Between Fires and Futures: Real Conversations for Tech Leaders Navigating What’s Now—and What’s Next

Tonya Turrell
  • 5.0 (6)
  • Technology
  • Updated Weekly

Between Fires and Futures is the podcast for modern tech leaders caught in the constant tension of today and tomorrow. It’s the space between daily firefights—cloud issues, AI hype, security breaches—and the visionary work of building scalable, resilient, future-ready organizations. Each week, we talk with the strategists, technologists, and innovators doing the real work of leading change. These are unfiltered conversations that expose the tradeoffs, wins, and lessons no one puts in the case studies. No spin. No fluff. Just pressure-tested leadership, real-world insight, and bold thinking. https://www.technologymatch.com/ 

  1. May 25

    The Cheapest Decision in IT Is the Most Expensive One: Why Mid-Market Tooling Choices Are Quietly Capping Your AI Strategy with Corey Wisdon

    What if the technology decision that saved your company money three years ago is the very thing slowing your growth today? In this season two finale of Between Fires and Futures, Tonya sits with Corey Wisdon to unpack one of the biggest hidden problems in mid-market IT: the long-term cost of “cheap and fast” infrastructure decisions. Corey shares the story of a $3 million enterprise deployment that took eight months before users could even log in, and how that experience completely changed the way he approaches IT strategy, ServiceNow implementations, and AI adoption today.  They also dive into the surprising reality behind enterprise deployments, the burnout happening on service desks, and why simplicity, integration, and long-term thinking matter more than ever in 2026. Tune in to hear:  Why the “fast and cheap” IT decision often becomes the most expensive one later  The hidden costs of fragmented tool stacks and over-customized platforms  What really causes enterprise deployments to stall after go-live  Why many organizations are failing to see ROI from AI tools  The biggest mistakes companies make when rolling out AI internally  How poor governance creates “agent sprawl” inside organizations  Why mid-market companies are underserved by enterprise IT vendors  The difference between ticketing systems and scalable enterprise platforms  How RL Canning’s hosted ServiceNow model gets organizations live in just 45 days  The importance of roadmap thinking instead of reactive technology purchases  Why simplicity is becoming the most important strategy in modern ITConnect with Corey:  https://www.linkedin.com/in/corey-wisdom-553a1611/https://www.linkedin.com/company/rl-canning/https://app.technologymatch.com/solutions/servicenow

    40 min

  2. May 18

    Everyone’s Talking About AI, But No One’s Saying This with Raheela Nanji

    AI is moving fast, but most leaders aren’t talking enough about the human side of what this moment is actually creating inside organizations: fear, uncertainty, imposter syndrome, and the pressure to adapt in real time.  In this conversation, Tonya sits down with leadership coach and business strategist Raheela Nanji to unpack what leadership really looks like in the AI era and why the biggest challenge organizations face right now isn’t the technology itself. It’s how leaders guide people through the uncertainty surrounding it. Drawing on more than 25 years of experience across technology, marketing, and business leadership, Raheela shares what she’s seeing behind the scenes inside organizations navigating AI adoption, from confusion and panic to innovation and possibility. Together, they explore why psychological safety, empathy, curiosity, and communication are becoming the most important leadership skills in modern business.  In this episode, they explore:  Why AI is reshaping jobs rather than simply replacing them  The hidden fear, uncertainty, and imposter syndrome leaders aren’t openly discussing  Why psychological safety matters more than ever inside organizations  How leaders can communicate AI initiatives without creating panic or resistance  The danger of relying on AI without critical thinking and human oversight  Why curiosity and empathy are becoming essential leadership skills in the AI era  What organizations are getting wrong with AI spending and strategy  How companies are using AI to scale knowledge, systems, and decision-making  Why vulnerability and transparency build stronger leadership trust during uncertainty  How AI is exposing leadership gaps that already existed beneath the surface  The importance of helping teams adapt instead of pretending leaders have all the answers  What separates organizations that will successfully evolve with AI from those that fall behindConnect with Raheela: https://www.linkedin.com/in/raheelananji/ https://ree-consulting.com/

    48 min

  3. May 11

    AI Is Exposing Security Gaps Most Companies Don’t See: Why Reactive Security is Failing And What IT Leaders Need To Do Next with John Fraser

