In short
Podcast Notes: Beyond The Prompt - How to use AI in your company
Episode Title
Building An Enterprise AI Innovation Lab: A Master Class with Humza Teherany, Chief Strategy Officer of Maple Leaf Sports and Entertainment
Episode Overview In this episode, Humza Teherany discusses his role at Maple Leaf Sports and Entertainment (MLSE) and how he integrates AI into the organization's operations. He shares insights on fostering technical fluency, bridging technical and strategic leadership, and the importance of hands-on learning in AI innovation.
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Key Themes and Concepts
- Leadership and AI
- Hands-On Involvement: Leaders need to engage directly with AI tools instead of delegating the responsibility. The most impactful leaders are those who understand and explore AI technologies themselves.
- Technical Fluency: A return to technical skills enhances leadership credibility and decision-making capabilities.
- Innovation through Rapid Prototyping
- Build in a Day: MLSE practices a model where ideas can be transformed into prototypes within a day, fostering participation from all levels of the organization. This approach democratizes innovation and accelerates idea validation.
- Empowerment of Superusers: Identifying and empowering a small group of enthusiastic users initially can drive a broader culture change within the organization.
- Cultural and Organizational Change
- Creating a Culture of Innovation: The importance of nurturing an environment where ideas can be freely shared and developed is emphasized.
- Managing Change: Transitioning to AI involves a cultural shift, and organizations must support employees in adapting to new workflows.
- Building an AI-Driven Organization
- AI Platforms: The development of internal platforms, such as MLSE AI and Ideagen, facilitates idea generation and collaboration across the organization.
- Cross-Functional Collaboration: AI initiatives should be closely aligned with organizational goals and involve collaboration among different departments.
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Key Takeaways
- Leaders Should Be Hands-On: Engaging with AI tools directly leads to more impactful leadership.
- Technical Literacy Matters: A leader's understanding of AI fosters trust and facilitates better decision-making.
- Speed Equals Inclusion: Rapid prototyping allows a broader range of ideas to be tested and implemented quickly.
- Focus on Superusers: Empowering a subset of users can catalyze organization-wide transformation.
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Discussion Points
- Role of the C-Suite in AI
- Humza argues that C-suite leaders should not just delegate AI initiatives; they must be involved to understand the technology's implications fully.
- Personal Learning Journey
- Humza shares his journey of rekindling his technical skills and dedicating personal time to learn about new AI tools and technologies.
- Building a Business Case for AI
- Highlighting the tangible benefits of AI in enhancing efficiency and innovation, Humza discusses how implementing AI can lead to significant organizational growth.
- Experiments and Innovations in Personal Life
- Humza discusses personal projects, such as creating a bedtime story app powered by AI for his daughter, showcasing practical applications of AI in everyday life.
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Structure of the Organization for AI
- Humza suggests that AI capabilities should report directly to the CEO or be integrated at the highest level of decision-making within the organization, ensuring strategic alignment and visibility.
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Conclusion Humza Teherany's insights into integrating AI within MLSE highlight the necessity of hands-on leadership, fostering an innovative culture, and strategically managing change. His approach serves as a model for organizations looking to leverage AI for growth and efficiency.
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Further Information
- MLSE Website: [mlse.com](https://www.mlse.com)
- Humza Teherany LinkedIn: [LinkedIn Profile](https://www.linkedin.com/in/humzateherany/)
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Episode Timeline
- 00:00 - Introduction to Humza Teherany and MLSE
- 00:27 - The Role of C-Suite Leaders in AI
- 01:08 - Reconnecting with Technical Skills
- 02:08 - Diving Deep into AI Tools
- 03:03 - Importance of Hands-On Learning
- 10:03 - Creating a Culture of Innovation
- 26:17 - Organizational Structure for AI Success
- 41:19 - Personal AI Experiments and Innovations
- 49:11 - The Debrief
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Recommendations
- For executives and leaders in organizations looking to harness AI, Humza's strategies provide a roadmap for implementing innovative practices and fostering a culture that embraces technology and creativity.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOUnderstanding the V1 Lab Concept
0:45 to 2:15
Discussion on the V1 Lab and its ability to rapidly develop applications.
The Business Case for Rapid Prototyping
2:15 to 4:30
Explaining the benefits of quickly turning ideas into applications for business leaders.
“um is incredible at front-end design incredible absolutely incredible front-end design so and Man, make the business case.”
C-Suite Leaders and Technical Skills
4:30 to 6:45
Hamza discusses the importance of C-suite leaders possessing technical skills in AI.
“So can you talk for a second about whether that is essential, whether it's nice to have, how you think about that skill set?”
Reconnecting with Technical Skills
6:45 to 8:45
Hamza shares his journey back to technical skills and hands-on learning.
“I think it's such an interesting question.”
The Learning Journey for Non-Technical Leaders
8:45 to 11:10
A discussion on how non-technical leaders can approach learning AI tools.
“I think specifically those two platforms and Gemini's, you know, really incredible for a lot of things.”
The Impact of AI on Business Operations
11:10 to 13:15
Hamza discusses the transformative impact of AI on various businesses.
“And from a CEO leader perspective, the opportunity cost of that time is enormous, right?”
Examples of Innovation from the V1 Lab
13:15 to 14:02
Sharing specific examples from the V1 Lab’s projects and their impacts.
“kind of helping people and organizations understand the value and, and getting them to switch and change and operate in a different way, which is just human behavior.”
Building MLSE AI: A Platform for Innovation
14:02 to 17:04
Learn about the MLSE AI platform and its features designed to democratize idea generation.
“Yeah, I think the one winning concept we've employed now is we built a platform just titled MLSE AI and it's our, it's kind of our AI homepage.”
Using AI to Enhance Research and Analysis
17:04 to 21:20
Discover how MLSE's Deep Dive platform supports collaborative brainstorming and research.
“So one example of where we pivoted from that is we've created a platform called MLSE Deep Dive.”
Overcoming Adoption Challenges in AI
21:20 to 23:27
Understand the obstacles faced in AI adoption and how to navigate them effectively.
“And then they can basically do a lot of the stuff we talk about.”
Show all 24 chapters
Creating an AI-Enabled Workforce
23:27 to 25:59
Learn strategies for equipping employees with AI tools to enhance productivity.
Organizational Structure for AI Success
25:59 to 27:54
Explore the ideal structure for implementing AI within an organization for maximum impact.
“And whether you do that in a quarter or a year, it's all good.”
Harnessing Ideas for Innovation
28:03 to 29:10
Learn how to leverage internal ideas for effective marketing campaigns.
“So it's back to what we talked about with the ideas.”
Finding the Right Talent
29:10 to 30:40
Explore effective strategies for recruiting tech talent in today's market.
“And that's what our Ideagen platform is about, to kind of harness that at scale.”
