AI-Native Leaders

AI isn't failing because of the technology—it's failing because companies are deploying it in the wrong order.In this episode of AI-Native Leaders, Wesley Pullen, Chief Technology Officer of Global Field Operations & Autonomous Engineering at Ascendion, joins Ben Fanning to explain why organizations are rushing to give employees AI tools before building the governance, benchmarking, cost models, and operating systems needed to use them successfully.Wes introduces his "mise en place" framework for AI adoption, showing why preparation—not prompt engineering—is the real competitive advantage. He explains why leaders should stop treating AI as a collection of tools and start treating it as an enterprise operating model that governs cost, security, agent performance, and business outcomes.He also shares why AI budgets spiral out of control, how developers often become the "villains" for leadership mistakes, why every employee has a role in AI governance, and the practical questions every executive should ask before approving another AI initiative.If AI tools are becoming increasingly accessible, what creates lasting competitive advantage?Building the operating model that allows your organization to scale AI safely, efficiently, and profitably.In This EpisodeWhy most companies deploy AI in the wrong orderThe "mise en place" framework for enterprise AI successHow AI budgets explode without governance and benchmarkingWhy AI operating models matter more than choosing the latest modelThe hidden risks of poor AI guardrails and data leakageWhy every employee—not just IT—owns AI governanceThe one metric every executive should monitor as AI adoption scalesHow to pause, assess, and recover AI projects already underwayThe questions CEOs should ask before spending another AI dollarMemorable Quotes"They give people the tools. They don't have the governance, the cost optimization, the cost model, the benchmarking... They don't have what I'm calling mise en place.""We make people who are victims, villains.""It's never too late to sit down, do an assessment, and ask these very same questions.""Everyone in the company... is ultimately responsible."Chapters00:00 The AI Mistake Almost Every Company Makes01:46 Why AI Needs "Mise en Place"03:48 The Missing Step Behind Failed AI Projects08:35 The Expensive AI Modernization Lesson10:52 Early Warning Signs AI Costs Are Spiraling14:56 The First Questions Every Leader Should Ask18:11 How to Recover AI Projects Already Underway19:57 Who Really Owns AI Governance?21:58 When AI Spending Suddenly Explodes24:38 The One AI Metric Every Executive Should Track26:54 The AI "Substation" Model Explained30:40 Guardrails That Protect Your Business33:30 The Biggest AI Risks Leaders Underestimate37:21 Before Spending Your First AI Dollar39:55 Advice Every CEO Needs to HearAI-Native Leaders explores how the next generation of companies won't simply use AI—they'll be built around it.Join host Ben Fanning for conversations with the executives, innovators, and operators shaping the future of business through artificial intelligence.This episode is brought to you by Ascendion, AI-Native Software Engineering Services.#AI #ArtificialIntelligence #Leadership #ExecutiveLeadership #AINative #DigitalTransformation #BusinessStrategy #EnterpriseAI #AIGovernance #CTO #CIO #Ascendion

AI is no longer just a productivity tool—it's redefining how organizations create value.In this episode of AI-Native Leaders, Rohini Christina Williams, Senior Vice President and Global Head of Strategic Growth for Private Equity and Restructuring at Ascendion, joins Ben Fanning to explain why the companies creating the most value with AI aren't waiting for perfect data or buying more AI tools. They're rewiring their operating models to move faster than the competition.Rohini shares why private equity-backed companies have a unique advantage in the AI race, how engineering velocity is becoming a driver of revenue growth and EBITDA expansion, and why leaders should stop treating AI as a technology initiative and start treating it as a business transformation.She also explains why organizations should focus on one high-impact workflow, prove value quickly, and scale from there—instead of waiting years for perfect infrastructure or enterprise-wide data readiness.If AI is becoming abundant, what creates lasting competitive advantage?The speed at which leaders can redesign how their organizations operate.In This EpisodeWhy AI is becoming an operating model shift—not just a technology upgradeWhy private equity firms have an advantage in the AI raceHow engineering velocity can accelerate revenue growth and EBITDA expansionWhy companies should stop waiting for perfect data before deploying AIThe case for starting with one high-impact workflow and scaling from thereHow technical debt creates customer experience debt—and how AI helps eliminate bothWhy AI readiness isn't nearly as valuable as scalable AI executionHow AI-native operating models increase enterprise value and company multiplesWhat separates organizations that will compound their advantage from those that fall behindMemorable Quotes"This is fundamentally an operating model shift, not a tool adoption.""People don't pay for AI tools or AI readiness. They pay for something which can be industrialized, durable and scalable.""If you start cleansing your whole data in the entire organization, it will be too late.""Once an organization rewires its operating model for AI, its success will just compound."Chapters00:00 Why Companies Waiting for Perfect Data Will Fall Behind02:14 Why Private Equity Has an AI Advantage04:29 How AI Modernization Drives Revenue and EBITDA06:00 Why AI Readiness Isn't What Buyers Pay For08:43 Engineering Velocity: The Fastest Path to AI ROI11:50 The Three Business Metrics Every AI Initiative Must Impact14:44 Stop Waiting for Perfect Infrastructure15:13 Why One Workflow Beats Enterprise-Wide Data Cleanup18:41 Which Industries Will Win the AI Race?23:45 Why Governance Matters as AI Scales25:45 The Companies That Will Compound Their AI Advantage27:42 The First AI Move Every Executive Should MakeAI-Native Leaders explores how the next generation of companies won't simply use AI—they'll be built around it.Join host Ben Fanning for conversations with the executives, innovators, and operators shaping the future of business through artificial intelligence.This episode is brought to you by Ascendion, AI-Native Software Engineering Services.#AI #ArtificialIntelligence #Leadership #ExecutiveLeadership #AINative #DigitalTransformation #BusinessStrategy #FutureOfWork #PrivateEquity #Innovation #AILeadership #Ascendion

