What are CEOs still getting wrong about AI?

After speaking with more than 1,800 CEOs and business owners about AI adoption, Enterprise Futurist and bestselling author Brett Schklar has seen a pattern: organizations are rushing toward AI while their leadership, workforce, processes, and operating models aren't necessarily ready for it.

In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka sits down with Brett, author of AI Without the BS: The CEO's Playbook for ACTUALLY Getting AI Right, for a candid conversation about what enterprise AI transformation looks like beyond the hype.

One of the central distinctions is between AI adoption and AI readiness. Giving employees access to AI tools is adoption. Building the leadership, governance, workforce capability, data, risk management, strategy, and operating discipline necessary to generate repeatable business value is something much deeper.

Brett also challenges one of the biggest narratives surrounding AI and employment: AI isn't necessarily coming for entire jobs—it is increasingly coming for tasks. That changes where human value sits. Creativity, curiosity, problem-solving, judgment, wisdom, and the ability to ask better questions become increasingly important.

• Why CEOs are struggling with AI adoption
• AI adoption vs. genuine AI readiness
• Why AI transformation is a leadership problem
• The growing divide between AI adopters and resistant employees
• Why middle management may become the "frozen middle" of AI transformation
• Why AI should be treated as a cheat code—not cheating
• Why organizations should stop chasing AI moonshots
• Brett's practical 4-1-1 approach to AI adoption
• Why organizations should "automate what they hate"
• What businesses should—and shouldn't—automate
• Why AI can expose weak leadership and dysfunctional processes
• Why wisdom and judgment become more valuable as intelligence becomes abundant
• What CEOs should personally understand about AI

• A practical 90-day AI transformation playbook

• Why curiosity may become one of the most valuable leadership capabilities in the AI era

Brett's practical philosophy is to start smaller rather than trying to transform the entire enterprise overnight: get employees comfortable using AI, identify recurring low-value work, experiment, learn, and compound incremental productivity improvements.

Perhaps the most important leadership question from the conversation is no longer simply:

"What can AI do?"

It is:

"Where can AI increase human capability without outsourcing human responsibility?"

Brett argues that relationships and high-value human interactions should retain a human touch while tactical and repetitive activities become stronger candidates for AI assistance.

Brett proposes a straightforward progression: during the first 30 days, the CEO goes first and personally uses AI; during the next 30, the organization selects two or three meaningful workflows rather than moonshots; and during the final phase, leaders establish permission for employees to experiment and pursue incremental improvements.

And when asked what single capability leaders should prioritize over the next 18–36 months, Brett's answer was simple:

Curiosity.

He argues that organizations should identify and empower people who are curious, creative, and focused on solving problems rather than simply completing tasks.

🎙️ Guest: Brett Schklar — Enterprise Futurist, Keynote Speaker & Author of AI Without the BS

🎙️ Host: Eric Bannavti Suiseka — AI Transformation Playbook Podcast

AI Transformation Playbook: Helping organizations become AI-ready before they become AI-driven.

#AITransformation #ArtificialIntelligence #AILeadership #AIReadiness #EnterpriseAI #GenerativeAI #FutureOfWork #Leadership #AIStrategy #DigitalTransformation #AIAdoption #ExecutiveLeadership #AITransformationPlaybook #BrettSchklar

AI Transformation Is a Human Challenge Before It Is a Technology Challenge

Organizations are investing heavily in AI tools, platforms, and automation—but many leaders are discovering that technology alone does not create transformation.

The biggest question is:

Can your organization actually adapt?

In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka speaks with Carolyn Moore, Consultant, Fractional CHRO, and CEO-trusted advisor, about why AI transformation requires more than technology adoption.

With nearly 30 years of experience helping organizations scale through growth, acquisitions, IPO preparation, restructuring, and leadership transitions, Carolyn brings a unique perspective on the human side of AI adoption.

The conversation explores why companies often struggle with AI—not because the technology fails, but because leadership alignment, culture, communication, and workforce readiness are missing.

Carolyn explains that many organizations approach AI by simply introducing tools and hoping adoption follows. Instead, leaders must first define:

• What problem are we solving?
• What outcome are we trying to create?
• How will AI make the organization stronger?
• How do we bring employees along during transformation?