Understanding Agentic Development
30:40 to 32:56
Discover the principles of agentic development in tech roles and its importance.
“Because it's not one model that's going to do everything.”
Rebuilding Companies for AI
32:56 to 35:18
Learn how to rethink company structure and strategy in the AI era.
“And I don't, I don't have a word for it necessarily.”
Aligning Technology with Business Goals
35:18 to 37:26
Understand how to connect technology initiatives with company objectives.
“I think you have to, whether you do that in an actual sense in the company and you go, okay, we're going to restart our company from today, you know, 50 year old company, 60 year old company.”
The Role of a Technologist in Business Growth
37:26 to 38:23
Discover the essential skills for technologists who drive business success.
“But I also think that most boards and most CEOs are thinking about those things already.”
Demystifying AI for Effective Implementation
38:23 to 41:18
Learn how to simplify AI concepts for better understanding and application.
“sit you know in an ideal world we haven't talked about who you know if again if you're advising a CEO who goes, I want to hire this person.”
Personal AI Experiments
41:18 to 42:00
Hear about innovative personal projects utilizing AI for everyday tasks.
“That is, what are some new kind of like experiments you're doing in your own personal life with the AI?”
Innovative AI Workflows in Daily Tasks
42:00 to 48:20
Learn about integrating AI into personal workflows for efficiency.
“And, and sometimes I, it's almost like, how far can I take this?”
Engaging with Your Child's Creativity
48:20 to 48:41
Discover how to use AI to inspire children's storytelling and creativity.
Building Ideas in a Day: The Hack Week Concept
56:01 to 57:06
Learn how implementing a 'build in a day' mechanism can foster innovation.
“champion that idea gets to sit next to an agentically capable AI builder and they go from concept to actual realized thing in a day.”
The Impact of Innovative Events on Culture
57:07 to 57:21
Explore the significance of events that transform organizational mindsets.
“And we think about kind of culture transformation.”
Transcript
Automatic transcript. May contain errors.0:00Hi, I'm Hamza Trani, Chief Strategy and Innovation Officer for Maple Leaf Sports & Entertainment We're the organization that runs the Toronto Raptors, the Toronto Maple Leafs, Toronto FC, and many other teams, along with the entertainment concert company as well. And I'm really interested today to talk about how to drive innovation with AI, how to accelerate it, how to be strategic as business leaders and technology leaders, as well as the crazy, super nerdy stuff. I developed a group about a year ago called our V1 Lab, our version one lab, which is our agentic development lab. and our v1 lab at mlse allows us to drop in an idea on a monday and have a full stack app latest by the end of that week usually the very first version the 0.1 is within several hours and that's because of the ability to employ agentic development principles which doesn't mean that you don't use vibe code you don't know what you're doing or you don't look at security aspects you don't plan out your work you're not using md files or you know planning mechanisms or mcps or all these other technical things that you would you would do so you still have to be a great developer but if you can harness how to use it from a technical perspective it is absolutely game-changing so for me i've probably built three or four platforms as a full stack developer in our v1 lab hand in hand with my own full stack developers now keep in mind you know uh i was a coder 25 years ago and i was doing php pearl and asp so microsoft.net and and that was a long time ago and i was never a full stack developer but now whether it's authentication or database or back end or front end or design which is even in the last two weeks this agentic design has progressed what do you use what tool do you use for that so the quad released uh a paper on the quad design skill the concept of how to encompass the design skill and it fundamentally produces one hunt in my opinion a hundred percent better design by just employing that skill and the second one is gemini gemini three pro preview i guess is um is incredible at front-end design incredible absolutely incredible front-end design so and Man, make the business case.
2:25Because I think even the framing of we built three full stack apps, you know, soup to nuts Monday to the end of the week. The fun ROI there, right? Why is that? I mean, I'm amazed. But if I'm a senior leader in another kind of classic business, what is the impact of that? Why would I want to stand up a lab that can create full stack apps in a week? Like what's the business impact? Yeah. Yeah, I think the opportunity is imagine maybe the best way for me to describe it is, is this way. You know, everybody has ideas. Everybody in an organization has ideas. Well, what if half of your organization or a third of your organization has the ability to take an idea and bring it to life in near real time?
3:12Right. Think of how long it takes people to do research, to do analysis, to do decks, to sell ideas, to figure out what the next big thing is, what the next efficiency idea is. It could be anything. It could be margin and EBITDA growth. It could be net new revenue growth. It could be fan experience. And, you know, I think ideas are wonderful and amazing and everybody's got ideas, but it's always been in business about what you do with those ideas. So now we've got capability inside our organization that can bring ideas to life within hours. And you're not done in hours. This is not a magic pill.
3:46It just helps you go a lot faster to determine whether you've got a winning idea or a non-winning idea, in which case you should move on. So we've done a lot of work on those kinds of concepts. But to what extent is it a requirement of a leader that they are capable of going deep? So, because there's a model that says, Hey, I've got to delegate AI to somebody who gets it. I mean, you're in the C-suite, right? And there's a model that says the C-suite's job is to delegate this and it's it. Whereas you, to me, this archetype of a C-suite leader capable of strategic thinking and deploying organizational resources and stuff, you're also running terminal via CLI on your personal device at all.
4:33So can you talk for a second about whether that is essential, whether it's nice to have, how you think about that skill set? I think about a year and a half ago, I transitioned back to my 25-year-ago technical self. um and i think as you grow in your career especially in the in the tech space in a company you know sometimes you start really technical and then you grow into the business side of things and you lose those technical skills um and i always maintain the technical scales of development and kind of hacking around at things uh throughout my you know the back half of my career i'd say more as a c-suite executive i've been a ceo chief strategy officer chief technology officer chief digital officer i've had a lot of different kinds of roles but a year and a half ago i'm just thinking about all of the enhancements that were coming out on consumer ai is really what got me back into it and i was on vacation with my wife and my daughter and i had about 10 days to disconnect and i really didn't disconnect but i started just kind of it was 10 days to reconnect disconnect yeah i mean it was just you know it was just like personal passion project where it started and it was you know learning about what uh chat chiquiti was doing just from a consumer perspective and then i looked in the quad and you know looking at all these other models that were coming out and then probably two months into kind of like really going deep on all the consumer tools and trying all the consumer tools which included things like uh lovable and bolt you know being able to kind of like just build fast prototypes i was like man i I got to, I got to get back into the models.