    AI is accelerating cybersecurity threats faster than most organizations are prepared for, and this episode will challenge the way you think about security, visibility, and prevention in the age of AI. In this conversation, Tonya sits down with cybersecurity strategist John Fraser to unpack how AI is exposing security gaps inside organizations and why traditional “detect and respond” models are no longer enough. With experience spanning Department of Defense programs, enterprise IT environments, and high growth SaaS ecosystems, John brings a practical perspective on what’s actually happening inside modern security teams and where companies are falling behind. In this episode, they explore:  Why AI is exposing security gaps most organizations don’t even realize they have  How rogue AI usage inside companies is creating massive risk  What happens when employees upload company data into LLMs and AI tools  Why “detect and respond” security models are struggling to keep up  How ransomware attacks have accelerated from days to minutes  The real reason security teams are overwhelmed with alerts  How AI is lowering the barrier to entry for cybercrime  Why attackers are using AI to scale malware and phishing attacks  The hidden risks of AI coding tools and copilots  Where traditional zero trust security approaches fall short  Why VPNs create dangerous visibility blind spots  What organizations are missing when it comes to cloud security visibility  The difference between reactive security and preemptive threat prevention  Why visibility into network traffic matters more than ever  What modern inline threat prevention looks like in practice  How organizations can reduce alert fatigue and SOC overload  Why companies need to treat AI as both a productivity tool and a security threat  What separates organizations that adapt from those that fall behind in the AI era Connect with John: John.fraser@trinitycyber.com

    37 min

  4. May 4

    Your Employees Already Work From Anywhere, Your Infrastructure Doesn’t with Jess Jorgensen

    If flexible work feels like the future but your infrastructure still feels stuck in the past, this episode is going to challenge how you think about connectivity, security, and control. In this conversation, Tonya sits down with Jess Jorgensen, founder and CEO of Go Roam Tech and Blush Technology Group, to unpack what’s really happening as work becomes untethered from place. From RVs and remote canyons to enterprise environments, Jess shares what breaks when people move faster than infrastructure and why most organizations are still operating on systems that were never designed for this reality. They dive into the hidden risks of distributed work, the growing gap between IT responsibility and control, and what it actually takes to support a workforce that can log in from anywhere. Jess brings a rare, real world perspective from living and working fully remote, showing how the same foundational principles apply whether you’re running an enterprise network or working from the road. This episode is a practical and eye opening look at what it means to build infrastructure that moves with your business and why the future of IT starts at the edge.   In this episode, they explore: Why flexible work is already happening with or without company approvalWhere infrastructure actually breaks in remote and hybrid environmentsThe hidden risks of patchwork systems built during COVIDWhy one internet connection is effectively zero in a remote worldHow security gaps are expanding as employees work from uncontrolled environmentsWhat IT leaders are underestimating when it comes to AI and remote accessWhy shadow IT and unauthorized tools are accelerating riskThe real reason remote work is now a talent acquisition and retention strategyHow poor user experience drives employees to create risky workaroundsWhat it takes to create secure, always on connectivity anywhereWhy IT must shift from control to enablement in a decentralized worldHow to rethink your tech stack for the next 12 to 18 months  Important Links: https://app.technologymatch.com/solutions/working-from-roam https://app.technologymatch.com/solutions/advisory-services-1

    50 min

  5. Apr 27

    What IT Leaders Still Get Wrong About Data in the AI Era with NetApp’s Ray LaMarca