✅ Why AI transformation is a leadership challenge, not just a technology challenge

✅ Why organizations fail when they deploy AI without clear alignment

✅ How employee trust and communication determine AI adoption success

✅ Why psychological safety is essential when employees fear AI replacing their roles

✅ The danger of removing human judgment from decision-making

✅ Why critical thinking becomes more valuable in the AI era

✅ How leaders can build an AI-ready workforce

✅ Why HR and People Leadership become more strategic as AI evolves

✅ How companies can use AI as a force multiplier instead of a replacement for human capability

Carolyn highlights that employees often resist transformation because they don't understand the purpose behind the change or how AI will improve their work. She emphasizes that trust begins with communication and clarity from leadership.

One of the most important insights from this conversation:

AI can generate options. Humans still need judgment to decide what matters.

Carolyn explains that judgment and critical thinking are capabilities organizations must protect because AI outputs still require human evaluation, context, and accountability.

The question is not:

"What AI technology should we implement?"

The question is:

"What are we trying to accomplish, and how can AI help us get there?"

Technology adoption without trust creates resistance.

Trust requires:

• Communication
• Transparency
• Accountability
• Leadership consistency

AI can accelerate analysis.

It cannot replace:

• Context
• Ethics
• Accountability
• Critical thinking
• Human understanding

The organizations that succeed will not eliminate humans.

They will create environments where humans and AI work together to achieve better outcomes.

Carolyn Moore is a Consultant and Fractional Chief People Officer helping companies navigate growth inflection points through leadership alignment, organizational strategy, culture transformation, and workforce readiness.

Learn more:
https://www.culturefluenceconsult.com/

Hosted by Eric Bannavti Suiseka, MBA, PMP, the AI Transformation Playbook explores how executives can become:

AI-ready before they become AI-driven.

Through conversations with AI leaders, executives, transformation experts, and innovators, the podcast explores the leadership, governance, workforce, and strategic capabilities required to succeed in the AI era.

Key Takeaways for Leaders:

1. Don't start with AI tools. Start with business outcomes.

2. Culture determines whether AI scales.

3. Protect human judgment.

4. The future of work is Human + AI.

Why do so many AI pilots appear successful but fail to create measurable enterprise value?

In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka speaks with Damon C. Gatison, SVP and Head of North America at SYNTHESIS, about what organizations must do to move AI from experimentation into production.

Damon brings more than 25 years of experience across investment banking, capital markets, wealth management, fintech, consulting, and enterprise transformation. He explains why AI technology alone is not enough—and why organizations must align leadership, governance, data, processes, workforce capability, and operating models before AI can scale successfully.

One of the central insights from the conversation is that a proof of concept only demonstrates that the technology can work. Enterprise transformation requires the organization itself to be ready to absorb, govern, measure, and repeat that success.

• Why most AI initiatives struggle after the pilot stage
• The difference between AI experimentation and AI transformation
• Why organizations cannot place AI on top of broken processes
• How workforce fear and weak adoption undermine AI investments
• Why clear KPIs are necessary to measure AI value
• The importance of AI governance, compliance, and organizational trust
• How financial institutions can adopt AI without increasing regulatory risk
• Modernizing legacy systems without destabilizing business operations
• Why clean data and strong operating models matter more than the latest model
• The role of an enterprise AI champion
• How AI is changing the consulting industry
• Why consultants must add judgment, interpretation, and customized insight
• The leadership behaviors that separate successful AI programs from stalled ones
• A practical 90-day roadmap for CEOs
• Why continuous testing should become a pillar of AI readiness

Damon argues that organizations should not simply keep existing processes and add AI on top. They must redesign the work, establish governance, clarify accountability, train employees, and create an operating model in which AI can function across the enterprise.

He also emphasizes that AI readiness begins with three foundational elements:

1. Clean and accessible data
2. Capable, properly trained people
3. Modernized processes that eliminate unnecessary manual work

Only then can AI be embedded in ways that improve efficiency, reduce human error, and generate sustainable value.

A successful AI pilot proves possibility. A successful AI transformation proves repeatability.

Organizations will not win by deploying the highest number of AI tools. They will win by building the organizational capability to use AI responsibly, consistently, and at scale.

Damon C. Gatison is SVP and Head of North America at SYNTHESIS, an AI-first consulting firm helping enterprise organizations modernize operations through AI engineering, enterprise transformation, data and analytics, and scalable operating models.

His work focuses on helping organizations move from AI ambition to measurable business results while navigating legacy technology, governance, regulatory complexity, workforce adoption, and organizational change.