6:10I get, I got to get back into understanding how this, like, how does an LLM actually work and how's it built? What does it mean for software? And then in and around that time, Claude Code, um, actually Claude Code was much later. I think it was Cursor, Windsurf, you know, getting kind of back into VS Code and kind of operating these things inside VS Code. And it really, it took off from there. and I've spent probably since then I'd say probably two hours at minimum per day learning and my learning comes from I'm a hands-on learner I wasn't a great student in school because memorization is tough for me even now but I'm a great hands-on learner is what I just discovered later in my in my life my professional life more so so for me it was all about just trying things building things getting back into it and a lot of my self-training has come through youtube and x x just for like what people are doing what they're finding what the latest innovations are especially around ai can i ask you a question then on the because i think this is very important because i think a lot of people in c-suite often you know don't necessarily use ai as much as they promote other people should and there does seem to be this kind of magic that appears when you have a lot of domain expertise and then you increasingly understand when these models are good at that and there seem to be this kind of like step function you can do where obviously first you become very good at using one of the foundation models within open chat service like chat gmt but then a lot of people that i know that are very into this and are getting very good at it then start to kind of understand how to for example use something like clock code or cursor or some of these more you see technical tool would you help me try to describe kind of like how do you go from okay i know chat dbt i've been using it in a browser to maybe go to i now have installed the desktop version and i have added my first function so it can now look through my drive or another thing that's easy to i now have clock code installed to now i know what cursor is and How would you see that kind of like journey for people who might not even have a technical background?
8:26I think it's such an interesting question. I was having this similar debate with my head of engineering this actually last week on, should we just start putting some of our more technical people, some of our more technically savvy people inside the CLI? Just explain to what CLI is for most people who know this. command line interface where you can run you know if you have a claw desktop app or you have the open ai app on your phone or on your desktop think of the command line interface as just being directly in the guts of it and you can still ask questions and go back and forth and her perspective was it might be too technical and my perspective was you probably right but there probably is a subsection of people that would benefit from that but to answer your question directly i think it's progression i think um you know these things can be daunting the pace of change can be daunting the technical terms can be daunting i think you do have to have a technical understanding of how these things work so from the progression aspect of kind of mastering these things uh as you go i would say you know master the consumer stuff first like learn what claude is good at and what open ai chat GPT is good at, you know, learn the consumer aspects of what you can do inside those platforms.
9:43I think specifically those two platforms and Gemini's, you know, really incredible for a lot of things. I think they're getting a lot better on the consumer side too. But I would say, you know, first step one is learn how it works. Like just, and the beauty of it is you can do all of these things right inside any of these chatbots, right? You can go in it and say, like, literally, look, This might sound dumb, but like, you know, in the early days I was going in and and asking me like, explain to me very simply, how does LOM training actually work? Cause I wanted to refresh my memory and I didn't want to go read a technical journal.
10:15You know, you could, you could ask it anything. And sometimes you feel a little bit silly asking it, maybe basic questions or refresher questions, but it's just an unlimited amount of learning that you can do directly in these apps that are now sitting in our fingertips. So I would say you have an AI tutor. You have an AI tutor in your hands. Yeah. Learn the basics, master the public apps that are out there. Once you've done that, I think you can kind of cross the chasm to potentially getting into VS Code, running Cursor, running Cloud Code or running Codex or running Gemini. Right. But hang on one second here.
10:48Before we go there or before we cross the chasm, make the business case because I think they're there. Cross it, cross it. Yeah, Henrik's on the other side of the chasm. I love it. So, so one thing, but for, you just said you spend, you're a C-suite leader. You spend two hours per day, hands-on learning. If you just assume you work eight hours a day, which you don't, that's 25 % of your time. And from a CEO leader perspective, the opportunity cost of that time is enormous, right? Your time is far more expensive than other people's, right? And I think a lot of people, a lot of senior leaders, especially, don't justify investing in learning because the opportunity cost of their time is so high.
11:31So for people who don't know what the ROI is, so to speak, can you make the business case of the value? And what I'm asking you to do is kind of humble brag. What's been the impact to the business that you have made because you've gone so deep? because I think that would really help people justify I need to personally spend time even though it's a high opportunity cost humble brag go ahead yeah uh great question um you know the two hours a day is not during work hours it's actually in personal time so it's in my drive-in or in my train ride in and obviously weekends and evenings because obviously you know day jobs especially if you're a if you're a leader in an organization is uh is busy you can't just carve out two hours a day to go do side projects right so i would say the reason i've done that and the reason i will continue to do that for the foreseeable future is because i think these technologies whether you use consumer versions of them to be better at your job to be more impactful in what you're doing or you want to understand it at a great degree because you might maybe want to be a founder or develop something that that's incredible is that these technologies have changed the world and they will continue to change the world included in that are legacy businesses that have been around forever and it doesn't really matter if you're a food service company or a cleaning company or a sports and entertainment organization or a tv network these things are fundamentally going to change and have changed how business is done i think the opportunity is for most organizations is to adopt and understand.
13:11And I think the human side of it is probably the hardest part, which is kind of helping people and organizations understand the value and, and getting them to switch and change and operate in a different way, which is just human behavior. So change is hard. And I think this is, you know, it's no different with these technologies, but that's the reason why the reason why is because it's changed everything. And for me personally, you know, I've now been able to build full stack apps for MLSC. And, you know, we have a, I developed a group about a year ago called our V1 lab, our version one. Can you give a few examples of like what the V1 lab kind of like, you know, what do they come up with and how do they then actually have real impact into the organization?
13:57Maybe one winning idea and one idea that you learned wasn't winning would be kind of cool. Yeah, I think the one winning concept we've employed now is we built a platform just titled MLSE AI and it's our, it's kind of our AI homepage. It's kind of our landing spot. And we have probably about 12 different AI apps that we've built in there. And in MLSE AI, we also have an app called Ideagen. and idea gen is um if you guys remember dig do you remember the website dig yeah from a long time ago made by a guy named kevin rose um i hear them coming back but that's a different story yeah so dig dig is you know is a simple concept where people can go and post stuff kind of like reddit but you're able to you know upvote and downvote ideas and that was a concept of dig a very long time ago so we we took similar concepts to that and have and have actually recently launched idea gen out to all of maple leaf sports and entertainment and it allows anybody in the organization to go put in an idea and it allows other people to vote on the idea so you know just just that small change means that the ideas now have the opportunity to grow from anywhere to get supported from anywhere and the best ideas will grow to the top these are not necessarily ideas about ai these are business ideas it could be anything they could be from our usher on the front line to our server in the restaurant to the CEO of the company, could anybody.
15:29And I think these things are incredibly, um, democratizing of bringing the right information up, but also then once every quarter, now we might do it once every month, but we've decided on every quarter, um, is we take the top three ideas and we do what we call build in a day. And so on one day, we take those three ideas and the people who came up with those ideas and we sit in a room for the entirety of the day in fact our first build in a day is coming up in two weeks and there's three people one person building each idea just on that one day and then we have a demo day the next morning now i and sandra who's my dp of engineer are both builders for building a day right along with one of our agentic developers that sits in our B1 lab.
