Why Dropping AI Into a Broken Process Makes Everything Worse ft. Mike Toguchi

The Model Doesn't Matter: What Actually Creates 10x AI Productivity ft. Clive Moore

Technology decisions feel heavy when AI and data privacy collide. In this episode of The CTO Compass, I sit down with Clive Moore, a UI/UX designer with 25 years of experience who became the founder of GPT Studio and Workilo. After experiencing a severe ransomware attack on his agency's self-hosted GitLab instance, Clive shifted his focus to building safer infrastructure for agencies and businesses. We discuss why the underlying AI model does not actually matter as much as the foundation you build it on. Clive details his method of keeping data private by relying on Canadian data sovereignty laws rather than default US cloud services. He also explains why setting strict guardrails on AI agents and keeping a human in the loop is the only way to avoid contributing to the growing volume of AI-generated slop online. Listeners will discover practical ways to adopt AI without getting locked into a single platform. You will learn how pre-trained agents can handle real business workflows, such as checking construction invoices for fraud, while maintaining your brand voice and data security. If you want to move past the hype and deploy AI safely, this episode provides a clear roadmap. Key Takeaways * The specific AI model you choose matters less than the infrastructure and guardrails you build around it. * Hosting data on localized servers provides data sovereignty and protects corporate information from broad surveillance laws like the US Patriot Act. * Fully autonomous agents still confabulate, making human oversight necessary to maintain quality and prevent AI slop. * Building an LLM-agnostic system lets you switch between models like OpenAI, Claude, and Cohere without losing your historical data. * You can eliminate the garbage output problem by pre-training agents with established standard operating procedures and specific brand voices. * Practical AI adoption focuses on tight operational tasks, like auditing supplier invoices for erroneous charges or managing an executive calendar. ABOUT CLIVE Clive Moore is a Canadian entrepreneur and agency veteran with 25+ years building brands and creative teams. He's the founder of GPT Studio, a Canadian-hosted, model-agnostic enterprise AI orchestration layer built for teams that need speed without surveillance. His work challenges the assumption that better AI means better models—proving that 10–15x gains come from better infrastructure around existing models. He calls this "infrastructure over magic." GPT Studio is built on Canadian soil, for organizations that treat data sovereignty as architecture, not compliance. CHAPTERS 00:00 The Designer's Approach 05:53 gptstudio and workilo 13:15 Ad 13:47 AI Adoption Fear 16:41 gptstudio's Userbase 18:55 Ad 19:06 Servers and AI Agents 25:08 AI Platform Locking 27:50 Teaching in the Age of AI 31:08 What's Next? WHERE TO FIND CLIVE • Website: https://gptstudio.workilo.io/ • LinkedIn: https://linkedin.com/in/clivemoore • Instagram: https://instagram.com/clivemoore1979

Stop Panic-Buying AI: The Silver Bullet Myth That's Making You Slower ft. Asim Kumar

Mark Wormgoor sits down with network architecture veteran Asim to unpack what 32 years in the technology trenches teaches you about surviving massive industry shifts. Asim earned his CCIE certification in the year 2000, right before the dot-com bubble burst, and later pursued an MBA and CFA prep right into the teeth of the 2008 financial crash. Now, as the industry faces the wave of generative AI and agentic automation, Asim shares how those historical failures forced him to stop buying the industry panic and start building personal resilience. Mark and Asim dive deep into the reality of "vibe coding" and agentic AI, exploring how non-technical founders and seasoned engineers alike are building entire platforms over a single weekend. But with rapid deployment comes massive risk. They discuss the critical "black box problem," why security must be built-in by design rather than bolted on as an afterthought, and why the ultimate tech leadership superpower in the era of AI isn't prompt engineering, it's governance and human oversight. Whether you are a founder rushing a new build to market or an enterprise executive steering a legacy modernization project, this conversation serves as a practical blueprint for balancing your people, processes, and technology when the ground beneath you is shifting fast. ABOUT ASIM Asim Kumar is a Solution Architect who bridges the gap between deep technical systems and human psychology. Holding the industry’s highest credentials (CCSP, CISSP, CCIE, PMP, MBA, MSIS), I spent 30+ years "unblocking" multimillion-dollar networks for global enterprises. But his most profound expertise comes from a personal battle. For two decades, he lived a dual life—a celebrated Tech Consultant by day, but secretly "blocked" by fear and significant losses in the financial markets by night. This struggle taught him a critical paradox: You cannot fix a blocked mindset with a faster technology. Now, as the author of UNBLOCKED: The Power of Real Intelligence in the Era of AI, he challenge the modern obsession with technology. he helps leaders and entrepreneurs move from "Fear-Based Decision Making" to strategic clarity. His core message is that while Artificial Intelligence offers speed, only Real Intelligence (empathy, discipline, and focus) provides direction. CHAPTERS 00:00 What's New In The Era of AI? 11:26 Worldwide Technology 13:51 Ad 14:21 Cybersecurity In The Age of AI 16:12 Panic Selling vs Panic Buying 22:36 Applying AI in Today's Market 29:04 Ad 29:15 The Problem With Vibe Coding 33:29 Who is "UNBLOCKED" for? 37:06 What's the Next Step? WHERE TO FIND ASIM • Website: https://avignallc.com/ • LinkedIn: https://www.linkedin.com/in/asim-avigna/ • Instagram: https://www.instagram.com/asim.avigna • YouTube: https://www.youtube.com/@asim-avigna

