and so I got into these concepts of you know unstructured data, semi-structured data

[00:02:31] [SPEAKER_01]: and you know how can we use that to better find things, better manage things etc without having

[00:02:37] [SPEAKER_01]: a kind of tightly coupled setup and so through that startup and then you know the next one

[00:02:43] [SPEAKER_01]: eventually I ended up in in the advertising space, digital ads and we built a lead generation

[00:02:51] [SPEAKER_01]: business which was the largest provider of automotive leads in the country privately held

[00:02:59] [SPEAKER_01]: and it was all driven by data and you know before we were talking about data science

[00:03:05] [SPEAKER_01]: and this kind of stuff but it was how do we collect as much information as possible to be

[00:03:10] [SPEAKER_01]: as intelligent with matching leads and understanding what's going on in the bi ecosystem

[00:03:15] [SPEAKER_01]: and a team of handful of people built it and we went from nothing to the largest

[00:03:23] [SPEAKER_01]: independent provider of automotive leads in the country in 18 months and it was all data driven

[00:03:28] [SPEAKER_01]: and then we sold it and you know I got introduced to a good friend of mine, Walter Scott who is a

[00:03:40] [SPEAKER_01]: IT CEO who's been through a number of companies and Logic now was one of those

[00:03:46] [SPEAKER_01]: and he's like yeah so that's stuff you did for advertising, we apply it, I think we can

[00:03:52] [SPEAKER_01]: apply it to any other business and so I started down this journey of okay how do we use the exhaust

[00:03:59] [SPEAKER_01]: of any given system to better understand what's going on and create better outcomes

[00:04:06] [SPEAKER_01]: and as you said Logic Arts was one example of that like very early on, it was like okay

[00:04:10] [SPEAKER_01]: let's just look at all this data and say in comparison to your peers how are you doing

[00:04:16] [SPEAKER_01]: in comparison to what we think is a best standard like what Dave says to do, right?

[00:04:22] [SPEAKER_01]: you know how do we adjust like and recommend to you different things and so yeah did that

[00:04:28] [SPEAKER_01]: I have done a decade now of IT growth stage companies, I work principally with incident

[00:04:38] [SPEAKER_01]: partners who are the growth stage fund that was behind TeamViewer, Logic Now Live Action

[00:04:45] [SPEAKER_01]: DNS Filter, Evo and now Device and again a lot of what we've done and continued to do is that same

[00:04:54] [SPEAKER_01]: thing and of course the tools get better and the capabilities get better but you know it's

[00:05:01] [SPEAKER_01]: now got proper names to it we talk about data science we talk about data engineering

[00:05:04] [SPEAKER_01]: data engineering is a first-class citizen now which it wasn't back then and yeah it's a very

[00:05:12] [SPEAKER_00]: exciting time well and that's what probably because when we were reconnected recently you

[00:05:16] [SPEAKER_00]: have this idea of the AI promise as it applies to business operations and I think it's kind of like

[00:05:23] [SPEAKER_00]: the vision has crystallized a lot give me your description of what you think the AI promise is

[00:05:29] [SPEAKER_01]: right now in business ops well I you know we've often used data to reinforce and kind

[00:05:39] [SPEAKER_01]: of like to raise the bar generally but and but it's typically been at the lowest common denominator

[00:05:45] [SPEAKER_01]: and I think the AI promise is to go the other way which is the highest common denominator

[00:05:50] [SPEAKER_01]: so in business operations you could be able to increase the productivity of your best players

[00:05:57] [SPEAKER_01]: and increase the productivity of of your pool overall but from a top down perspective not a

[00:06:04] [SPEAKER_01]: bottom up right many of the tools that people produced before were about how do I just skill

[00:06:10] [SPEAKER_01]: up somebody and your best players didn't get any more productive right they would actually skip it

[00:06:15] [SPEAKER_01]: and and not use it or cheat on it etc with the AI promise it starts to become the other way

[00:06:21] [SPEAKER_01]: down because the critical thinking becomes much more important when you've got AI there

[00:06:27] [SPEAKER_01]: I'll give you a really quick example a friend of mine the other day who's a data scientist

[00:06:34] [SPEAKER_01]: super smart guy um he's like working on some dashboards and he's like I don't I don't have to

[00:06:41] [SPEAKER_01]: write code anymore like chat gpt writes my code and he said I don't you know you don't

[00:06:48] [SPEAKER_01]: have to learn a new language and he had one chart that he was asked to do for some data