16:18So our concept with that is that you could do anything, but you got to pick the right thing to work on, right? It's critically important to pick the right one. On your other question of, you know, what did we get that isn't right? Well, I think we started off some time ago building almost micro apps, you know, so there was an app for research, there might have been an app for analysis, there might have been an app for creating content, you know, copywriting, all these kind of small things that, you know, the LLMs are really good at, but you want to enable large groups of people to have these capabilities.
16:56And we've learned that it's got to be more of like a software as a service kind of experience where you go in to do a set of tasks associated to your job. So one example of where we pivoted from that is we've created a platform called MLSE Deep Dive. And the Deep Dive platform allows you to go into the platform and brainstorm any idea. So you're able to go in there and basically say, you create a project and you say, I want to figure out, you know, I want to research all of the different LLMs and I want to figure out the best one to use. And you can just go crazy doing research back and forth and back and forth and back and forth.
17:37Once you build that context, or it could be launching a brand new business idea, could be anything. Once you build all the context, which you might build in an hour, in a day, in a month, we then take all of that context and send it to a deep research capability that we've built and custom provided instructions to in terms of what we're trying to get answers to. and then it actually produces a report that's very contextual to our industry sports and entertainment with all the context and all the deep research and then you can start to take that report and stick it into a really beautiful presentation format and do things like add images to it and other things that you might want to and just kind of keep iterating so the concept is you're able to take an idea that you might have in your head build on it over a period of time just like you would if you were in a company with colleagues, going to meetings, step-balling ideas with other people, maybe going to the development team and saying, could you do this?
18:37Or going to the marketing team and saying, could you think about how we might do this particular thing? But you're just doing it in this contained environment. And then you're also able to produce marketing material. So you're able to produce posters, imagery, app mock-ups. So now you can enrich your idea. And we created a version of VZero as well. internally so anybody's used the versell v0 app which allows you to go in and instruct it with a whole bunch of things and it produces like really beautiful kind of in the moment conversational based can i put questions on the ideas that yeah so the challenge for many i would assume is increasingly that the tools themselves can do a lot but they can do so much that they become a little bit numbing for people that are not used to think like this and so in many ways it seems what you guys are providing is obviously access to the technology but increasingly you're kind of showing people process or ideas for what they can actually use this tool like the the stuff that you're doing is as much a use case as it is a piece of software is that how you think about it we think about it as um similar to how we thought about software pre-ai which is it's got to be solving a problem it's got to have product market fit we got to be picking the you know it's much more expensive to do these things two years ago but you're still spending you know cycles with people's minds and energy and you want to focus those in the right area so it's exactly that and rick i think it's picking the right ideas doubling down on the things that can scale and Jeremy maybe going back to your ROI question if you can pick the right things and have people work on the right ideas and have kind of the human side of it non-technical side of it join with the technical side of it then at the end of that you might have somebody say wow this this new thing we've developed is amazing I used to do this in all these manual ways and now I can do it in one place and those are mainly the non-technical users that will provide that feedback very quickly because they'll see the value in it.
20:45I think that's when you know you're kind of hitting the, you know, the impact stuff. And I would say this isn't the crazy cutting edge stuff, as you guys know. This is just like the, what are you going to do that's basic day to day to help your organization to grow better research, better analysis, faster prototyping, faster presentations. You can spend that 80 % of the time on other things that are much more value added, growing your business, coming up with the next big bet. Well, one thing I also think about when you're mentioning these is, and this might be just super obvious. And so we can ignore what it is.
21:15But I think we talked to another person the other day who was saying he believes basically like 10, 15 % of the organization are now these super users of AI. They're really good at it. And then they can basically do a lot of the stuff we talk about. And then you have the remaining that is still kind of like climbing up the learning ladder. Right. It seems that for a lot of like the non-super users, it's almost better for them to give them to your point a tool that it doesn't really even have to be about AI. It is just, hey, you're a salesperson that's selling sponsorships. And here's like a very easy way for you to make your deck ready for when you go out and sell.
21:51You're saving two hours. And like, you know, like almost like not pitch it as AI, but just hear like all these new tools that we made. Bang on, Hendrick. I think that's key. It's almost like the AI. I think the AI for the technical people and nerds is really interesting. We could talk about it for a long time, but for somebody who's not technical, they just want to know like, how's it going to help me do my job better? And if you could just almost take out AI from the commentary and exactly as you said it, here's a tool, use it. It should help you go faster. And if you've done your job as a technologist or somebody who's looking to move the organization forward, the answer on that should be like, oh yeah, I could do my job way better in this.
22:26Right. And it just works. So then there's a really important point. And Henrik, I'm so glad that you drilled in here. What we have not heard you say, Hamza, up to this point is talking about broad enterprise adoption. We haven't heard you talk about training. We haven't heard you talk about others learning to work with AI. What we've heard is a centralized function that is AI enabled, that is unleashing the organization with stuff they need versus equipping the organization with AI tools and then letting them figure it out. Are we hearing that correctly? I'm not hearing you talk about driving it.
23:00I think it's somewhere, I think for us it's somewhere in the middle. We have rolled out access to AI tools for large groups of people in the organization. We have training programs and we have access to various kinds of things that people can use to enhance their skills. My personal learning in the last year and a half, two years on this has been, it's really hard to get people to change at scale in general terms. so if you're giving everybody a chat gpt license and saying here's ai be better it's actually really hard because like what am i supposed to do in here and if you're technical maybe you know all the answers to that but if you're anywhere you know under very technical you might be looking at that and going it's probably just easier for me to do this in my spreadsheet maybe the way to give people the reason to give people access is not to upgrade everybody it is to find those 10-15 percent who might be hidden around the organization and so that's our concept around our mlc ai platform which is you know if you're in our partnership group or if you're on marketing group where you're doing any kinds of idea or a generation of new concepts that are creative and beautiful or you want to think of anything new a report or whatever this is where you go to do it right those are the concepts that we're trying to double down on which is for things like research and analysis and deck building and assessing a spreadsheet doing all of those kinds of things here's where you go to do it and i think those opportunities have a much higher potential to grow fast you know we've built an agentic media access platform which allows us to do basically video editing and it's connected into imagine how much footage we have across our nba teams or nhl teams you know we're very old organization in terms of all the footage that we have so now our platform allows you to go in and through natural language allows our producers to search for anything and you can search for anything find anything very instantly and then you can also clip together certain clips to export to an xml to put into your video editor of choice and just get content out there faster so natural language video search it's kind of an important one for us as a sports entertainment media company we went big on that one in fact last year our teams that built that won the NBA Innovation Award on behalf of the Toronto Raptors by the NBA because of what we did with that platform was fundamentally looking at video and production and just shrinking the time to get content out to a fan, to a partner, to the market, social, etc., television, partnerships, etc.
