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Published by Utsav A Bhatt | AI Adoption Advisor
Hosted by Utsav A Bhatt, Alt-Consulting explores how AI adoption is reshaping both the consulting future and how companies drive real business results through AI transformation . Across industries such as banking, retail, and professional services, organizations are investing heavily in AI. Yet, in many cases, AI is not delivering results . Productivity gains remain limited, revenue impact is unclear, and most initiatives struggle to move beyond pilots. This podcast unpacks why AI adoption fails to scale , what blocks AI implementation , and what it actually takes to make AI adoption happen in real organizations. Through focused monologues and conversations with operators, founders, and industry insiders, the series examines AI transformation from two distinct but connected lenses. First, how AI adoption is redefining AI consulting , challenging traditional advisory models, and shaping the future of consulting toward more outcome-driven, execution-focused approaches. Second, how organizational change for AI and behavioral change for AI are critical to unlocking AI-driven productivity improvement and AI-led revenue growth inside companies. The podcast goes beyond tools, use cases, and surface-level AI trends. It focuses on the deeper questions: how work needs to be redesigned for AI, how operating models must evolve, how decision-making and incentives shift, and how companies move from experimentation to enterprise AI adoption at scale . It also explores why employees are not resisting AI, but often protecting how they have learned to succeed, and what that means for AI change management strategy . Along the way, Alt-Consulting highlights real-world examples of AI consulting in practice , AI transformation strategy , and how leading organizations are bridging the gap between AI ambition and business impact. It addresses common challenges such as AI not scaling beyond pilots , lack of AI ROI , and misalignment between technology investments and organizational readiness. This is not about hype. It is about outcomes. It is about how to move from AI pilots to real results , how to embed AI into everyday workflows, and how to ensure that AI adoption translates into measurable business value. If you are leading AI initiatives, shaping AI strategy , advising clients on AI transformation , or rethinking the role of consulting in an AI-driven world, this podcast offers a clear, practitioner-led perspective on what actually works and what needs to change.
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AI Is Rewriting Lead Generation: What Happens When Prospecting Becomes Automated? In this episode of Alt Consulting: AI Adoption Conversations, Utsav Bhatt speaks with Toby Blatchford-Tagg, founder of UK-based B2B lead generation agency The Lead Lab, about how AI is transforming lead generation, sales outreach, and business development. Over the last two decades, lead generation has evolved from manual telemarketing and cold calling to LinkedIn automation, AI-powered outreach, and intelligent prospecting systems. Toby shares his firsthand experience of navigating this shift, including how he transformed a 40-person telemarketing operation into a modern lead generation business built around automation and scalable outreach. Key topics covered in this conversation include: • How AI is disrupting traditional lead generation and outbound sales • Why telemarketing and cold calling are becoming increasingly difficult • The rise of LinkedIn automation as a B2B lead generation channel • What a modern B2B lead generation process looks like today • How companies can use AI and automation to improve sales prospecting • Why email marketing effectiveness has declined in recent years • The role of data quality, messaging, and response management in outbound success • Real-world benchmarks for LinkedIn outreach response rates and conversion rates • The future of AI-powered calling and conversational AI agents • Lessons business leaders can learn from successfully adapting to technological disruption Toby also discusses how one client achieved a 4x improvement in performance by shifting budget from traditional email outreach to LinkedIn-based lead generation, highlighting the growing importance of testing new channels as buyer behavior evolves. Beyond lead generation tactics, this conversation explores a broader leadership lesson: successful AI adoption is not simply about deploying technology. It requires continuous experimentation, willingness to challenge existing business models, and the courage to reinvent how work gets done. If you’re a founder, sales leader, marketing executive, business owner, or anyone interested in AI adoption, B2B sales, revenue growth, and digital transformation, this episode offers practical insights into how customer acquisition is changing in the AI era. Topics: AI Adoption, Lead Generation, B2B Sales, LinkedIn Automation, AI in Sales, Sales Prospecting, Business Development, Revenue Growth, AI Transformation, Digital Marketing, Outbound Sales, Sales Automation, Customer Acquisition, AI Strategy, Organizational Transformation #AIAdoption #LeadGeneration #B2BSales #LinkedInAutomation #SalesAutomation #ArtificialIntelligence #BusinessDevelopment #RevenueGrowth #DigitalTransformation #AITransformation #SalesProspecting #CustomerAcquisition #AltConsulting #AIPodcast #FutureOfWork
