Alt-Consulting (AI Adoption Conversations)

AI Governance: The Hidden Risks of AI Agents and Shadow AI | John Willis | S1E14

In this episode of Alt Consulting: AI Adoption Conversations, Utsav Bhatt speaks with John Willis, DevOps pioneer, co-author of The DevOps Handbook, and author of Rebels of Reason, about why AI adoption is not fundamentally a technology problem, but an organizational transformation challenge. The conversation explores why many companies are investing heavily in AI transformation initiatives, copilots, AI agents, task forces, councils, and token-usage dashboards, yet still failing to achieve meaningful productivity gains or operational change. John argues that AI is not creating organizational dysfunction. It is exposing the weaknesses that already existed inside the enterprise. A major theme is the difference between AI experimentation and enterprise AI adoption. John explains that prototypes are learning artifacts, while production systems are liability artifacts. Many organizations are deploying AI pilots into real workflows without addressing governance, operating model redesign, risk management, data quality, authority structures, or AI change management. The discussion also critiques the obsession with token economics and AI activity metrics. John compares today’s AI token leaderboards to the outdated software engineering metric of counting lines of code. More AI usage does not automatically create business value. The real question is whether AI adoption is improving decision-making, productivity, customer outcomes, or operational leverage. Another important topic is shadow AI and agent sprawl across enterprises. Just as cloud computing created shadow IT, AI is now creating uncontrolled proliferation of AI tools, workflows, and autonomous agents. In regulated industries and large enterprises, this creates serious concerns around AI governance, data security, permissions, accountability, and organizational risk. John shares examples of AI-related failures caused by weak architecture, poor governance, excessive permissions, and badly designed systems. His point is clear: AI accelerates whatever systems and behaviors already exist inside the organization, whether strong or weak. The conversation then shifts toward leadership and organizational readiness. For CEOs, CIOs, Chief Strategy Officers, transformation leaders, and AI adoption advisors, John argues that the starting point is not simply deploying more AI tools. Organizations must rethink talent strategy, governance models, innovation systems, and how work actually gets done. An AI strategy without a talent and operating model strategy is incomplete. Utsav and John also discuss the future of consulting in the AI era. Both argue that organizations may not need large consulting teams focused only on AI strategy decks. Instead, companies increasingly need trusted advisors who can diagnose organizational friction, redesign workflows, guide AI adoption, and help leaders navigate organizational change during AI transformation. The episode closes with a powerful insight: the companies that succeed with AI will not necessarily be the ones with the most AI tools, pilots, tokens, or agents. They will be the organizations willing to rethink how they operate, govern, learn, and change in the age of AI. #AIAdoption #AITransformation #AIConsulting #AIChangeManagement #OrganizationalTransformation #EnterpriseAI #AIGovernance #AIProductivity #FutureOfConsulting #AIAdoptionAdvisors

AI Adoption for SMBs: Automate Workflows & Drive Results | Marvin Martinez | S1E13

Most companies think AI adoption starts with tools, chatbots, or agents. But real AI transformation starts somewhere much simpler: understanding how work actually gets done. In this episode of Alt-Consulting: AI Adoption Conversations, Utsav speaks with Marvin Martinez, Founder and CEO of Bansor AI, about how small and mid-sized businesses can use AI and automation to eliminate manual work, reduce operational friction, and improve AI productivity. Marvin shares practical examples of AI implementation across back-office workflows, logistics operations, lead generation, CRM updates, recruitment processes, and sales automation. The conversation shows why successful AI adoption is not just a technology problem. It is also a workflow design, consulting, AI change management, and organizational transformation challenge. We discuss: 00:00 Introduction 01:26 Why SMBs are ideal for AI adoption 02:44 Automating back-office workflows 07:07 Why process clarity matters before AI implementation 08:29 AI-powered lead generation and CRM automation 15:12 Customizing automation for sales teams 19:32 Reducing errors in recruitment and onboarding workflows 24:42 AI change management and employee involvement 26:05 Final thoughts on AI adoption and transformation Key takeaway: Don’t start with the AI tool. Start with the workflow. AI adoption works when organizations redesign processes, involve employees early, and use automation to free people for higher-value work. If you are a business leader, founder, operator, consultant, or transformation leader working on AI adoption, AI transformation, AI productivity, or organizational change, this conversation offers a practical view of what actually works. Subscribe to Alt-Consulting: AI Adoption Conversations for more discussions with AI adoption advisors, consultants, founders, and transformation leaders on how AI is changing work, consulting, and organizational transformation. #AIAdoption #AITransformation #AIProductivity #AIChangeManagement #Consulting #OrganizationalTransformation #BusinessAutomation #AIAdoptionAdvisors #WorkflowAutomation #AltConsulting