25:38by orders of magnitude. So I do think that there is an element of you want in any organization You want your workforce to be AI enabled and trained, of course, takes time. I think the fastest ROI is pick your top. You guys both said it. Pick your top two, three, four things and just make sure you get those two, three, four things. And whether you do that in a quarter or a year, it's all good. Just do that well and you'll get the progression, you know, just like most other tech platforms or programs that people would have done a decade ago. So I want to give you this magic wand. Here it is. home so you can have it.
26:15And what I want to ask you to do, if you wave the magic wand, you're given kind of a blank slate. The CEO of another company says, we want to set ourselves up for success. From an org design perspective, what do you suggest is the right structure? Specifically, where does this capability sit? Because in some organizations, it's kind of nested in marketing. In some, it's the CHRO. Some, it's IT. Where do you think the capability sits? Where does it report and what does it have responsibility for? Yeah, I think a role like this needs to report into the CEO, you know, or frankly, be the CEO. I think it's got to be very close to the top person and the top people.
26:57And everybody has to understand what the capabilities are. Because, you know, to where we started the conversation off, this conversation isn't just for the nerds. This conversation, in my opinion, is for everybody. to some degree at this level. Because even if you don't understand hands-on keys on these things, you want to understand the macro concepts of what these things mean and how you could enable it, even if you can't build it yourself, how you could enable it if you're the CEO of a company. Because if you don't, then you won't understand and you will be left behind in your organization in orders of magnitude faster than any other time in sort of modern-day technology.
27:39Just because of the speed at which these things move. And those companies that adopt it will move faster and faster. And if you don't adopt it, ultimately you will, you know, you will move slower and slower on these things. And so you say reports to the CEO, what kind of talk, can you talk for a second about, okay, how do you interface with marketing, for example? I mean, just to get very specific, how do you interface with HR, right? What's marketing's responsibility versus this role's responsibility, et cetera, et cetera. So it's back to what we talked about with the ideas. um we get lots of ideas from our executives inside mlsc you know so my peers are chro our chief marketing officer our chief operating officer you know all of these incredible people have awesome ideas and i'll give you you know i'll give you a story shannon hosford our chief marketing officer who came up with we the north for the raptors campaign that is very well known and very award-winning you know said about a month ago like hey it would be great if we you know i saw this thing that that somebody else has and i wonder if we could do something with it and it it's kind of all these marketing agents talking to each other about just ideation and there's like five or six agents speaking to each other you know we might have a revenue person in there and a performance marketer and a data person whatever like all right that's actually a great idea and we went out in a couple of days and we built it and so then she takes it you know puts it into her team gets us feedback and we start that loop but that's when you have these things that really catch on when you've got the end users in an organization really saying, hey, I have an idea.
29:10And that's what our Ideagen platform is about, to kind of harness that at scale. But I think for any organization, the ideas are there. How do you find and what do you measure a person on that you hire into your agent team? so they they have to be up to speed on all agentic development principles which means that obviously they have to have great skills as a developer they have to be able to write code and review code but do you really do you just put like a job spec so like do you and i ask because the only way that we've been able to find people these days is that i troll youtube and i find people with like 10 ,000 followers, but not 25.
29:55And then basically DM them and ask, do you want to work with us? And often they have, you know, a lot of skills, but not a lot of money. So they're like, sure. It's a great way to do it. Um, I don't think I have a magic bullet answer on it either, but I think what we do is we've been able to find some really great people and it's people kind of like us who, who understand it, who have kind of the core skills and have chosen to take that, that right turn and go, okay I'm not going to be afraid of this thing it's not going to mean that if I don't write any every line of code that I'm less of a developer it just means I'm going to be so much better than everybody else around me as a developer that I'm going to have greater opportunities to grow like it's kind of a personal thing around growth for you know engineers and leaders but we actually do put them through a set of tests that are really driven through agentic principles we'll say we have particular idea on this we'd like you to use quad code cursor codex whatever you want we'll provide you access to it we'll give you the environment we'll give you an hour how would you do it you know we and we want them saying yeah we would use you know markdown files we would use planning mode we would we would build prds we would use mcps we would employ the skills that are out there now from uh if you're using quad code whatever the thing is you know we want to know that those people know which models to use, right?
31:14Because it's not one model that's going to do everything. So from a technical development standpoint, we want people harnessing the workflow. And we've also started to develop our kind of our own workflow package. Because if you can master that, then then you're really at the cut. And then you're really at the bleeding edge of you get all the business stuff done and get all the ideas. Then you got to have men and women, people that are have the ability to take those ideas and fly. Not irresponsibly, but responsibly. and you know i'd be remiss if i if i didn't say that at some point we move things from prototype v1 lab to production and we don't we don't launch products out there that are vibe coded um in fact we don't really vibe code we the way i describe it is um i'm adding you some context engineering terminology now i think vibe coding seems like you're just kind of hacking away with the chatbot without knowing what you're doing that's contrary to what we do i think you have to review code i think you have to look at what you're doing i think you have to be able to plan an architect but ultimately i i compare it to a pilot flying a plane if you were to observe a pilot flying a plane very rarely would you see a pilot on a yoke steering the plane right right in the rain they're just like you know you see them in the movies but um you know a pilot knows knows what all those buttons are, when to press what, and knows how to operate it as efficiently and effectively given all the conditions that they are dealing with and the stress that they're dealing with.
32:47And I think agentic development, whatever word you want to give it, true agentic development with software skills is akin to that. And I don't, I don't have a word for it necessarily. And I think the words will continue to change, but those kinds of skill sets are absolutely game-changing well i think we'll see several billion dollar companies created in the next two three four years with solo devs because i think people have the ability to do it i also think it's unlock a new type of technologist right you know i think there are people that might not ask yourself like i'm sure you're cutting chops and not up to scratch because it's been 25 years since you used them yeah but you understand fundamental technical architecture i mean i I come through a design background, but, you know, I have done my Python class, you know, so like I understand the core elements.
33:37And I think people like myself and other system thinkers that was never, never had the ability to build anything before. Yeah. I think now can. And I think to your point, can build quite robust systems while they won't be able to kind of like debuck the whatever goes. But often they don't have to because obviously the output is what really matters. And if it's up and running and it's not breaking, then, you know, like it's often fine. Yeah. Yeah. I think the ability to put the pieces together and, um, and do it in a way that, that is still quality, I think is, is also going to be key, but just the models and the technologies around that are just getting so much better.