In this episode of Alt Consulting: AI Adoption Conversations, Utsav Bhatt sits down with Peter McCarroll, founder of Fuel Accountants and widely known as “The AI Accountant,” to explore how AI is disrupting the accounting profession and what that means for the future of professional services. Peter shares the moment he realized AI was not just another productivity tool, but a force capable of fundamentally reshaping the accounting industry. Drawing on nearly 30 years of experience across public accounting, advisory services, software, and business coaching, he explains why many traditional accounting business models are now under pressure and why firms have far less time to adapt than most leaders realize. The conversation goes beyond technology and focuses on the real challenge of AI adoption: leadership, change management, and behavior change. Peter discusses how accounting firms are facing growing pricing pressure from AI-native competitors, automation platforms, and changing client expectations. He also explains why expertise alone is no longer a sustainable moat and how professionals must move up the value chain from compliance work toward higher-value advisory and strategic services. Key topics discussed include: • How AI is transforming accounting and other professional services industries • Why AI adoption is primarily a leadership and change management challenge • The future of accounting firms in an AI-driven world • The impact of automation on pricing, profitability, and business models • Human-in-the-loop decision making and the limits of AI today • Talent development challenges when AI replaces traditional entry-level work • Why professional judgment may not be the competitive advantage many firms believe it is • The role of behavior change in successful AI transformation • How firms can overcome resistance to change and drive meaningful AI adoption • Why the cost of doing nothing may be greater than the risks of embracing AI One of the most powerful insights from the discussion is Peter’s belief that leaders must first reimagine what their business looks like after AI disruption and then work backwards to redesign their organizations accordingly. Waiting for certainty may be the riskiest strategy of all. If you are interested in AI adoption, AI transformation, change management, professional services disruption, the future of accounting, consulting, or leadership in the age of AI, this conversation offers practical insights and real-world perspectives from someone actively helping firms navigate this transition. #AIAdoption #AITransformation #AIAdoptionAdvisors #ChangeManagement #BehaviorChange #Accounting #FutureOfWork #ProfessionalServices #Consulting #ArtificialIntelligence #DigitalTransformation #Leadership #BusinessTransformation #AccountingFirm #Innovation
Most companies think AI will make their sales teams more productive. But what if the real opportunity is not incremental productivity gains, but a complete redesign of how revenue is generated, supported, and scaled? In this episode of Alt Consulting: AI Adoption Conversations, Utsav Bhatt speaks with Sreedhar Peddineni, CEO and Co-founder of GTM Buddy, and one of the few entrepreneurs who has repeatedly helped create entirely new software categories. After helping build Gainsight into a billion-dollar-plus business and pioneering the Customer Success category, Sreedhar is now focused on what he calls Revenue Activation. This conversation explores one of the biggest challenges facing organizations today: AI adoption. While companies are investing heavily in AI tools, AI implementation programs, training initiatives, and AI transformation efforts, many struggle to translate those investments into measurable business outcomes. For leaders, AI adoption is increasingly becoming a change management and organizational transformation challenge rather than a technology challenge alone. Sreedhar explains why traditional sales enablement is evolving into Revenue Activation and why the future of AI consulting is not about giving every employee access to ChatGPT or Claude. Instead, AI must be embedded directly into the flow of work, automatically synthesizing information from CRM systems, emails, call transcripts, buyer personas, sales methodologies, content libraries, and external research to improve decision-making and AI-powered execution. The discussion covers: • Why traditional sales enablement is evolving into Revenue Activation • How AI can improve discovery calls, deal qualification, follow-ups, and sales execution • Why prompting is rapidly becoming less important than AI-powered skills and workflows • The limitations of chat-based interfaces in enterprise environments • How leading organizations are embedding intelligence directly into employee workflows • The structural, cultural, and change management barriers that slow AI adoption • Why board-level AI transformation initiatives often fail to translate into meaningful business impact • The risks of uncontrolled AI experimentation and tool proliferation • How AI strategy, AI implementation, and organizational design must work together • What CEOs, CROs, and revenue leaders should prioritize when building AI-native organizations For leaders working on AI adoption, AI transformation, AI productivity, enterprise AI implementation, and organizational change management, this conversation offers practical insights into how AI can move beyond experimentation and become a core driver of revenue growth and business performance. Whether you are a CEO, CRO, sales leader, founder, revenue operations professional, AI consultant, AI adoption advisor, or change management leader, this episode provides a practical framework for thinking about the future of revenue organizations in the age of AI. #AIAdoption #AIAdoptionAdvisors #AIConsulting #AITransformation #AIChangeManagement #EnterpriseAI #AIImplementation #AIProductivity #OrganizationalTransformation #RevenueActivation #SalesEnablement #RevenueOperations #GTM #SalesLeadership #CustomerSuccess #BusinessTransformation #ArtificialIntelligence
