Playbook AI Partners

You’re paying for the tools—but do you know who controls the accounts, where your passwords live, or whether you’re still using every subscription? 

Sandy Kibling sits down with Mary Wuest of Synced Strategies to explore the digital essentials that quietly keep a business running. From domains and email to websites and software, they discuss how overlooked details can become expensive headaches when an employee leaves, a vendor changes, or an important account becomes inaccessible.

Mary shares why documenting ownership, access, responsibilities, and support contacts can help business owners prepare for disruptions and smoother transitions. 

Sandy and Mary also explore how adding AI tools can complicate an already crowded collection of platforms, why human judgment still matters, and how a simple subscription review can reveal unnecessary spending. Listen for practical questions to help you organize your business’s digital foundation before adding the next shiny tool.

Key Takeaways

1. Know who holds the keys. Identify who owns and controls your domains, website, email, and other essential accounts—and what happens when that person leaves.
2. Document what keeps the business running. Capture important processes, responsibilities, and support contacts so essential knowledge doesn’t live with only one person.
3. Review before you add. Check subscriptions for unused tools, overlapping features, and unnecessary plan levels. Bring the same thoughtful approach to AI, including reviewing its output.

Resources:

Synced Strategies

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What happens when AI helps individual employees work faster, but the whole team still gets stuck? 

In this episode, Sandy Kibling talks with Ricardo Arcia, author of The Cognitive Leader, about his organization’s journey to rethink how software gets built. He shares why early experiments produced uneven quality, unexpected bottlenecks, and an important lesson: adding AI to a shaky process can amplify the chaos.

Together, they explore the shift from writing code to guiding and validating AI’s work, why training needs ongoing coaching, and how clear policies support responsible adoption. 

Ricardo also explains Team Zero—a dedicated team that tests new approaches and shares what works with the rest of the organization. Whether you lead an engineering team or are navigating AI adoption in your business, this conversation offers practical questions about people, processes, and measuring meaningful progress.

3 Key Takeaways

1. Measure the whole workflow. One person finishing faster does not guarantee faster delivery if the next team cannot use the work.
2. Pair AI tools with training and coaching. People need support to guide AI, validate its output, and build new habits.
3. Give experimentation a clear home. Ricardo’s Team Zero tests approaches, adapts the process, and shares updated guidance with other teams.

Resources:

Teravision

The Cognitive Leader.com

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When you read a social media post, are you hearing from a person—or a bot?

In this episode of the Playbook AI Partners podcast, Sandy Kibling talks with engineering leader and AI practitioner Richard Kersey about online trust, AI-generated content, and what happens when people begin questioning who is behind the conversation. Together, they explore how we can enjoy AI’s creative potential while keeping human voices and accountability in the picture.

Richard shares the thinking behind his social network experiment, where people vouch for other people through a chain of invitations and trust. The conversation explores privacy, the challenges of verifying someone is human, concerns about deepfakes, and the distinction between using AI to express your ideas and letting automated accounts drive the discussion. 

Listen for a thoughtful look at what it could take to keep the internet a place where people can connect with greater confidence.

3 Key Takeaways

1. AI assistance can still carry a human voice. Richard distinguishes between using AI to improve your writing and automated accounts posting without a person’s viewpoint behind them.
2. Privacy and accountability deserve to be considered together. His experiment explores whether people vouching for one another can support trust while preserving anonymity.
3. New tools need thoughtful guardrails. Sandy and Richard emphasize checking what we encounter online and considering who takes responsibility when AI gets something wrong.

Resources:

Chirpper - Website

Playbook AI Partners

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AI can help turn an idea into a working product faster than ever. But a product still needs a clear purpose, a reason for people to choose it, and a way for customers to find it. 

Sandy talks with Raj Singh, VP of product at Mozilla, about what changes when building gets easier and why human judgment matters more than ever.

Raj shares three starting points for builders: spend time defining what you want to make, think about growth before launch, and start exploring even if your idea is still taking shape. 

They also discuss using AI as a thought partner, testing different ways to reach customers, and keeping trust and quality in view as more AI-generated products and content appear.

3 Key Takeaways

1. Plan before you build. Talk through the idea, gather feedback, and write down what the product needs to do before moving into implementation.
2. Think about how people will find it. A finished product needs a growth plan; test channels and invest more in what works.
3. Use AI to sharpen your judgment. Ask it harder questions and explore possibilities, then decide what fits your customers and business.

Resources: 

RajSingh

Playbook AI Partners

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AI may help doctors manage paperwork and spend more time with patients. But what happens when an AI-generated note includes something you never discussed? Sandy talks with Dr. Camille Williams,(A.K.A. Queen) a radiation oncologist and veteran, about the promise of AI in healthcare and why careful review still matters.

Dr. Williams shares what to do when a cancer diagnosis leaves you overwhelmed: bring someone to appointments, ask your doctor to slow down, and request explanations you can understand. She also discusses her work helping veterans explore possible links between service-related exposures and cancer. Together, 

Sandy and Dr. Williams make the case for care built on clear questions, accurate records, and a partnership between patients and physicians.

3 Key Takeaways

1. Bring a second set of ears. After a cancer diagnosis, a trusted person can help you hear, remember, and follow up on what the doctor says.
2. Ask for an explanation you can picture. It is reasonable to ask where the cancer is, whether it has spread, and what unfamiliar medical terms mean.
3. Review your visit notes. AI can help with documentation, but clinicians need to check its work. Patients can flag anything in their records that does not match the conversation.

