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Alt-Consulting (AI Adoption Conversations)

Alt-Consulting (AI Adoption Conversations)

Written by: Utsav A Bhatt | AI Adoption Advisor
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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.

2026 Utsav A Bhatt | AI Adoption Advisor
Economics Management Management & Leadership
Episodes
  • AI Adoption Is Failing Without Culture: Lessons from Ritz-Carlton | Jamey Lutz | S1E12
    Apr 29 2026

    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

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    35 mins
  • A New Flavor: From Conversations to Insights | Utsav A Bhatt | S1E11
    Apr 22 2026

    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
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    10 mins
  • AI Transformation: The Rise of the Fractional Chief AI Officer | John Sukup | E1S10
    Apr 15 2026

    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

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    32 mins
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