34:22I, if I think of a year and a half ago, some of the models that were out there that were, you know, if you're writing react or TypeScript or whatever your language of choice is, right. you run into errors you have bugs you have to spend time debugging now you look at a model that just you know like an elpis 4.5 it's amazing what it can do now it's not perfect but you'll be dealing with a lot less bugs and issues if you can kind of harness harness this so i think the future on the ability to create is massively different than it was two years ago and i think it's all about the idea it's what you put into that creation mechanism and what you get out of the other side, if you can figure out the biggest things that might change your business.
35:02The other thing I would just throw out there, Jeremy, which I think is a bit to your earlier question on one of the most important things. I think people have to think about if they were building their company today, how would they build it? I think you have to, whether you do that in an actual sense in the company and you go, okay, we're going to restart our company from today, you know, 50 year old company, 60 year old company. Part of what we think about in various areas of our business and in fact, across our business is if we were starting our company today, how would you build it? Knowing all the things.
35:37That's the important thing, right? Knowing all the things is actually critical. You can't imagine how to rebuild if you don't have that foundational knowledge of what the capabilities are right now. When you sit as a C-suite member and you have that thought, which I 100 % agree with, very fast we kind of get outside the bounds of AI, right? And you're asking foundational strategy questions about your company. What business is it in? All those different things, right? Things that I think we all will have to answer in the age of AI. How do you think about having that conversation with your colleagues in the C-suite and the CEO about, hey, yes, there are technology components up here, but this will require us to potentially re-architecture the design of the organization and other things that are not necessarily technical, but will be affected by the technology?
36:30I think it's fairly easy to get there. And the way in which I've learned is the easiest way to get there, all of the mechanisms to get there take work, is going back to what a company is built to do, what their existing, forget AI, forget about technology. What is that company trying to do this fiscal year? what are their shareholders expect what are the goals of the company what are all the executives aiming to do already and then i think if you can back it into that there's the greatest opportunity to have support on whatever those initiatives are because it's not a side technology project or this ai thing it's fundamentally connected to the thing that everybody's already aiming at And then I think from there, you have greater opportunities to think about how you would reimagine something completely.
37:23And that takes sponsorship right from the top, sometimes from a board. But I also think that most boards and most CEOs are thinking about those things already. And I think these things sort of have a natural progression to come together. But I do think it always needs to start with the company, the vision, what the company's trying to do. And then you do need a technologist, somebody who can straddle both sides, which is what I love about my job is for, you know, the majority of my back half of my career, my management side of my career, I straddle the, you know, the, the, the line in between cutting edge technology and business growth.
38:06and I think putting the two things together has that's the inspiration on what I do and and why continue to love what I do in this area because when you can bring those two things together and you can actually see companies grow there's nothing better from a professional standpoint maybe that's kind of the perfect place to wrap because we talked about where this role would sit you know in an ideal world we haven't talked about who you know if again if you're advising a CEO who goes, I want to hire this person. I want to hire this capability in. Who are you looking for? What are the key skills?
38:42And you kind of, you kind of hinted at it a little bit and I just described yourself, but if you could specify what are the search parameters with a senior leadership team is working for if they want to start to embed this capability. In terms of the person that they need to bring in to help to drive and, and, and play that role. Well, I think it needs to be somebody deeply technical. I think it needs to be somebody deeply technical to understand. all of the detail of how you do it. And that's the first part you have to know, like, if you want an organization leading technology, you know, in 2025, going into 2026, I do think you have to lead by example on these things.
39:21Cause if you don't know the detail of how it's done, then that's a big gap. Number two is I think it has to be a person who can build teams and hire great people to run those functions and achieve the best out of whether you have a team of two, three, five, or 500. I think the efficiency factor of one single full stack developer has increased by a thousand percent, but you have to know how to fly that plane to do it from our previous example. So you have to have somebody who can understand it and then build system-wide thinking from a technical perspective inside the organization to actually execute.
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40:07And the third one, which is the most important one, you know, which I probably put maybe first is somebody who can bridge the gap between all of that stuff of what I just said and make it absolutely unimportant to everybody else in the business. Right. The most important thing is, hey what are your ideas how should we think about this and if the person says well i don't really know what's going on out there to figure this out in a different way that person needs to be able to say well i kind of have a good idea about that let's have a chat about it don't worry about it yeah right yeah but you kind of have to go back to the all right you know what i think we you know somebody might say we do 500 pieces of content every month oh all right well how do we do that right and it's that it's that how do we how do we how do we and if you get to the point where you land on it and you say wow we could do these 500 pieces of content 30 faster let alone 80 faster you know you now have a an roi which you need in any company there to keep going on these things so i think those three things are really really important but the human side of it the ideas the demystifying the ai stuff as complicated and as invigorating as it is i think there are kind of two sides of the equation that are equally important.
41:18Can I just throw in a last question? That is, what are some new kind of like experiments you're doing in your own personal life with the AI? I have, I think going back to the command line interface and having that kind of always up and running on my phone, connected and on my development server at home is just the ability to think and create at a, at a speed that I'd never been able to. And it's all the way from thinking and ideating to building something small, testing something. I think those, those concepts are, are incredibly powerful. And, and sometimes I, it's almost like, how far can I take this?
42:07What else can I do? What else can I connect to it? I've started to think about ways that, you know, financial planning, my own financial planning and taxes and things like that, that, you know, you can just rip through a command line interface by uploading your files in a private environment and not going online to do it somewhere. I'm going to just give you this, which is like a concrete thing that blew my mind. So I'm in the US on a visa and it takes like quite a lot of work to renew the visa. You have to answer literally 60 or 70 questions. A lot of them are like full tax returns, stuff like that.
42:42And so I got the list of requirements for my, and I've been having this visa for a long time, but it has to be done every 18 months on my specific visa. And so I got the requirements. I literally dropped it in cloud code and I basically said, you have full access to my hard drive, which obviously have like my task return list on. Please just do as much as you can. And lo and behold, it just came back and it pretty much filled out like 70 % of the whole thing. So cool. It was so cool. I was like, okay, you know, I didn't have to do that. Got the visa. That's amazing. When you SSH into your box at home to use cloud code, do you use Tmux to make sure that you don't lose the terminal?
43:21You got it. Yeah. You got it. That's probably the biggest hack in that setup. It's so cool because otherwise, obviously, you're gone from it. Yeah. So the big unlock for me when starting to use cloud code to not just coding, but also like my workflows is this morning exercise where I have Todoist running with an MCP server. And then I have basic clock code, review all my to-dos and pick stuff that has high confidence that it'll be able to solve for me. It puts it on this long list. Then I add more stuff to the list. And then I basically add it to spin up a bunch of sub-agents to go and solve all these different tasks for me.