In this episode of Alt Consulting: AI Adoption Conversations, Utsav Bhatt speaks with Nikki Barua about why AI adoption is not fundamentally a technology problem, but a leadership, behavior change, and organizational transformation challenge. Drawing from more than 25 years of experience leading transformation initiatives with organizations including Disney, Coca-Cola, and Nike, Nikki explains why so many enterprises struggle to move beyond AI pilots, copilots, workshops, and experimentation into real business impact. The conversation explores one of the biggest questions facing organizations today: why is enterprise AI adoption still failing to translate into meaningful productivity gains, operating model change, and organizational transformation? Nikki argues that successful AI transformation is never driven by technology alone. The organizations that succeed are the ones willing to rethink leadership behaviors, incentives, talent models, decision-making structures, and the way work itself gets done. Key themes discussed in the episode include: • Why behavior change matters more than AI tools • The three factors that separate organizations that transform from those that stagnate • Why large enterprises often resist disruption despite having talented people and massive resources • How legacy operating models and organizational incentives slow down AI adoption • Why AI transformation is fundamentally different from previous digital transformation waves • How AI challenges identity, expertise, and leadership confidence itself • Why identity shift is harder than skill acquisition in the AI era • How leaders can evolve from operators into orchestrators in AI-native organizations • The rise of AI agents and how humanizing AI changes collaboration between humans and technology • Why most companies focus only on efficiency instead of reimagining business models with AI • The leadership courage required to disrupt your own organization before competitors do • Why experienced leaders and Gen X executives may become major accelerators of AI adoption • How contextual wisdom, judgment, and pattern recognition become strategic advantages in an AI-native world The discussion also dives into the future of consulting and professional services in the AI era. Utsav and Nikki explore how AI-native consulting firms, productized consulting, solopreneur models, expert networks, and agentic operating systems are reshaping the consulting industry itself. A major insight from the episode is that AI will not simply automate work. It will fundamentally redefine leadership, expertise, organizational identity, and the structure of professional services. This is not just a conversation about AI tools or AI implementation. It is a discussion about the future of leadership, enterprise transformation, consulting, workforce reinvention, and organizational change in the age of AI. If you are a CEO, CIO, CHRO, transformation leader, consultant, innovation executive, or anyone responsible for driving AI adoption and organizational transformation, this episode offers a practical and deeply human perspective on what it truly takes to create business value with AI. Topics covered: AI Adoption | AI Transformation | Organizational Transformation | Leadership Change | AI Change Management | Enterprise AI | AI Agents | Future of Consulting | Productized Consulting | Workforce Reinvention | Digital Transformation | Executive Leadership | Change Management | Agentic Organizations | AI Productivity | Future of Work
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
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
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
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
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
This episode explores AI adoption , AI transformation , and how they are reshaping the consulting future . As AI continues to evolve, it is not just changing tools and workflows, but fundamentally redefining how consulting delivers value and how organizations drive results. The conversation examines how technological disruption and global economic shifts are accelerating the need for enterprise AI adoption , and why traditional consulting models are struggling to keep up. A key theme is the integration of AI at the source , where AI is embedded directly into how work is done, rather than layered on top of existing processes. It explores how this shift is redefining AI consulting , changing the role of advisors from delivering recommendations to enabling execution and outcomes. The discussion also highlights why many organizations are investing in AI but still facing the challenge of AI not delivering results , and what this means for the future of advisory work. The episode further dives into the challenges faced by traditional consulting firms, the emergence of new consulting models, and the biggest hurdles for up-and-coming firms trying to operate in an AI-driven world. If you are involved in AI transformation , rethinking your consulting strategy , or exploring how AI adoption is changing the role of consulting, this conversation provides a clear, forward-looking perspective. Takeaways AI adoption is reshaping the consulting future and redefining how value is delivered Embedding AI at the source is critical for AI transformation at scale Traditional consulting models are challenged by the shift toward AI-driven execution The gap between AI investment and outcomes highlights why AI is not delivering results in many organizations