[00:06:52] [SPEAKER_01]: and he's like this is this is kind of like dumb but he just asked he gave us he gave a screenshot

[00:06:59] [SPEAKER_01]: of the chart to chat gpt and told it to give him the python code to recreate it

[00:07:04] [SPEAKER_01]: from a screenshot it wrote the code and it's like yeah it was you know 95 percent there

[00:07:09] [SPEAKER_01]: mine a tweak and uh and it was done and and that's like you know say the critical thinking

[00:07:15] [SPEAKER_01]: around whatever I want to solve and how do I ask the AI of this is what I think becomes the

[00:07:21] [SPEAKER_01]: superpower you know he could have handed that off to a junior staff member and but the actual

[00:07:26] [SPEAKER_01]: handoff time and the effort would have been like significant right so instead he just he's got this

[00:07:33] [SPEAKER_01]: assistance AI assistant and um gets it done like that right even even kind of simple task

[00:07:39] [SPEAKER_00]: and it's interesting because it's paralleling my own personal experience you know for

[00:07:42] [SPEAKER_00]: listeners there's some AI code now that's helping produce the show and it's not something

[00:07:47] [SPEAKER_00]: that I've handed off it's that you know I can get additional uh elements of productivity

[00:07:52] [SPEAKER_00]: out of doing it myself and I like this approach of you know looking at making your better your best

[00:08:00] [SPEAKER_00]: even better to outperform but that feels hard you know how do you identify in benchmark the

[00:08:08] [SPEAKER_00]: best employees like how do you do that to then focus on the right places well I think it's um a

[00:08:18] [SPEAKER_01]: lot of it is about putting the tools in front of people and seeing how they want to engage

[00:08:21] [SPEAKER_01]: right and encouraging them so um you know we're a we're a Microsoft shop and um we're a Microsoft

[00:08:29] [SPEAKER_01]: partner uh in a number of areas so we we engage with our tool set and um you know we use Copilot

[00:08:35] [SPEAKER_01]: and Copilot is a great example of where you know meetings now the the note-taking is just so much

[00:08:43] [SPEAKER_01]: better right I get a meeting summary I get action items pulled out of it I get all the context of

[00:08:48] [SPEAKER_01]: what went on even if I'm not at the meeting so the the use of those kind of tools to

[00:08:55] [SPEAKER_01]: drive kind of better action and drive better productivity is is significant

[00:09:00] [SPEAKER_01]: and um I think that's like engaging with people and we're still at this stage where some people are

[00:09:07] [SPEAKER_01]: oh uh you know big brother AI is all coming up I'm like my life has been driven by data

[00:09:14] [SPEAKER_01]: and so I'm like honestly people like get over it right you will be there it is like people

[00:09:22] [SPEAKER_01]: talking about the the internet getting rid of newspapers right it's gonna happen right AI

[00:09:27] [SPEAKER_01]: is going to change your life so and your work and your work life in particular so kind of engage

[00:09:34] [SPEAKER_01]: and so I think you kind of find that part of it and it's about showing people the critical thinking

[00:09:39] [SPEAKER_01]: and at this stage we've got to give them better examples and show them but there's a lot of stuff

[00:09:44] [SPEAKER_01]: around um so you get a system uh select engine right and um it's incredibly powerful and you get

[00:09:55] [SPEAKER_01]: you know subject matter experts who can do amazing things with it but for a lot of users going into

[00:10:01] [SPEAKER_01]: it occasionally they you know it takes time to remember the great thing about AI is you can

[00:10:07] [SPEAKER_01]: very quickly and interactively um you know ask questions and say okay what's the best setting

[00:10:13] [SPEAKER_01]: for this right what's the you know what is industry standard or what is best practice

[00:10:18] [SPEAKER_01]: for this or tell me about without kind of leaving the environment the context switching part really

[00:10:24] [SPEAKER_01]: kind of gets taken away there so I think that I think it's that kind of it is definitely a

[00:10:29] [SPEAKER_01]: mentality around it that you've got to engage and we're starting to see that more and more in

[00:10:36] [SPEAKER_01]: kind of general IT area and particularly MSPs. Now I want to think a little bit about

[00:10:42] [SPEAKER_00]: about this as you apply this so let's say we we start getting AIs that are helping our top

[00:10:47] [SPEAKER_00]: performers be really great well then the next logical bit is that we can replicate that behavior

[00:10:54] [SPEAKER_00]: doesn't that start impacting our labor needs pretty aggressively like what's your what's

[00:10:59] [SPEAKER_01]: your take on how that plays out so I'm not going to name names but working with a MSP right now