AI Adoption Needs Culture First: Why Technology Fails Without Behavior Change | Jamey Lutz | S1E12

This episode explores AI adoption, AI transformation, and why AI is not delivering results in many organizations. A key insight: AI adoption is not a technology problem, it is a behavior and culture problem. Using lessons from Ritz-Carlton’s service excellence, this conversation breaks down how organizations can drive behavioral change for AI, build a strong execution culture, and move from AI pilots to real results. ---------------------------------------- The conversation dives into what it actually takes to drive organizational change for AI. It explores the role of leadership in shaping behavior, how culture is operationalized through hiring and corrective mechanisms, and why most AI initiatives fail without a shift in how people work. Through the Ritz-Carlton example, the discussion highlights how service culture is designed, implemented, and sustained at scale, and what AI-driven organizations can learn from it. It also examines how companies can start the journey of AI transformation, drive customer-centric change, and sustain innovation over time. If you are working on enterprise AI adoption, scaling AI beyond pilots, or trying to make AI deliver measurable business results, this episode offers a practical lens on what actually works. ---------------------------------------- TAKEAWAYS * AI adoption is a behavior change problem, not a technology problem * Leadership plays a critical role in driving organizational change for AI * Culture systems determine whether AI transformation delivers results * Service excellence principles can accelerate AI adoption at scale ---------------------------------------- CHAPTERS 00:00 AI Adoption and the Challenge of Behavior Change 05:58 Service Culture and AI Transformation: Ritz-Carlton Example 10:59 Starting Organizational Change for AI 19:52 Sustaining AI Transformation and Innovation 24:52 Behavioral Change for AI Adoption 30:58 Scaling AI Adoption Across Organizations

A New Flavor: From Conversations to Insights | Utsav A Bhatt | S1E11

The conversation delves into the fundamental shift in consulting due to the impact of AI, leading to the emergence of Alt Consulting and the need to rethink work with AI. It explores the challenges and opportunities presented by this shift, providing insights into the future of consulting and work itself. Takeaways * Behavior change is the key challenge in adopting artificial intelligence * The shift in consulting is a preview of how work itself is going to change

AI Transformation: The Rise of the Fractional Chief AI Officer | John Sukup | E1S10

This episode explores AI adoption, AI transformation, and the rise of the Fractional Chief AI Officer as organizations struggle to turn AI investments into real results. As many companies face the challenge of AI not delivering results, the need for leadership that can bridge strategy, execution, and organizational change has never been greater. The conversation breaks down when and why companies need a Chief AI Officer, and how the role is evolving from a niche leadership position to a critical driver of enterprise AI adoption. It examines the emergence of the Fractional Chief AI Officer model, especially for organizations that need senior AI leadership without committing to a full-time role. The discussion also explores the role of CIOs in AI adoption, how responsibilities are shifting across leadership teams, and what it takes to drive AI transformation at scale. A structured, three-phased approach is outlined, along with a real-world case study, showing how organizations can move from fragmented AI initiatives to a more integrated and outcome-driven model. The episode further examines whether the Chief AI Officer is a transitionary role or a long-term capability, and what CEOs need to consider when building leadership for AI. If you are leading AI strategy, working in AI consulting, or trying to scale AI beyond pilots, this conversation provides a practical view of how leadership drives results. CHAPTERS 00:00 AI Adoption and the Rise of the Chief AI Officer 07:38 When Do You Need a Chief AI Officer? 16:10 AI Transformation Framework: A Three-Phased Approach 24:55 Fractional vs Full-Time Chief AI Officer