Learn more:

SYNTHESIS: https://synthesis.inc

Eric Bannavti Suiseka, MBA, PMP

Founder, Enterprise AI Readiness Index™
Executive AI Transformation Strategist
Author | Speaker | Advisor
Host, AI Transformation Playbook Podcast

The podcast helps CEOs, boards, CIOs, founders, and transformation leaders become AI-ready before they become AI-driven.

Before scaling your next AI initiative, ask:

• What measurable business outcome are we pursuing?
• Is the underlying process ready to be redesigned?
• Is our data clean, governed, and accessible?
• Do employees understand how AI will support their work?
• Who owns the AI strategy across the enterprise?
• What governance and testing mechanisms are in place?
• How will we measure value after six, twelve, and eighteen months?

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Artificial intelligence can process more data, accelerate work and automate repetitive tasks.But none of that guarantees meaningful transformation.In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka speaks with Stephanie Sylvestre, technologist, entrepreneur, social-impact innovator and co-founder of Avatar Buddy, about why successful AI adoption must begin with people, purpose and clearly defined outcomes.Stephanie challenges organizations to stop adopting AI simply because the technology exists. Instead, leaders should ask:Why are we using AI? What human problem are we solving? And what measurable outcome should it produce?This conversation explores how organizations can combine AI with human creativity, resourcefulness, critical thinking and leadership—without prematurely replacing the people who understand the work.Stephanie also shares how AI can be used to preserve cultural history, expand access to mentorship and carry human knowledge and legacy forward through digital twins. Her work includes preserving Belizean history, supporting local languages and building virtual communities of mentors and storytellers.In this episode, we discuss:* Why many AI projects solve problems that do not need solving* Why AI strategy should begin with purpose, not technology* The human capabilities organizations must develop alongside AI* Why replacing employees too quickly can backfire* How AI should augment people rather than eliminate them* The difference between LLMs, SLMs, AI agents and autonomous AI* Why autonomous AI requires stronger oversight* How leaders should think about responsibility and accountability* Using AI to preserve Black and Belizean history* Digital twins as tools for mentorship, education and legacy* Why employees from every level should participate in AI implementation* The importance of data readiness before deployment* Why “awareness of outcomes” may be a missing pillar of AI readinessOne of the strongest lessons from the conversation is that leaders should not begin with:“How can we use AI?”They should begin with:“Why do we want to use AI, and what outcome are we trying to create?”Stephanie also explains that AI implementation should involve people from across the organization. When leaders exclude employees who understand the real workflows, they often build solutions that fail in practice. Pasted text.txtAbout Stephanie SylvestreStephanie Sylvestre is a technologist, entrepreneur, corporate leader and human-potential advocate.As co-founder of Avatar Buddy, she focuses on practical and responsible applications of AI, including digital mentorship, cultural preservation, workforce development and human-centered innovation.Her work demonstrates that the future of AI is not simply about building more capable machines. It is about helping people and organizations become more capable alongside them.Connect With StephanieLinkedIn: https://www.linkedin.com/in/stephanie-a-sylvestre?utm_source=share_via&utm_content=profile&utm_medium=member_iosCompany: Avatar Buddy : https://avatarbuddy.co/Mention the AI Transformation Playbook Podcast when reaching out to receive a complimentary 30-minute consultation.About the HostEric Bannavti Suiseka, MBA, PMPFounder, Enterprise AI Readiness Index™Executive AI Transformation StrategistAuthor | Speaker | AdvisorHost, AI Transformation Playbook PodcastThe show helps organizations become AI-ready before they become AI-driven by strengthening leadership, governance, workforce capability, data, risk management and AI strategy.Before Your Next AI Investment, Ask:* What problem are we solving?* Why is AI the right solution?* What outcome are we expecting?* Do we have the necessary data?* Are our leaders and employees ready?* Who remains accountable for the result?Check your AI Readiness Score : https://bannavsbannavllc.com/ai-readiness-index

Artificial Intelligence is advancing faster than most organizations can govern.

In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka sits down with Latha Karthigaa Murugesan, Head of AI Governance at the Global AI Certification Council (GAICC), to explore why AI governance has become one of the most important executive responsibilities of the AI era.

Rather than viewing governance as bureaucracy, Latha explains why it is the foundation that allows organizations to innovate confidently, responsibly, and at scale.