    If AI feels like the right move but you’re still not seeing results, this episode reframes where the real problem is. In this conversation, Tonya sits down with Ray LaMarca, Director of Solutions Engineering at NetApp, to unpack why most AI initiatives stall out before they ever deliver value. It’s not the tools. It’s the foundation underneath them. They break down what’s actually going wrong behind the scenes, from siloed data and security risks to misalignment between business and IT. Ray shares what he’s seeing across enterprise teams, where companies are overspending, and why ROI is taking longer than expected. This episode is a grounded look at what it really takes to turn AI from an experiment into a strategic advantage and why it all starts with your data.   In this episode, they explore: Why most AI projects fail before they ever reach production and what’s really causing itThe hidden breakdown between business and IT and how it impacts resultsWhy data security is still the number one concern for IT leaders in the AI eraHow siloed data systems create inefficiencies, risk, and missed opportunitiesWhat actually happens when your data isn’t clean, complete, or protectedWhy massive investments in GPUs and cloud infrastructure aren’t delivering ROIThe real reason companies are slow to see value from AI initiativesHow supply chain, timing, and misaligned investments derail outcomesWhy asking better questions is the fastest way to avoid failureWhat it means for IT to shift from cost center to revenue driverHow partnerships, not just products, determine success in modern IT strategyReal world examples of companies using AI and data to drive efficiency and innovationWhat IT leaders should prioritize over the next 12 to 18 months to stay competitive  Important Links: https://app.technologymatch.com/solutions/netapp-ai-data-engine https://app.technologymatch.com/solutions/netapp-afx

    39 min

  6. Apr 20

    AI Isn’t a Tool. It’s a Coworker: Why data and autonomous development will define the next era of software with Rich Walker

    If AI feels like the biggest opportunity (and risk) in your business right now, this episode reframes the conversation in a way most leaders are missing: it’s not an AI problem, it’s a data problem—and more importantly, it’s a thinking problem. In this conversation, Tonya sits down with Richard Walker, founder and CEO of Quick, to unpack what’s really driving outcomes in the AI era. Drawing on decades of experience structuring and scaling data across millions of forms, Richard challenges the default way most companies approach AI—as a tool—and introduces a far more powerful lens: AI as a coworker. They explore why everyone has access to the same models, but vastly different results, and how the real differentiator lies in how you think, plan, and interact with AI. From treating AI like a human collaborator to building panels of experts and defining “mental models,” this episode offers a practical and deeply strategic framework for leaders navigating what’s next. Richard also shares how his team is leveraging unique data sets to build entirely new capabilities, why most organizations are sitting on untapped data goldmines, and what it actually takes to move from experimentation to operational impact. This conversation is a masterclass in slowing down to move faster—reframing AI from a speed tool into a strategic advantage that compounds across your business.   In this episode, they explore: Why most companies don’t have an AI problem—they have a data problemHow treating AI like a coworker changes the quality of your resultsThe concept of “toddler syndrome” and why AI can feel both brilliant and unpredictableWhy prompting is less important than problem clarity and structured thinkingHow to use AI to write better prompts than you ever could yourselfThe power of “mental models” and how they shape AI behavior and outputsWhy planning upfront eliminates endless iteration and reworkHow different AI models vary in strengths (and how to use them together)The concept of building a “panel of experts” to solve complex problemsWhy unique data—not AI access—is the true competitive advantageHow companies are sitting on untapped data that can unlock new products and revenue streamsThe importance of enriching and structuring data before applying AIWhy adoption is a leadership problem—and how to drive it inside your organizationHow AI is shifting roles from execution to orchestration and strategic thinkingWhat the future of leadership looks like when managing both human and AI teams  Important Links: https://app.technologymatch.com/solutions/quik-api

    1h 4m

  7. Apr 13

    Telecom Is Quietly Draining Your IT Budget. Here’s How to Fix It with Socium IT’s Stephen Hancock