Why Dropping AI Into a Broken Process Makes Everything Worse ft. Mike Toguchi

Most technology leaders start by looking at the tool. Mike Toguchi, Chief Strategy Officer at Tectonic, argues that is the wrong beginning. If you drop AI into a broken process, you don't fix the problem, you only accelerate the failure. Mike joins the conversation to discuss why the most critical technology decisions often happen outside the engineering team and how to build systems that scale without drowning in technical debt. Mike brings a unique perspective as a strategist who studied government and politics rather than computer science. Having spent 23 years evolving with the same company, he has seen the transition from simple web digitization to the current age of AI. We talk about the "bad cop" role a partner must play in forcing standardization across departments and why the biggest hurdle to digital transformation is rarely the code, but the legacy silos and people who protect them. We also dive into the reality of AI governance and policy. Mike shares how his team navigates the tension between rapid innovation and protected data in high-stakes environments like university disability services. It is a discussion about judgment, critical thinking, and why the next two years will separate the leaders who aggressively pursue change from those who simply try to limp along. ABOUT MIKE Michael "Mike" Toguchi is the Chief Strategy Officer at Tectonic, formerly eResources, where he leads platform direction for application management systems that streamline complex processes like scholarships, grants, admissions, and accessibility services. With over 25 years of experience driving digital transformation for universities, non-profits, foundations, and associations, Michael specializes in simplifying internal workflows to help mission-driven teams reduce manual work, scale sustainably, and strengthen compliance. His work powers organizations including Stanford, UC Davis, PG&E, the Roddenberry Foundation, and Google’s Certified Innovator Program. At the core of his mission is a commitment to building technology that enables teams to focus less on managing systems—and more on delivering meaningful impact. CHAPTERS 00:00 Politics to Technology?!??! 06:08 What is Tectonic? 11:55 Ad 12:27 23 Years of Growth and Change 15:41 The Value of People 19:51 Customization Accommodation 26:44 Ad 26:55 Who Makes Technology Decisions? 28:25 AI Implementation and AI Policy Issues 36:36 The Future of Tech WHERE TO FIND MIKE * Website: https://www.teamtectonic.com/ * LinkedIn: https://www.linkedin.com/in/miketoguchi/

3 Critical Career Mistakes Engineering Leaders Make ft. Limor Bergman Gross

This episode focuses on the transition from technical execution to organizational impact. Limor Bergman Gross shares how many engineering managers get stuck because they focus solely on being good at their jobs. She explains that promotion to director or VP levels requires a shift in focus. It is no longer about how well you code or manage a sprint, but about how well the organization knows your impact. The conversation explores the "trust gap," where leaders mistakenly believe their direct manager is the only one who needs to see their value. Limor and Mark discuss the necessity of building strategic relationships across the company. They provide a framework for stakeholder management that relies on curiosity and solving business problems rather than internal politics. This approach helps technical leaders gain the visibility needed for executive roles. Finally, the discussion covers the practicalities of leadership like delegating effectively and giving direct feedback. Limor highlights the "busy trap" where leaders fill their schedules with low-impact tasks to feel productive. She offers strategies for pushing back on non-essential requests to create space for strategy. The episode concludes with advice on using the Radical Candor framework to build high-performing teams through clear, empathetic communication. ABOUT LIMOR Limor Bergman Gross is a former Director of Engineering with over 20 years of experience across software engineering, engineering management, and organizational leadership. She has led teams through growth, scaling pressure, and complex delivery environments, working closely with CTOs and senior executives to align technology, people, and business priorities. Known early in her career as the “reliable leader” and escalation point, Limor learned firsthand how high-performing leaders can unintentionally become bottlenecks at scale. Today, she works as an executive leadership coach with senior engineering leaders and CTO-adjacent roles, helping them transition from hands-on decision-makers to strategic leaders who build teams that think, decide, and execute independently. Her work focuses on decision-making, ownership, leadership culture, and the real trade-offs tech leaders face as they move from execution to executive impact. CHAPTERS 00:00 Software Engineer to Leadership 06:33 Getting Promoted 14:39 Ad 15:11 What are You Busy With? 20:26 How to Give Feedback 22:53 Female Engineers! 24:50 Coaching The Executives 29:08 Ad 29:19 Getting Unstuck 36:54 Working with Different People 40:45 What is Your Impact? WHERE TO FIND LIMOR • Website: https://limorbergman.com/podcast/ • LinkedIn: https://www.linkedin.com/in/limorbergman/ • Instagram: https://instagram.com/limorbergman • YouTube: https://www.youtube.com/@LimorBergman