Drawing from real-world AI failures—including government algorithmic bias, multimillion-dollar deepfake fraud, chatbot failures, and emerging international regulations—this conversation provides practical guidance for CEOs, CIOs, board members, AI leaders, and governance professionals preparing their organizations for enterprise AI.

In this episode we discuss:

• Why AI governance should begin before AI adoption
• The Dutch AI scandal that brought down an entire government
• Deepfake attacks and the growing risks facing enterprises
• Why AI projects fail because of organizational readiness—not technology
• ISO/IEC 42001 explained for executives
• The EU AI Act and what leaders should know today
• Data governance, AI bias, and employee awareness
• Why governance accelerates innovation instead of slowing it down
• The board's role in AI oversight
• Why empathy and collaboration may become the most valuable leadership skills in the AI era

One of the strongest messages from this conversation:

Organizations don't become AI-ready by deploying more AI. They become AI-ready by developing the leadership, governance, and organizational capabilities to use AI responsibly.

Learn More

🌐 Global AI Certification Council (GAICC)
https://gaicc.org

Connect with Latha Karthigaa Murugesan

LinkedIn: Latha Karthigaa, PhD | LinkedIn

YouTube: Latha-AI-Governance https://www.youtube.com/@Latha-ai-governance

Take the Enterprise AI Readiness Index™

Assess your organization's AI readiness before scaling AI initiatives.

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Connect with Eric Bannavti Suiseka

🌐 https://bannavsbannavllc.com

🎙 AI Transformation Playbook Podcast

📖 Author | Speaker | Executive AI Transformation Strategist

If you found this discussion valuable, please Like, Subscribe, and Share with another executive preparing their organization for AI transformation.

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Artificial Intelligence is becoming more powerful every day.But perhaps the bigger question isn’t what AI will become.It’s what humans must become.In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka sits down with leadership coach, keynote speaker, executive advisor, and two-time cancer survivor Savio Clemente to explore the human capabilities that become more valuable as AI becomes more intelligent.Rather than focusing on algorithms and automation, this conversation explores judgment, trust, psychological safety, self-awareness, leadership, and why clarity—not technology—is often the missing ingredient in successful AI transformation.One of Savio’s most memorable insights is simple:“Performance doesn’t fail first. Clarity does.” ⸻In this episode, you’ll discover:* Why AI should strengthen—not replace—human judgment* The difference between information and wisdom* Why leaders are confusing speed with intelligence* How AI can become an echo chamber if leaders lack self-awareness* Why psychological safety matters even more in the AI era* The hidden relationship between trust, vulnerability, and AI adoption* Why executives should ask employees what they hope AI will do—not just what they fear* The role of silence, reflection, and metacognition in better decision-making* Why organizations should prioritize clarity before technology* How transparency may become the next essential pillar of AI readinessThroughout the conversation, Eric connects these ideas to the Enterprise AI Readiness Index™, arguing that organizations often invest in AI before developing the leadership discipline needed to use it responsibly. Savio also introduces his ALOHA Reboot Framework and explains why understanding ourselves may become one of the greatest competitive advantages in an AI-driven future. ⸻Memorable Quotes“Performance doesn’t fail first. Clarity does.”“We don’t have a content problem. We have a connection problem.”“AI can inform what we do—but it shouldn’t replace how we think.”⸻About Savio ClementeSavio Clemente is an executive coach, keynote speaker, journalist, and two-time cancer survivor whose work focuses on leadership, resilience, psychological safety, human performance, and self-awareness.Through coaching, writing, and speaking, he helps leaders develop the clarity, emotional resilience, and judgment needed to navigate an increasingly technology-driven world.⸻About the AI Transformation PlaybookThe AI Transformation Playbook Podcast helps CEOs, executives, founders, board members, and transformation leaders move beyond AI hype and build organizations that are truly AI-ready.Hosted by:Eric Bannavti SuisekaFounder | Enterprise AI Readiness Index™Executive AI Transformation StrategistAuthor • Speaker • Advisorhttps://bannavlibrary.com/https://bannavsbannavllc.com/Subscribe for conversations on:* AI Leadership* Enterprise AI Readiness* AI Governance* Executive Strategy* Digital Transformation* Responsible AI* Future of Work* Organizational Change#ArtificialIntelligence#AILeadership#FutureOfWork#ExecutiveLeadership#AITransformation#EnterpriseAI#AIReadiness#Leadership#HumanCenteredAI#DigitalTransformation#ResponsibleAI#PsychologicalSafety#FutureOfLeadership#ExecutiveCoaching#AITransformationPlaybook

Artificial intelligence may not remain a tool forever.