[00:11:07] [SPEAKER_01]: they're talking about a 70 percent productivity improvement and at that level this is this

[00:11:14] [SPEAKER_01]: is role impacting right you know at 20 30 percent you're like yes I can make my people 20 30 percent

[00:11:21] [SPEAKER_01]: more effective and that's great and therefore I'll increase you know how much they can get through

[00:11:26] [SPEAKER_01]: but at 70 percent your business is not growing at 70 percent right so what do you do it you know

[00:11:31] [SPEAKER_01]: you're going to have to you know resize the business or change the roles or or that kind

[00:11:38] [SPEAKER_01]: of thing I think it's you know it's going to take time for people to get to it but they really are

[00:11:45] [SPEAKER_01]: going to have to think about like you know that that part of the business and the the lab we all

[00:11:51] [SPEAKER_01]: know the labor arbitrage model is a challenge right particularly in the MSP space because you

[00:12:00] [SPEAKER_01]: know margins become very fixed and there's continued price pressure on organizations so how

[00:12:06] [SPEAKER_01]: how do you kind of balance those things in it and you yeah you're going to have to change the shape

[00:12:12] [SPEAKER_01]: of the organization as this comes along but preparing for it is is equally part of it now

[00:12:18] [SPEAKER_00]: you're you're a guy who spends a lot of time on operations I want to I want to throw a premise

[00:12:22] [SPEAKER_00]: at you and I want to get your reaction to it so so oftentimes when we talk about productivity

[00:12:26] [SPEAKER_00]: gains the immediate next step is is the thought of well maybe we could reduce the number of people

[00:12:31] [SPEAKER_00]: I'm making an argument that actually what we can actually do is is also pass some of those

[00:12:35] [SPEAKER_00]: gains onto the employees as a retention element so for example when we talk about the idea of

[00:12:40] [SPEAKER_00]: moving to the four-day work week one of the ways you can do that is if everybody

[00:12:44] [SPEAKER_00]: gains a 70 boost we don't need as much physical time potentially and so we can actually make

[00:12:51] [SPEAKER_00]: the employment environment better and retain better people longer because they're getting

[00:12:58] [SPEAKER_00]: they're getting the advantage too the business gets the advantage and the employee gets the

[00:13:03] [SPEAKER_01]: advantage what's your take on that premise I am some of my favorite engineers of what I would

[00:13:11] [SPEAKER_01]: call lazy people and what I mean by that is they get things done effectively and effectively

[00:13:16] [SPEAKER_01]: in you know a short amount of time and then they occupy themselves with other things

[00:13:23] [SPEAKER_01]: outside of that and it's always been one of my favorite motions which is you know

[00:13:28] [SPEAKER_01]: the engineer who is kind of it appears off to Asia for two months and you don't even realize

[00:13:35] [SPEAKER_01]: because he's still getting his work done and you know you ask for something you get it immediately

[00:13:41] [SPEAKER_01]: etc and that kind of you know different way of working now that doesn't suit some people so

[00:13:46] [SPEAKER_01]: that's a kind of different thing but I think what we're going to see with productivity

[00:13:50] [SPEAKER_01]: gains like this is that that balance of what's required does change and as organizations we

[00:13:58] [SPEAKER_01]: can be more flexible and we can do that and I think there's a number of ways with it different

[00:14:03] [SPEAKER_01]: people have different motivations I do think that this is going to help with burnout right

[00:14:09] [SPEAKER_01]: burnout is a problem in our space and I think burnout is a bigger issue than the

[00:14:20] [SPEAKER_01]: you know some of the other sides of it and it's often the

[00:14:24] [SPEAKER_01]: I'm going to put it there the silly mistakes right that shouldn't be made that come out of that

[00:14:31] [SPEAKER_01]: that are that are impacting that you know a more productive person will will avoid

[00:14:38] [SPEAKER_00]: now I'm gonna throw it out in a broad sense because I'm not one of those people that likes

[00:14:41] [SPEAKER_00]: talking about P do that's not the way that I think about this but I actually want to think

[00:14:45] [SPEAKER_00]: about is more like what are the what are the ethical concerns that come to mind for you

[00:14:49] [SPEAKER_00]: that you think business leaders owners of you know IT services organizations and their customers

[00:14:55] [SPEAKER_00]: should be addressing like what are those ethical concerns that you think are the most important

[00:15:01] [SPEAKER_01]: oh I think there's ethics is one one part of it along with obviously security concerns