Your AI Strategy Will Fail for the Same Reason Your Last ERP Did ft. Abhijit Verekar

Most large-scale technology projects don't fail because the software is broken; they fail because the incentives are misaligned long before the first line of code is written. AV, founder of Avira Advisors and author of Start at Zero, joins Mark Wormgoor to discuss why massive ERP implementations, like the Birmingham City Council’s £200 million disaster spiral out of control and how tech leaders can prevent the same history from repeating itself with AI. AV argues that the "abusive" nature of traditional consulting often stems from a lack of "Phase Zero" preparation. Organizations frequently jump into software selection and vendor RFPs without understanding their own internal processes, political buy-in, or desired outcomes. By the time an implementation partner is on-site, the customer has already lost their leverage, leading to endless change orders and "fluffy" risk registers where every red flag is painted green. As we move into the age of AI, AV sees enterprises making the exact same mistakes: chasing shiny "agentic" products before they have established data sovereignty or governance. This conversation serves as a pressure-test for any leader about to sign off on a major digital transformation. AV shares how to reclaim ownership of your data, align consultant incentives with business value, and why the future of consulting belongs to those who can bridge the gap between AI-native thinking and human judgment. Key Takeaways • Success in high-stakes projects is determined before the RFP; spend time documenting processes and securing political buy-in before talking to vendors. • Traditional consulting can become "abusive" when vendors dictate timelines and products based on their own sales targets rather than the client's actual needs. • In the AI era, leaders must ensure they own their data and can move it between third-party tools rather than being locked into a single SaaS provider's ecosystem. • Like ERP, AI adoption fails when it is treated as a product-first purchase instead of a business-process transformation requiring clean data and human oversight. • The traditional billable-hour model is collapsing; value now lies in senior-level judgment, "blameability," and the ability to integrate AI "Lego bricks" into delivery. • While AI can automate the "grunt work" of deliverables, final accountability must always rest with a seasoned human expert who carries the risk of the decision. ABOUT AV AV is the CEO of Avero Advisors, a government consulting firm he built from zero to $7.5 million over the last ten years. He's spent two decades helping state and local agencies navigate ERP implementations, AI strategy, and digital transformation, and he's been in the room for a majority of these engagements. He's currently writing a book called Start at Zero and rebuilding his firm around AI agents that handle everything from business development to content production and delivery. Before Avero, AV spent a decade inside the traditional consulting world learning how the machine worked before deciding to build something different. Avero operates as the buyer's agent for government agencies, sitting on their side of the table instead of the vendor's. The firm has grown to a team of around 40 to 50 people, including a Global Innovations Center. Outside of consulting, AV is an active investor. He's invested in BSG Hospitality and Market Square Ventures, applying the same builder's mindset to opportunities outside of govtech. When he's not running the firm or writing, you'll probably find him on a motorcycle. He's an avid rider who uses long rides the same way some people use meditation: to think, decompress, and come back with clarity. AV brings a rare combination to any conversation: deep technical credibility in government technology, real experience bootstrapping and scaling a services business, and an honest willingness to talk about what he got wrong along the way. He's not going to give your listeners a sales pitch. He's going to give them something useful. CHAPTERS 00:00 When Consulting Becomes Abusive 08:46 Laying Down the Foundation! 11:43 Ad 12:14 Private Companies vs Private Sectors 16:51 Excited AI Implementation 20:26 AI's Impact 27:09 Ad 27:20 How do You see the Future? 32:29 Starting Out Today! WHERE TO FIND AV • Website: www.averoadvisors.com • LinkedIn: https://linkedin.com/in/verekar/ • Instagram: https://www.instagram.com/verekar/ • Twitter: https://x.com/AbhijitVerekar AV’s Book https://www.amazon.com/Start-Zero-Leading-Stakes-Modernization/dp/B0GZFQLDJ3 [https://www.amazon.com/Start-Zero-Leading-Stakes-Modernization/dp/B0GZFQLDJ3]