This episode explores AI adoption , AI transformation , and how organizations can move from strategy to execution in a world where AI is not delivering results for many companies. In conversation with Siddharth Bohra, Founder of Trmeric, the discussion dives into how enterprises are rethinking AI consulting , AI strategy , and the role of technology leadership in driving real outcomes. A central theme is the gap between strategy and execution, and how most organizations struggle to translate ideas from presentations into tangible business impact. Siddharth introduces the concept of an AI-native operating system for enterprise transformation , designed to bridge this gap. The conversation explores how embedding AI directly into workflows, decision-making, and execution processes can accelerate enterprise AI adoption and eliminate inefficiencies that slow down transformation. The episode also examines the rise of “ strategy as a product ” and how AI is reshaping the consulting future , moving from slide-based recommendations to system-driven execution. It highlights how AI consulting models are evolving , and why the bar for value creation in consulting is rising rapidly. A key focus is on the real blockers to AI adoption. From organizational readiness to ownership challenges, the discussion unpacks why AI adoption challenges persist and what it takes to overcome them. It also explores how leaders can drive organizational change for AI and behavioral change for AI , ensuring that technology investments translate into productivity improvement and revenue growth. The conversation further covers: How AI can reduce wasted time and improve decision-making quality Why embedding AI into workflows is more powerful than layering it on top The evolving role of CIOs and technology leaders in AI transformation How teams can use AI to operate with greater purpose and business alignment For builders, the episode offers practical insights on creating AI-native products, including the importance of solving real customer problems, applying systems thinking, and building integrated solutions rather than standalone AI features. If you are working on AI adoption , leading AI transformation , building AI products, or rethinking the role of consulting in an AI-driven world, this episode provides a clear, practitioner-led perspective on what actually works and how to make AI deliver real results. Chapters 00:00 AI Adoption and the Strategy-to-Execution Gap 04:15 AI Transformation and the Rise of AI-Native Systems 10:30 AI Adoption Challenges and Organizational Readiness 18:30 Embedding AI into Workflows and Decision-Making 23:20 Building AI Products: Systems Thinking and Real Use Cases 30:20 AI Consulting and the Future of Strategy Execution
This episode explores AI adoption , AI consulting , and how AI transformation is reshaping the consulting industry from a people-driven model to a software-driven one. In conversation with Alibek Dostiyarov, Co-founder and CEO of Perceptis AI, the discussion dives into the rise of “strategy as a product” and how AI-first platforms are enabling consulting firms to scale without proportionally increasing headcount. As organizations continue to invest in AI but face the challenge of AI not delivering results , new models are emerging that embed AI directly into consulting workflows. A key theme is how traditional consulting, which historically scaled through people, is now beginning to scale through software. The episode examines how AI consulting is evolving , and why firms need to rethink how proposals, knowledge work, and client delivery are executed in an AI-driven world. The conversation also explores how AI adoption challenges are being addressed through purpose-built tools like Perceptis, which act as an AI-native operating system for consulting firms . Instead of relying on generic tools, these systems embed AI into workflows such as proposal creation, slide building, and knowledge reuse, enabling faster and more consistent delivery. Key topics covered include: How AI adoption is transforming consulting workflows and delivery models Why generic AI tools often fail in consulting due to trust and hallucination risks How AI can reduce manual work and improve productivity in consulting teams The role of proprietary data and firm-specific knowledge in differentiating AI outputs How boutique consulting firms can compete with larger firms using AI The episode also highlights broader shifts in the consulting future , including the rise of boutique firms, fractional talent models, and AI-enabled specialists who can deliver more value with smaller teams. For builders, there are practical insights on creating AI-native products, including the importance of solving real customer problems, ensuring data security, and applying systems thinking to build integrated solutions rather than standalone tools. If you are working on AI adoption , leading AI transformation , building AI products, or rethinking the role of consulting in an AI-driven world, this episode provides a clear, practitioner-led perspective on how AI is changing both how consulting works and how organizations drive results. Chapters 00:00 AI Adoption and the Shift from People to Software 05:43 AI Consulting and the Rise of Strategy as a Product 11:00 AI Adoption Challenges: Trust, Data, and Differentiation 18:49 AI Operating Systems for Consulting Firms 22:27 Scaling AI Adoption in Consulting Workflows 25:28 The Future of AI Consulting and Boutique Firms