    If telecom sits underneath everything in your business but rarely gets attention, this episode pulls back the curtain on why that invisibility is exactly where cost, inefficiency, and risk quietly accumulate. In this conversation, Tonya sits down with Stephen Hancock, founder and president of Socium IT, to unpack why telecom is one of the most overlooked (and under-optimized) layers inside IT. They explore how unmanaged vendor ecosystems, lack of visibility, and outdated documentation create compounding inefficiencies and why most organizations don’t realize the scale of the problem until they audit it.  Stephen shares how telecom has quietly evolved into a utility—critical, but often ignored—and why treating it that way without operational discipline leads to wasted spend, lost time, and missed strategic opportunities. From invoice complexity to contract sprawl, this conversation reframes telecom as a lever for both cost recovery and organizational leverage.  He also breaks down how AI is reshaping vendor evaluation and telecom management, where it creates leverage (and where it creates risk), and why the future of IT leadership requires both financial clarity and operational ownership across the full lifecycle. This episode offers a practical lens on how to reclaim control, reduce noise, and redirect resources toward higher-value initiatives like AI, security, and innovation.    In this episode, they explore: Why telecom is one of the least visible, but most impactful, layers in IT How small operational tasks quietly compound into major time and cost drains Where organizations lose the most money (and time) in telecom management The hidden risks of invoice complexity, billing errors, and contract auto-renewals Why lack of inventory and documentation creates ongoing inefficiency How telecom overspend often happens without anyone noticing The concept of telecom as a “utility” and what that means for IT strategy How AI is changing vendor evaluation and where it can create overconfidence Why advisory alone is no longer enough without execution and lifecycle ownership The disconnect between tools, data, and true operational accountability How IT leaders can align more effectively with CFOs using financial clarity The importance of establishing a clean baseline before making technology decisions Where leaders should reinvest reclaimed time and budget (AI, security, innovation) The single highest-leverage step IT leaders can take right now: building inventory visibility  Important Links: https://app.technologymatch.com/solutions/telecom-contract-negotiation-rate-benchmarking https://app.technologymatch.com/solutions/telecom-cost-optimization-for-multi-location-enterprises https://app.technologymatch.com/solutions/telecom-expense-management-1

    41 min

  8. Apr 6

    Your AI Strategy Is Already a Cyber Risk with Scott Alldridge

    If last week’s conversation challenged the way you think about cybersecurity discipline, this episode pushes that conversation into even more urgent territory: AI. In this continuation, Tonya sits down again with Scott Alldridge to unpack what happens when innovation outpaces governance. As organizations rapidly adopt AI tools—often without oversight—new risks emerge beneath the surface. From hidden data exposure to autonomous systems interacting in unpredictable ways, Scott reframes AI not as a technology problem, but as a leadership, governance, and operational discipline challenge.  This conversation goes beyond hype and into reality—where AI expands attack surfaces, complicates compliance, and demands stronger foundational controls than ever before. If last episode was about discipline, this one is about velocity—and the cost of moving too fast without guardrails.   In this episode, they explore: Why rapid AI adoption is expanding organizational risk faster than governance can keep up The hidden dangers of “AI sprawl” and why most companies don’t know how many tools they’re actually using Why AI increases your attack surface and introduces new, harder-to-detect vulnerabilities The difference between generative AI and agentic AI—and why autonomous systems raise the stakes How AI tools can unintentionally leak confidential data or create compliance violations Why governance, not tools, is the foundation of safe and effective AI adoption The biggest blind spot in AI strategy: unclear ownership of risk across IT, business, and compliance Why human oversight is still non-negotiable—even with advanced AI-driven security platforms How foundational IT disciplines (like change, configuration, and integrity management) remain your strongest defense The growing gap between AI innovation and regulatory clarity—and why organizations are still fully accountable The role of third-party AI vendors in introducing unseen risk into your environment The first critical steps leaders must take to regain control: inventory, pause, and reintroduce AI with governance Why the next wave of major breaches and lawsuits will likely stem from unmanaged AI usage  Important Links: https://app.technologymatch.com/solutions/ai-governance-risk-management https://app.technologymatch.com/solutions/ai-security-posture A complimentary e-copy of his Amazon Best Seller VisibleOps Cybersecurity. Text your email address with the words “secure 2026” to 541-359-1269 OR go to https://scottalldridge.com/ and fill out the contact form, noting “secure 2026." Up to three no-cost Level One penetration tests/scans (for qualified organizations - $2,500 to $10,000 in value) Text your email address with the words “pen test” to 541-359-1269

    41 min
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5
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About

Between Fires and Futures is the podcast for modern tech leaders caught in the constant tension of today and tomorrow. It’s the space between daily firefights—cloud issues, AI hype, security breaches—and the visionary work of building scalable, resilient, future-ready organizations. Each week, we talk with the strategists, technologists, and innovators doing the real work of leading change. These are unfiltered conversations that expose the tradeoffs, wins, and lessons no one puts in the case studies. No spin. No fluff. Just pressure-tested leadership, real-world insight, and bold thinking. https://www.technologymatch.com/ 

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