44:00And then I kind of do all the stuff. And then throughout the day, I jump in and kind of correct the stuff that I have. I read Obsidian so I can have easy access to the markdown files on my local machine. One thing that I haven't tried, but I was curious you have, is to create like a master agent that you can use as the one that deployed to subtask to avoid you having 20 different tabs open, but just have one tab and then have that agent help you contact switch or not. So have you done anything in that space? I have a master agents.md file. And so all of the things that I want that are consistent across all of, because I actually use a mix of Cloud Code as well as my cursor, but I'm strictly in the CLI.
44:54And I just find Cursor Composer 1, which is their cursor's own model, fine-tuned model. Might be a GLM fine-tuned model, but it's excellent and it's super fast and then obviously opus 4.5 is super smart not blazing fast but faster than sonnet i think sometimes um i guess depending on what what you're doing so that master agents.md file has all of my stuff in it you know i'll give you an example so i have a commute mode so my commute mode is when i'm driving i might have told jeremy this when we met when i'm driving or when I'm on the train, I have the ability through, um, T-Mux running on my home server access through Termux on my Android device.
45:38And I can just speak to it. So I can put my mic on and I go, I'm thinking of this, or I need to do this or whatever. And then when I have commute mode on, I can actually just turn it off and put it in my pocket. And when it's done the response, it'll like speak it to me in my ear. So that's a, that's a workflow that I love. um is that terminus that you use on your android or i no i use um what's called termux on uh on android so it's um that's just an app itself yeah termux is an app it's been around a long time um i think it's open source and i use that you know here this is this is it running on my phone right so i've got i've got multiple tabs of things let's see if this camera can pick it up each one of those tabs is um not really but it's multiple tabs you have to trust me so one is um cursor cli the other one is cloud code could be a bunch of different instances that i'm running so commute mode is amazing because i feel like i've got you know a terminal running in my phone that's always on that allows me just to communicate with it through voice and to get the responses back in natural language just somebody talking right back to me and i kind of switched back and forth and it is really powerful i found it to be very powerful and the only other one i'd leave you with is you know i have a five-year-old daughter and she's incredible and uh she's she's gonna do whatever she wants to do in the world but she and i over a period of time and i'm teaching her some of this stuff because i think kids at a young age being able to learn how to bring ideas to life is going to be a next skill think of kind of vibe coding but like if you have a five or six or seven year that is able to kind of create ideas.
47:19I think it's extremely powerful. So we've created an app for her that we use at bedtime sometimes, not all the time. And it's called Story World. And so Story World is connected to all the latest image gen models and all of the rest of it. And so she at nighttime can say, Daddy, I want a story about, fill in the blank, a princess and a dragon, I don't know, in a valley somewhere that's magical. And so what we do is we actually custom create these stories. And it obviously creates a story, but also creates the image and the images kind of look like her and her grandparents and her mom and me and others right because because we've done all of this in this one app it's amazing to me the child can think of something in their imagination at five see it come to life experience it with their parents you know just a storybook but to be able to see that sort of possibility i think unleashes maybe future creativity where a kid might say yeah i could do anything i just you know kind of grew up that way where i thought of something and kind of made it made it work and made it happen so and you know we also do a lot of offline stuff i don't think the world is just online and ai so we try to do a healthy mix of a boat that's awesome that's a beautiful place to end it's a beautiful place really really beautiful hey thank you so much for coming on very very inspiring to hear what you've done.
48:40Congratulations, man. That was a really fun conversation. Yeah, really. Hopefully, Hamza, we can add 1 % more to your fame profile through this episode. Well, listen, it's an honor talking to you guys. I think the world you sit in and all the things that you see and listen to some of your... I didn't get through all of them, obviously. There's actually a lot of great content on this stuff, but I listened to a couple of them and it's fascinating. It is really fascinating. So thank you very much for the opportunity. and for creating space for me to be on here. So you're amazing. I mean, what an amazing, what an amazing guy, right?
49:15He's such an incredible person. I mean, like it's, it's so nice to see and hear the energy of people who have ideas and have had like a long and cool career, but probably become more of a manager. Basically going like, hey, this is an opportunity. Come go back and get my hands dirty. And you can always like feel the energy, right? Like I'm like, hey, I'm actually able to actually do this stuff now again? You said it's like going back to my 25-year-old self, which I just love. It's a cool way to think about it. I think it does beg the question. I mean, we've talked a lot about what does it take to build the capability in the organization?
49:51And to me, to have a credible, technically-minded, but also business-savvy leader, I mean, what we didn't even get into, and Henrik, I kept wanting to, but just that conversation didn't go there. But he's a very successful founder. He's sold businesses. He's an entrepreneur, right? And we didn't even get it. I was hoping when I asked him at the end about skills that he would kind of get into entrepreneurial resourcefulness because I think it's actually a part of the equation. He mentioned three things. He says you need to have good technical understanding. Then you have to be able to basically get the people together.
50:24You need to be able to attract people. And then you have to bridge into the domains like the CMOs. And when I look at one of the technical chops that I always look for when we invest, it's basically first agitation. That's getting things done, which is kind of like having the technology, but also the energy to do it. Just to be clear, you didn't say agitation. You said agitation. I said agitation. Yeah, I just want to make that word clear because that's a really good word. I look for people who have something that propels them forward, right? And clearly he did. And the second thing I talk normally about is what I call gravity.
50:59but that is so that you can gather people around you, gravity to kind of hold a story, gravity to get other people to pay attention to what you're saying. And that's about recruiting people, recruiting sponsorship of ideas and stuff like that. And then he talks about bridging. I normally talks about resourcefulness, like being able to basically get a lot done with a little because often you don't have that. And he obviously also just showed that in spade, right? He talks about spending two hours a day learning, but not in his day job time, but in his commute time, for example. But I do think that he is such a good example of these new technology leaders that are coming and having success because they can bridge domain expertise, technology, experimentation, all these different things that historically was very defined as entrepreneurial.
51:56but I think now is becoming kind of the hallmark of an AI super leader. Yeah. I love, love, love his continued emphasis on the one hand mastering AI and on the other hand, downplaying AI in the organization. I think that is a, I think the danger is to fall in the middle where you overhype AI and you under master it, right? But what he's done is he's mastered far more than most folks I see in organizations, you know? And when I met him, I think I told you this before we were recording, when I met him in Toronto, we had lunch together and he's showing me stuff. He's running on his phone. He's like this.
52:34He's like, watch this. And he's speaking into his commute mode. Hey, would you add a feature of my app? Just brainstorm and decide what feature you want to add, then do it. And then we keep eating our sushi. And he goes, look at that. It just had this feature on my phone. So he's so deep. And yet I thought it was brilliant how he talked about his tactics in the organization are just forget AI. Like, what's the problem? What are you trying to do? And he's not leading with, okay, and now AI can help you. It's just, he's all about the how and understanding the what. Another thing that I think he brought kind of forward to me was that you had these super users and you need spaces for them to play.