AI is moving faster than any technology shift in modern history.But according to Radha Rajagopalan, Chief Delivery and Technology Officer at Ascendion, the companies winning with AI aren't treating it as an experimental initiative—they're treating it as an operational mandate. In this episode of AI-Native Leaders, Radha shares why AI is forcing leaders to rethink how organizations deploy, govern, and scale engineering workflows.He explains why consistency has become a true competitive advantage, why human accountability is the most critical asset of the next decade, and what separates truly AI-native execution from those simply caught in the proof-of-concept trap.If intelligence is becoming abundant, what becomes more valuable? Human governance.In This EpisodeWhy enterprise proof of concepts fail when exposed to thousands of usersWhy "consistency is the new oil" in the automated economyHow leaders can cleanse 100 years of legacy "noisy data" without slowing downWhy AI transformation must be governed by leadership—not left uncheckedWhat AI can never replace in great human operatorsWhy prompt engineering is becoming a critical executive communication skillHow AI-native organizations utilize platforms like AVA to enforce guardrailsThe absolute importance of keeping humans "at the wheel" of validationWhat executives need to do now to prevent operational disasterMemorable Quotes"There is no bolt-on with AI.""Establishing a very strong data foundation becomes an important aspect for any enterprise.""When AI output compounds at scale, governance cannot be an afterthought.""If an unchecked system begins learning from bad patterns, the consequence is simple: absolute disaster."Chapters00:00 Why Enterprise AI Projects Fail at Scale01:54 Beyond Chatbots: What AI Is Actually Doing Inside the Enterprise03:14 The Software Development Lifecycle Shift05:06 The Proof-of-Concept Trap: Why Controlled Labs Lie08:54 Generative AI vs. Agentic AI Frameworks Explained11:21 Taming 100 Years of Legacy "Noisy Data"14:52 Understanding Data Lifecycle Management & Platforms Like AVA20:10 What Decisions Humans Must Own vs. What to Offload22:56 What Happens When Executives Don't Check AI Output?24:50 AI First vs. AI Native: Rewriting Your Team's DNA31:17 The Ultimate Question for Governance: Who Owns the Decision?37:48 Meet the "Agentic Delivery Manager"40:59 3 to 5 Year Crystal Ball: Who Survives the AI Disruption?44:49 How Radha Uses AI to Keep His Personal Desktop SpotlessAI-Native Leaders explores how the next generation of companies won't simply use AI—they'll be built around it.Join host Ben Fanning for conversations with the executives, innovators, and operators shaping the future of business through artificial intelligence.This episode is brought you by Ascendion, AI-Native Software Engineering Services.#AI #ArtificialIntelligence #Leadership #ExecutiveLeadership #AINative #DigitalTransformation #FutureOfWork #BusinessStrategy #Innovation #AILeadership #Ascendion #RadhakrishnanRajagopalan

AI is moving faster than any technology shift in modern history.But according to Paul Roehrig, Chief Strategy & Marketing Officer at Ascendion, the companies winning with AI aren't treating it as a technology initiative—they're treating it as a leadership mandate.In this episode of AI-Native Leaders, Paul shares why AI is forcing leaders to rethink how organizations operate, innovate, and compete. He explains why velocity has become a competitive advantage, why curiosity may be the most important leadership skill of the next decade, and what separates truly AI-native companies from those simply experimenting with AI tools.If intelligence is becoming abundant, what becomes more valuable?Leadership.In This EpisodeWhy AI adoption is happening faster than any previous innovation waveWhy "velocity is the new oil" in the AI economyHow leaders can improve workflows without disrupting everything at onceWhy AI transformation must be owned by leadership—not just ITWhat AI can never replace in great leadersWhy curiosity is becoming a critical executive skillHow AI-native organizations help employees navigate changeThe importance of keeping humans "at the wheel"What executives need to do now to prepare for the future of workMemorable Quotes"Velocity is the new real oil.""The companies that are beginning to succeed with AI are making it more of a leadership issue.""We're the last generation of leaders that are going to learn AI on the job.""Humans need to stay at the wheel."Chapters00:00 Why AI Is Different This Time02:05 Intelligence Becomes Abundant03:22 Why AI Adoption Is Moving Faster Than Any Technology in History04:05 Velocity Is the New Oil04:53 Where Leaders Should Start with AI06:38 Why AI Is a Leadership Problem, Not an IT Problem08:24 What AI Can Never Replace in Great Leaders10:10 The Most Important Leadership Skill in the AI Era11:56 Helping Employees Navigate AI Change14:20 The Human Side of AI Transformation15:12 How Ascendion Became AI-Native16:46 Will AI Help or Hurt Society?18:07 Final ThoughtsAI-Native Leaders explores how the next generation of companies won't simply use AI—they'll be built around it.Join host Ben Fanning for conversations with the executives, innovators, and operators shaping the future of business through artificial intelligence.This episode is brought you by Ascendion, AI-Native Software Engineering Services.#AI #ArtificialIntelligence #Leadership #ExecutiveLeadership #AINative #DigitalTransformation #FutureOfWork #BusinessStrategy #Innovation #AILeadership #Ascendion #PaulRoehrig