[00:15:09] [SPEAKER_01]: right and you know leakage and all of this kind of stuff I think you've got to think about

[00:15:15] [SPEAKER_01]: how you're using these tools in a way that how you're expressing exposing your business data out there

[00:15:23] [SPEAKER_01]: but you shouldn't be too paranoid about it at the same at the same time right you know there's a

[00:15:30] [SPEAKER_01]: there's a level of people are willing to post on reddit which is like the number one training

[00:15:34] [SPEAKER_01]: source for you know most of our industries AI but like they're like ah yes but I'm not gonna

[00:15:42] [SPEAKER_01]: you know I'm not gonna let it read my email right you kind of got to have that that

[00:15:50] [SPEAKER_01]: level of trust in there but at the same time you know in an organization which is

[00:15:57] [SPEAKER_01]: using things like co-pilot if all of your board documents and all of your you know underlying

[00:16:03] [SPEAKER_01]: business documents are on SharePoint and it's reading them and somebody goes and asks

[00:16:10] [SPEAKER_01]: you know what's the salary of the CEO or how many shares does so and so have or what's any

[00:16:15] [SPEAKER_01]: their co-worker salary right and and the AI can answer it that that's a challenge right so you've

[00:16:21] [SPEAKER_01]: got to have you know Microsoft's line for it is secure productivity right so it's this combination

[00:16:27] [SPEAKER_01]: of you've got to make sure your data is organized well and the tools are in place that you can

[00:16:33] [SPEAKER_01]: be productive but you've got to be doing a secure way and that's about you know the usual

[00:16:37] [SPEAKER_01]: things that we always talk about um that which is you know how your data is organized where you're

[00:16:42] [SPEAKER_01]: keeping it um and you know how your endpoints are managed and organized as well so what's a

[00:16:48] [SPEAKER_00]: what's a healthy level of paranoia in your mind like kind of what's the what's the the the

[00:16:53] [SPEAKER_01]: balance that you strike you know uh you know me I I am very forward leaning right so as

[00:17:01] [SPEAKER_01]: as a person but in my role like I'm the coo so much as I've got a product background over

[00:17:06] [SPEAKER_01]: the years I've built a lot of experience with you know how to grow businesses and and that kind

[00:17:11] [SPEAKER_01]: of stuff and so I'm you know very I get very paranoid around customer data and around how

[00:17:19] [SPEAKER_01]: that is and the separation of concerns within that and how you kind of deal with that I

[00:17:24] [SPEAKER_01]: get pretty paranoid about financial information and and and board and board data and make sure

[00:17:30] [SPEAKER_01]: that's but in terms of broad internal communication product documentation even you know architectural

[00:17:36] [SPEAKER_01]: schemas and and that kind of stuff I'm you know I'm a lot more tolerant on that area a good example

[00:17:43] [SPEAKER_01]: is like often people get kind of paranoid about their their SOP2 reports and that's kind of one

[00:17:50] [SPEAKER_01]: you know yes somebody could go read that and do some you know and understand your business

[00:17:56] [SPEAKER_01]: and you know do some things from it but my argument on a lot of that is they can probably figure that

[00:18:02] [SPEAKER_01]: out like if they're coming after you they're coming after you right your SOP2 reports not

[00:18:06] [SPEAKER_01]: going to be the primary source of how they got to you some phishing attack on you know one of

[00:18:11] [SPEAKER_01]: your engineers is more likely right or or something like that so um yeah that's kind of

[00:18:17] [SPEAKER_01]: where my power in our sits with it that's a good line because because you're exactly right

[00:18:22] [SPEAKER_00]: they're going to find the simple bit and frankly protect the simple the simple entry points and don't

[00:18:28] [SPEAKER_01]: over worry those those other ends 90% of of breaches come from a you know an endpoint but 90 plus percent

[00:18:36] [SPEAKER_01]: you know it's it's here right this is where the problem is right and and these devices that we're

[00:18:43] [SPEAKER_01]: using more often than not right that's that is totally how they're going to hack us well

[00:18:49] [SPEAKER_00]: Colin Britton is the chief operating officer at DeVicey focused on growth and global operational

[00:18:54] [SPEAKER_00]: scaling he's been in companies such as TeamViewer DNS filter, Devo live action and LogicNow where

[00:19:00] [SPEAKER_00]: we met which is now part of Enable. Colin thanks for joining me today. Great to join you and

[00:19:05] [SPEAKER_00]: always good to catch up. Looking to reach an audience of thousands of MSPs and IT service

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