This episode explores AI adoption , AI transformation , and how consulting is evolving from a people-driven model to a system-driven one powered by autonomous AI. In conversation with Jan Beránek, Founder and CEO of FifthRow, the discussion dives into how AI consulting is being reshaped by the rise of “services as software” and consulting as a product . As organizations continue to invest in AI but face the challenge of AI not delivering results , new models are emerging that embed AI directly into strategy, research, and execution workflows. A central theme is how traditional consulting relied on teams of analysts and manual processes, while AI is now automating large parts of knowledge work. FifthRow’s approach of building an autonomous workforce using AI agents shows how organizations can move from slow, fragmented processes to always-on AI-driven systems that continuously generate insights, run analysis, and support decision-making. The conversation explores how enterprise AI adoption requires not just new tools, but a complete redesign of processes, workflows, and organizational structures. It highlights why many companies struggle with AI adoption challenges , particularly around behavior change, trust, and integrating AI into day-to-day work. Key topics covered include: How AI adoption is transforming consulting workflows and reducing reliance on manual analysis Why AI is not delivering results without process redesign and organizational change The rise of AI consulting platforms and autonomous AI agents How AI can move consulting from project-based work to continuous, always-on insights The role of data, fact-checking, and trust in scaling AI transformation The episode also provides a behind-the-scenes view of building an AI-native company, including how FifthRow evolved through multiple iterations, adapted to rapid changes in AI capabilities, and shifted from a product platform to an outcome-driven consulting model. A key insight is that while AI can automate analysis, human judgment, trust, and accountability remain critical , especially in high-stakes decision-making environments. The future of consulting may not eliminate humans, but it will fundamentally redefine their role. For leaders, this episode offers a clear perspective on how to think about AI adoption at scale , how to redesign organizations for AI, and how to move from experimentation to real business impact. If you are working on AI adoption , leading AI transformation , exploring new models of AI consulting , or rethinking how strategy work gets done in an AI-driven world, this episode provides a practical, forward-looking view on what is changing and what comes next. Chapters 00:00 AI Adoption and the Shift from Services to Software 04:33 AI Consulting and the Rise of Autonomous Systems 08:03 AI Transformation and Redesigning Workflows 15:00 Building AI Agents and Enterprise AI Adoption 20:22 AI Adoption Challenges and Behavior Change 29:28 The Future of AI Consulting and Autonomous Organizations
This episode explores AI adoption , AI transformation , and how the very definition of a consultant is changing in an AI-driven world. In conversation with Dr. CJ Meadows, Head of Innovation and Entrepreneurship at SP Jain School of Global Management, the discussion examines how AI consulting is evolving as traditional models of hiring, training, and career progression in consulting begin to shift. As organizations increasingly face the challenge of AI not delivering results , the role of consultants is moving from doing analysis to helping clients think, frame problems, and make better decisions. A key theme is how AI adoption is reshaping consulting skills . With AI tools automating many of the tasks traditionally done by junior consultants, the focus is shifting toward higher-order capabilities such as problem framing, asking better questions, judgment, and storytelling. The episode explores how the next generation of consultants is being trained to work alongside AI, rather than compete with it. The conversation also highlights how enterprise AI adoption is changing the demand for consulting. Companies are building internal consulting capabilities, relying less on large external firms, and expecting consultants to deliver more strategic guidance rather than execution-heavy work. This shift is creating new opportunities for boutique firms, independent consultants, and AI-enabled advisory models. Key topics covered include: How AI adoption is changing the skills required in consulting Why AI is not delivering results without strong problem framing and judgment The future of consulting careers in an AI-driven world The rise of internal consulting roles within organizations How consultants can create value beyond what AI tools can deliver The episode also explores broader themes of organizational change for AI and behavioral change for AI , particularly how individuals