In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka speaks with Dr. Craig A. Kaplan, an AI pioneer who has spent more than four decades studying intelligent systems, ethics, AI safety, and Superintelligence.Dr. Kaplan explains what Superintelligence really means, why values and system design matter more than most leaders realize, and how Democratic AI could offer a safer alternative to concentrated, black-box intelligence.

The conversation explores a critical question:How can humanity build intelligence that becomes more capable than us without losing control of it?

In this episode, we discuss:

* The difference between information, intelligence, AGI, and Superintelligence

* Why AI may evolve beyond being a simple business tool

* What “safe Superintelligence” actually means

* Why current AI systems can become unpredictable

* The limitations of regulation when technology moves faster than government

* How Democratic AI uses participation, checks, balances, and collective intelligence

* Why organizations should avoid relying on a single AI model or provider

* How multiple AI agents can challenge and verify one another

* Why values must be made explicit before AI is deployed

* The role of human judgment, ethics, and critical thinking

* Why AI safety belongs in the boardroom—not only in research labs.

One of Dr. Kaplan’s most important warnings is that AI is learning from human behavior right now.

Our organizations, decisions, and ethical choices are becoming part of the data from which advanced systems learn. He also argues that the future of enterprise AI may depend on communities of specialized agents rather than one centralized system, with checks and balances built into the architecture. Key takeaway: We must design AI correctly—and behave in ways worth learning from. Dr. Kaplan’s final advice to executives, founders, policymakers, and researchers is clear: system design matters, and individual ethical behavior matters more than most people realize.

About Dr. Craig A. Kaplan

Dr. Craig A. Kaplan is a pioneer in artificial intelligence and the inventor behind technologies designed for safe Superintelligence. His work spans intelligent systems, algorithmic design, AI safety, ethics, and collective intelligence.He began his career collaborating with Nobel Laureate and Turing Award winner Dr. Herbert A. Simon and later founded iQ Company. Today, his work focuses on safe, open, interoperable approaches to advanced AI and the development of Democratic AI.

Learn more at: https://www.superintelligence.com/

About AI Transformation Playbook:

The AI Transformation Playbook Podcast helps CEOs, boards, founders, and transformation leaders move beyond AI hype and focus on the leadership, governance, workforce, risk, and strategic capabilities required for responsible AI adoption.

Hosted by:

Eric Bannavti Suiseka

Founder, Enterprise AI Readiness Index™

Executive AI Transformation Strategist

Author | Speaker | Advisor

https://bannavlibrary.com/

https://bannavsbannavllc.com/

Subscribe for conversations on:

* AI governance

* Enterprise AI readiness

* Responsible AI

* Executive leadership

* AI risk and security

* Workforce transformation

* The future of work

#Superintelligence#AISafety#DemocraticAI#AIAlignment#ArtificialIntelligence#ResponsibleAI#AIEthics#AIGovernance#CollectiveIntelligence#AGI#AILeadership#ExecutiveLeadership#FutureOfAI#AITransformation#AITransformationPlaybook

AI transformation is not just about tools. It is about people, judgment, leadership, and the willingness to work differently.

In this episode of AI Transformation Playbook, Eric Bannavti Suiseka speaks with Yosi Kossowsky about why many organizations talk about transformation but struggle to actually transform.

Yosi explains why companies often try to use new technology with old habits, why AI adoption loses momentum, and why leaders must experiment with AI before telling their teams what it can do.

In this conversation, we discuss:

• Why transformation is difficult even when people want change
• Why organizations confuse AI activity with real transformation
• The danger of using AI without reading, checking, or thinking
• Why human judgment, intuition, and emotional connection still matter
• Why leaders should experiment with AI before making decisions about it
• How AI can weaken critical thinking if used carelessly
• Why experimentation may become a new pillar of AI readiness

One of the strongest takeaways from Yosi:

“Don’t tell others what AI should be able to do for them until you’ve proven it yourself.”

This episode is for CEOs, executives, founders, board members, consultants, and transformation leaders who want to understand AI beyond hype and build organizations that remain human, thoughtful, and ready for change.