53:13And so for him, that was a portal that they created or a lab. I think other organizations have other way of doing it. And of course, you want to give everybody the opportunity to play with these things because, A, that's how you find out where they are. But also, you know, it's good for the organization general. But I think one thing that was pretty profound is when you're then moving into the next phase where you're looking to get a gentile upgrades to your organization, You're looking at workflows that you could basically put to code. Then there is, I think there has been this thinking that that will just organically materialize.
53:51This will be a grassroots kind of thing. I think what he laid out is, no, this is something that is a capability of a specific subset of people. They will identify basically best practices or good ways of using AI, but super contextualized to the specific work that people are doing. And then you go back and saying, hey, salesperson, I have a better way of you making sales tech or hey, marketing person, here's a really good way for you to access data. Instead of going like, and now we're going to learn how to prompt, you know, and then. And so this just seems to be like a hyper efficient way to get people to use technologies because they're going to help them in their day job, not because it's technology for its own sake.
54:39I think it'd be fun. I mean, maybe it's because I was with Bryce yesterday. But on one hand, you've got somebody like Bryce. Bryce from Moderna for people. Yes. Yeah. Sorry. Listen to that episode. He's great. But he is all about democratizing and enabling everybody. Right. Right. And Humza basically represents this other paradigm. I think it'd be fun. I'm proposing to you, and you can tell me whether you liked it or not, you get the two of them on a call and to talk about what is this groundswell, grassroots, bottom up? Because right, if you think about what Bryce did, they had a prompt competition.
55:15That's very different, by the way, than an idea competition, isn't it? Right? And on and on and on. I think it could be a super cool conversation. One thing I wanted to mention that I thought was really cool, especially if we're going to do a little teaser trailer, so to speak. But I thought it was really cool how he mentioned that they've got this idea gen competition kind of inspired by Dig. But he said, basically in the organization, they've used AI to create this, but he said, they've got basically an idea competition platform where anybody in the organization can submit an idea and anybody in the organization can upvote or downvote like Dig.
55:50But then here's the thing. Here's the thing. People listen to this. once a quarter, we take the top three and we do a build in a day where each of the people who champion that idea gets to sit next to an agentically capable AI builder and they go from concept to actual realized thing in a day. And to me, that is if you don't have that mechanism of the build in a day, and he said, by the way, then there's a demo day the next morning, right? Which shows the organization, we value your ideas. We can materialize them. It matters what you vote on. You should bring the stuff that you can't build. Like it creates all sorts of social momentum by having that.
56:33I mean, I think Henrik, when we talked to Wade Foster, Zapier, he talked about a hack week and that's kind of a organizational layer. If there's enough people in the organization, you're kind of capable of doing the quote unquote build in the day, you can do a hack week. But if there aren't people who are capable, I think to me, this was a really authentic mechanism for Hamza and the MLS8 team to say, we're not trying to get everybody to the point that they can build, but we want to have mechanisms where folks share their ideas. And then we know we have the capability to realize the best of those ideas.
57:05That to me, is a very elegant mechanism. And we think about kind of culture transformation. It's really hard to overstate the importance of that kind of event and moment in what it does to the hearts and minds of the people of the organization. A hundred percent. Maybe that's a good spot to stop. And then for the people who have not heard this, the conversation yet, they should definitely check it out because it's awesome. And for the people who have listened to the whole conversation and have reached this point, thank you so much for listening all the way through. Wow. Thank you. Thank you. Thank you.
57:40I think that's it. And then as always, if you have suggestions, comments, idea, we read all the stuff that people post on Facebook and we're very happy with all the comments that people put on the various platforms. So thank you. Thank you. Thank you. Keep doing it. And promote, subscribe, like, all this stuff. Introduce us to your cool friends. You know, we love that. We have people who go, hey, you know who you need to talk to? And then you know what happens? We get Hamza on the pod. Okay? This is what happens. We have friends who introduced us to Hamza. Who should we talk to next? And with that, we only have one thing left to say, and that is bye-bye.
58:13Bye-bye.
From the publisher
In this episode, Humza Teherany breaks down how he bridges deep technical fluency with strategic leadership at MLSE, home to the Raptors, Maple Leafs, and more. He shares how a vacation turned into an AI reawakening and how that hands-on immersion led to a fundamental shift in how his organization builds and experiments.
Humza walks through MLSE’s build in a day practice, their internal AI platform, and why speed to prototype now unlocks more than just efficiency. It changes who gets to shape the future. He, Jeremy, and Henrik explore the limits of traditional enterprise AI rollouts and how to build spaces for superusers that enable company-wide transformation. The conversation covers how technical literacy impacts credibility, why idea execution is the new differentiator, and how Humza’s five-year-old inspired a bedtime story app powered by AI.
Whether you're a CTO, a founder, or just figuring out where to start, Humza makes a compelling case. The best leaders don’t delegate this moment. They build.
Key Takeaways
- Leaders should not delegate the AI moment
Humza, Henrik, and Jeremy agree that this is a moment for leaders to be hands-on. The ones who build and explore the tools themselves are the ones unlocking real impact. - Technical fluency builds credibility and better decisions
Humza’s return to his technical roots has changed how he leads. Understanding how AI works helps leaders earn trust and make smarter, faster choices. - Speed enables inclusion
MLSE’s build in a day model allows more people to contribute ideas and see them turned into real prototypes. Moving fast isn’t just efficient - it changes who gets to participate. - Empower your superusers first
Rather than starting with enterprise-wide training, Humza focuses on enabling the small group already eager to build. That early energy helps drive broader culture change.
MLSE: mlse.com
LinkedIn: Humza Teherany - LinkedIn
00:00 Intro: Humza Teherany and MLSE
00:27 The Role of C-Suite Leaders in AI
01:08 Reconnecting with Technical Skills
02:08 Diving Deep into AI Tools
03:03 The Importance of Hands-On Learning
04:25 Progression from Consumer to Technical AI Tools
07:28 Building a Business Case for AI
10:03 Creating a Culture of Innovation
14:00 Implementing AI in Business Operations
21:05 Challenges and Strategies in AI Adoption
26:17 Organizational Structure for AI Success
32:02 The Importance of Reviewing and Planning Code
33:01 The Future of Solo Developers and New Technologists
34:58 Reimagining Company Structures with AI
38:55 Key Skills for Future Technology Leaders
41:19 Personal AI Experiments and Innovations
46:52 Encouraging Creativity in Children with AI
49:11 The Debrief
📜 Read the transcript for this episode: building-an-enterprise-ai-innovation-lab-a-master-class-with-humza-teherany-chief-strategy-officer-of-maple-leaf-sports-and-entertainment/transcript
For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:
Henrik: https://www.linkedin.com/in/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley
Show edited by Emma Cecilie Jensen.