and teams must adapt to new ways of working. It highlights why many organizations struggle not because of technology, but because they have not redesigned how work gets done. A powerful insight from the discussion is that while AI can automate analysis, it cannot replace human creativity, lateral thinking, and the ability to connect ideas across domains. The future of consulting will not eliminate humans, but will require them to operate at a higher level of thinking and impact. For students, professionals, and aspiring consultants, this episode provides practical guidance on how to stay relevant in the age of AI, what skills to build, and how to navigate the changing consulting landscape. If you are working on AI adoption , leading AI transformation , exploring careers in AI consulting , or rethinking how consulting delivers value in an AI-driven world, this episode offers a clear, practitioner-led perspective on what is changing and what comes next. Chapters 00:00 AI Adoption and the Changing Role of Consultants 02:00 AI Transformation and New Consulting Skills 04:05 The Future of Consulting Careers in the AI Era 06:30 AI Consulting vs Traditional Consulting Models 09:28 AI Adoption Challenges and Problem Framing 15:04 Skills for the Next Generation of Consultants
This episode explores AI adoption , AI transformation , and how the consulting industry is shifting from delivering presentations to delivering real business outcomes. In conversation with Rahul Nair, Expert Associate Partner at Bain, the discussion dives into one of the most important shifts in AI consulting today: clients are no longer paying for insights alone, they are demanding measurable results. As organizations invest in AI but often face the challenge of AI not delivering results , the expectations from consulting firms are fundamentally changing. A central theme is how AI adoption is redefining the consulting business model . While AI can significantly improve productivity, it is also acting as an infrastructure layer that changes how consulting work is done, how teams are structured, and how value is delivered to clients. The episode explores how consulting is moving toward: Outcome-driven engagements instead of slide-based deliverables Smaller, more senior teams supported by AI instead of large pyramids Faster execution cycles driven by AI-enabled workflows Greater emphasis on expertise, judgment, and real-world experience The conversation also highlights how AI adoption challenges are reshaping client behavior. With access to AI tools, clients are becoming more sophisticated, faster in evaluating options, and more demanding in terms of speed, quality, and tangible impact. Key topics covered include: Why AI is not delivering results without strong expertise and execution focus How AI consulting is evolving toward outcome-based models The reversal of the traditional consulting pyramid The growing importance of senior expertise over large delivery teams How boutique firms can compete by focusing on speed, specialization, and results The episode also provides a practical lens on how consultants can stay relevant in the age of AI. It emphasizes the importance of curiosity, critical thinking, and communication , and why the real value lies in the “20% insight” that goes beyond what AI can generate. A key insight from the discussion is that AI will not replace consultants, but consultants who use AI effectively will replace those who do not . For aspiring consultants, this episode offers clear guidance on how to build skills that matter in an AI-driven world. For leaders, it provides a grounded perspective on how to evaluate consulting partners in an era where AI has made basic analysis more accessible. If you are working on AI adoption , leading AI transformation , exploring new models of AI consulting , or trying to make AI deliver real business results, this episode offers a sharp, practitioner-led view on what is changing and what it takes to stay ahead. Chapters 00:00 AI Adoption and the Shift to Outcome-Driven Consulting 03:12 AI Transformation: Tool vs Infrastructure 05:44 AI Consulting and Changing Client Expectations 08:46 Speed, Expertise, and the New Consulting Model 13:06 Building Consulting Firms in the AI Era 18:07 AI Adoption Challenges and Blind Spots 19:35 Skills for Consultants in an AI-Driven World
This episode explores how AI disruption , AI adoption , and new consulting models are reshaping what clients actually value from advisory services. Utsav speaks with Ryan Larcom, Managing Director at Alloy Partners, who brings a rare perspective as a consultant, corporate innovator, and client. The core tension discussed in this conversation: Consulting has historically sold knowledge packaged as slides . But in the AI era, knowledge is abundant. So what is left? Ryan’s answer is clear: Clients don’t want knowledge. They want outcomes. This shift has deep implications for how consulting is delivered, priced, and evaluated. Key ideas from the episode 1. Knowledge vs Experience is Breaking Apart Corporates have traditionally paid for knowledge artifacts. But the real value comes from: Decision-making under uncertainty Execution speed Translating insight into action AI exposes this gap by making knowledge easier to access, forcing consulting to justify its real value. 2. The New Consulting Advantage: Trust + Translation The best consultants in the AI era will not win on analysis. They will win on: Building trust with stakeholders Translating insight into decisions Driving change inside organizations As Ryan puts it: Innovation moves at the speed of trust. 