Yosi Kossowsky
Executive Coach | Leadership Advisor | Technology & Human Transformation Thinker

Connect with Yosi on LinkedIn : Yosi Kossowsky | LinkedInEric Bannavti Suiseka
Founder, Enterprise AI Readiness Index™
Host, AI Transformation Playbook Podcast
AI & Digital Literacy Executive Advisor

Enterprise AI Readiness Index™ — Executive Diagnostic#AITransformation #AILeadership #ArtificialIntelligence #AIReadiness #DigitalTransformation #FutureOfWork #Leadership #ExecutiveLeadership #HumanJudgment #CriticalThinking #ResponsibleAI #OrganizationalChange #ChangeManagement #HumanCenteredAI #AITransformationPlaybook

Why do so many AI initiatives never make it beyond the pilot stage?

In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka sits down with Brian Beck to explore one of the biggest challenges organizations face today—not implementing AI, but becoming truly AI-ready.

Rather than discussing the latest AI tools, this conversation focuses on what actually determines enterprise success:

• Why do executives begin AI conversations with uncertainty instead of strategy
• Why governance accelerates AI instead of slowing it down
• The critical role cybersecurity plays in AI transformation
• Why AI exposes organizational weaknesses instead of fixing them
• How leaders can move from "doing AI" to building AI-ready organizations
• Why culture and critical thinking are becoming more valuable than ever

One of the biggest takeaways:

AI should complement your people—not replace them.

Brian also shares why organizations must shift from a "me" mindset to a "we" mindset if they want AI to create lasting business value.

If you're a CEO, CIO, board member, transformation leader, or executive responsible for AI strategy, this conversation offers practical insights you can apply immediately.

Brian Beck

Executive Advisor | Cybersecurity Strategist | AI Readiness & Governance Leader

Learn more:🌐 Cyber Security Services Indianapolis – Reliable, Secure, Networks…Exceptional People!

LinkedIn: Brian Beck | LinkedIn

Eric Bannavti Suiseka

Founder – Enterprise AI Readiness Index™

Executive AI Transformation Strategist

Author | Speaker | Podcast Host

🌐 https://bannavsbannavllc.com

📊 Enterprise AI Readiness Assessment

https://aiscore.bannavsbannavllc.com/

If you're leading AI transformation inside your organization, subscribe for weekly conversations on:

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Most AI initiatives don’t fail because of the technology—they fail because leaders never earn genuine buy-in.In this episode of the AI Transformation Playbook Podcast, Eric Bannavti Suiseka and Scott Archibald sit down with leadership consultant and author Joe Rockey to explore why organizational culture, trust, and leadership matter far more than the latest AI tools.Joe explains why agreement isn’t the same as commitment, why AI cannot solve people problems, and how leaders can create organizations where employees embrace change instead of resisting it.Whether you’re a CEO, executive, entrepreneur, project manager, or transformation leader, this conversation offers practical strategies for leading successful AI adoption without losing the human side of your organization.In this episode, you’ll learn:✅ Why most AI transformation initiatives lose momentum✅ The difference between compliance and true organizational buy-in✅ How leaders build trust before introducing AI✅ Why culture—not technology—determines AI success✅ The leadership habits that create lasting AI adoption✅ How curiosity becomes a competitive advantage in the AI era✅ Why ethics should be part of every AI transformation strategyAbout Joe RockeyJoe Rockey is a leadership consultant, author, and organizational transformation expert. His work helps leaders build stronger teams, improve organizational commitment, and create cultures where people genuinely embrace change instead of merely accepting it.Website: https://elitebusinesscruises.com⸻🎙 AI Transformation Playbook PodcastHelping organizations become AI Ready before they become AI Driven.Hosted by:Eric Bannavti SuisekaFounder | Enterprise AI Readiness Index™AI & Digital Literacy Executive AdvisorScott ArchibaldAI Sales Enablement Strategist⸻🌐 Website:https://bannavsbannavllc.com📊 Enterprise AI Readiness Index™https://aiscore.bannavsbannavllc.com/💼 Connect with Eric on LinkedIn:https://www.linkedin.com/in/e-bannav-mba-pmp-5879a02a?utm_source=share_via&utm_content=profile&utm_medium=member_ios⸻👍 If you enjoyed this episode:✔ Like✔ Subscribe✔ Share with another leader✔ Leave a comment:What do you think is the biggest obstacle to successful AI adoption in organizations?⸻#AITransformation #AILeadership #ArtificialIntelligence #DigitalTransformation #AIReadiness #Leadership #ExecutiveLeadership #FutureOfWork #BusinessTransformation #changemanagement