3. AI Is Reshaping the Leverage Model The traditional pyramid model is breaking: Fewer junior analysts doing research More senior experts driving judgment AI acting as the operations and research layer This creates a new model closer to: Venture capital partnerships Expert-led advisory High-autonomy analyst roles 4. Apprenticeship Is Being Rewritten A critical challenge emerging: How do junior consultants learn without traditional work? The answer may be: Higher exposure to senior leaders Faster ownership of work Greater autonomy in using AI tools 5. Why Enterprises Struggle with AI Adoption A major insight from the discussion: Startups iterate every 3–6 months Enterprises take 9–12 months to adopt a tool This creates a structural gap. Winning organizations: Push experimentation to the edges Set governance at the top Scale what works from the bottom 6. How to Adopt New Consulting Models For clients exploring AI-native consulting firms: Start with pilot projects Focus on low-risk, high-impact areas Build internal champions Scale based on results The real shift is behavioral, not technical. What this means for the future of consulting This conversation reinforces a fundamental shift: From knowledge → outcomes From slides → decisions From process → impact AI is not eliminating consulting. It is forcing it to return to its core purpose: Helping clients make better choices. Chapters 01:21 Why Clients Still Pay for Knowledge 03:08 Outcomes vs Slide Decks 04:43 What Makes a Great Consultant Today 06:09 AI’s Role in Change Management 07:35 The Future of Apprenticeship 11:16 Why Enterprises Struggle with AI Speed 14:28 Adopting New Consulting Models 16:29 The Silver Lining of AI Disruption
This episode explores AI disruption , AI adoption , and the future of consulting with Scott Anthony, one of the leading voices on disruptive innovation. Drawing on decades of research in disruptive innovation and his latest book Epic Disruptions , Scott explains why consulting is not just evolving, but entering a pivotal moment shaped by AI transformation . A central question in this conversation: Is AI just a productivity tool, or is it fundamentally reshaping the consulting business model? The answer is nuanced. AI can improve efficiency, but it can also enable entirely new ways of creating, delivering, and capturing value. This dual nature is at the heart of the disruption unfolding in consulting today. The episode breaks down three clear signals of disruption: Clients demanding different outcomes, not just insights Technology enabling new performance and delivery models Emergence of new consulting business models A key theme is that AI disruption in consulting is not following the classic pattern . Unlike traditional industries where incumbents are slow to react, leading firms like McKinsey & Company, Accenture, and others are actively investing in AI and adapting early. This creates an unusual dynamic where both incumbents and challengers are shaping the future simultaneously. The conversation also explores how AI adoption is changing client behavior . Organizations are becoming more sophisticated, more self-sufficient, and more selective in how they use consulting services. This could lead to: Unbundling of consulting work More in-house strategy capabilities Greater focus on high-impact advisory and decision-making A critical insight from the discussion is that disruption will not eliminate consulting, but it will redefine where value lies. Key topics covered include: Why AI is both a tool and a business model shift How consulting is being disrupted from within The role of incumbents vs new entrants in AI-driven change Why clients are becoming more capable and harder to serve How consulting firms must rethink skills, structure, and delivery The episode also highlights a major opportunity for new firms: competing against non-consumption , serving clients who previously could not access consulting due to cost or complexity. For consultants, leaders, and founders, this conversation offers a grounded framework to understand: What is actually changing in consulting What remains constant Where the real opportunities lie in the age of AI If you are thinking about AI disruption , leading AI transformation , or exploring the future of AI consulting , this episode provides a clear, research-backed perspective on what comes next.
In this launch episode of Alt-Consulting Conversations , Utsav Bhatt explores a pivotal question: if we were building a consulting firm from scratch in an AI-enabled world, would we design it the same way? Drawing on nearly two decades in strategy consulting and his experience building StratOff as a strategy co-pilot firm, Utsav reflects on how shifts in technology change the underlying source of advantage in an industry. As AI compresses analysis timelines and challenges traditional leverage models, sharper questions are emerging about value, structure, and economics. This episode introduces the core ideas behind Alt-Consulting and sets the stage for conversations with consulting leaders, founders, and academics on what comes next for advisory work. New episodes drop every Wednesday.
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Observed September 11, 2026. Cached outside the daily freshness window; the positions keep the date they were taken on.
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