Resources:

Question 4 Cancer Doctors

Playbook AI Partners

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Why do promising AI projects fall short? Is the technology to blame—or are communication, leadership, and employee resistance the real obstacles? 

Sandy talks with Ted Wolf, co-founder of GuideWise and author of The Intelligent Business Equation, about the human side of implementing AI and why successful change begins with clarity, trust, and context.

Ted explains how organizations can connect business objectives, technology, and people instead of simply handing employees an AI tool and telling them to figure it out. 

You’ll hear why workflows and data must be addressed first, how AI agents can improve project management and collaboration, and what leaders can do to help employees move from fear and resistance to meaningful adoption.

3 Key Takeaways

1. Successful AI implementation requires three connected elements: clear business processes, the right technology, and people who understand and accept the change.
2. AI projects need a business outcome. Writing better emails may help an individual, but organizations should connect AI use cases to measurable operational or financial value.
3. Communication creates adoption. Leaders must explain why the change is happening, how employees will be affected, and where people fit into the organization’s future.

Resources:

TheIntelligentBusinessEquation - Book

Guidewise

Playbook AI Partners

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AI can help businesses move faster, work smarter, and uncover new opportunities—but what happens when privacy and security get left behind? 

In this episode, Sandy talks with fractional CTO and CISO Kevin Carlson about how businesses can embrace AI without unnecessarily exposing confidential information, customer data, or internal systems. Kevin explains why small businesses are still attractive targets and why checking an AI tool’s privacy settings is only one part of the solution.

You’ll hear why effective security depends on the right combination of people, processes, and technology—and why security leaders shouldn’t become roadblocks to innovation. 

Kevin also shares his experience developing patented AI models, introduces his fiction novel Weber’s Law, and explains why companies should begin their AI journey with focused, manageable projects. If you want to move beyond the hype and use AI with greater confidence and care, this conversation offers a practical place to start.

3 Key Takeaways

1. Small businesses are still targets. Company size doesn’t eliminate security risks, especially when you hold confidential information about customers, employees, or business partners.
2. Technology alone cannot protect a business. Strong security requires employee education, thoughtful processes, clear policies, and carefully selected technology.
3. Start using AI—but start small. Choose a focused use case, understand the technology’s limits, learn from the results, and build upon small successes.

Resources: 

TechCXO – Kevin Carlson

Weber’s Law

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AI is already making its way into classrooms and school operations—but are school districts moving quickly enough to guide its use? 

In this episode, Sandy speaks with Byron Headrick, co-founder and CEO of Lean Frog Consulting, about the growing gap between educators using AI and those receiving formal guidance from their districts. They explore why teachers are turning to these tools, the risks of moving too quickly, and what this evolving technology could mean for students, parents, and public education.

Byron explains why schools need more than a collection of AI-powered tools—they need foundational AI literacy, thoughtful guardrails, and a unified strategy. 

You’ll hear how teacher workloads, limited resources, staffing challenges, and the growing reliance on technology are shaping AI adoption. 

Byron also shares practical steps school leaders, teachers, and parents can take to help ensure AI supports education without replacing human judgment, meaningful instruction, or responsible decision-making.

3 Key Takeaways

1. AI use is moving faster than school guidance. Teachers are already experimenting with AI, often to reduce overwhelming workloads, while many districts are still developing policies and training.
2. Schools need AI literacy, not just AI-powered tools. Teachers and leaders must understand what AI can and cannot do before using it for decisions that affect students.
3. Parents should join the conversation. Asking teachers and school leaders how AI and technology are being used can help parents understand classroom practices and identify potential concerns.

Resources:

LeanFrogConsulting

Substack – The Superintendent’s Field Guide

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AI is supposed to save us time, make our businesses more productive, and help shorten the workweek. Instead, many business owners are spending hours comparing tools, following constant updates, and trying to understand technology that was supposed to make their lives easier. 

In this episode, Sandy Kibling, Chief Playmaker at Playbook AI Partners,  explores the three challenges driving AI overwhelm—time, change, and money—and explains why the right membership community can make such a difference.

You’ll learn why you don’t need to follow every AI development, how to avoid wasting money on tools you rarely use, and why practical guidance is more valuable than another library filled with hundreds of videos. 

Sandy also introduces the September Huddle sessions, for Playbook AI Partners which are FREE.  September Huddle sessions include live comparisons of ChatGPT and Claude, a look at Codex versus Cowork, and the four-part Build Your Digital Navigator Training Camp....teaching AI specifically about your voice, mission, and goals.

It’s a practical conversation about moving from AI information to confident business execution—without trying to figure it all out alone.

3 Key Takeaways

1. You don’t need to keep up with every AI change. Focus on the tools and developments that support your business, goals, and everyday work.
2. Buy AI tools based on a real problem—not fear of missing out. Before subscribing, determine whether the tool fits your workflow and test it on one practical project.
3. A valuable AI community should help you take action. The goal isn’t to consume more content; it’s to find trusted guidance, ask questions, and turn AI knowledge into useful business results.

Resources:

Join us in the AI Quick Club - FB Community - Get your daily AI Quick Win

Playbook AI Partners

Businesses are under pressure to adopt AI—but simply purchasing a tool or telling employees to “start using AI” does not create meaningful results. 

In this episode, Sandy Kibling talks with Ryan Drumheller, fractional CIO and founder of Stellarhorn Group, about the disconnect that often exists between technology teams and business leaders—and why AI can magnify those communication gaps and operational problems.

Ryan explains why businesses may need to take a step back before moving forward with AI. The conversation explores how to identify realistic quick wins, establish governance and security practices, provide role-specific training, and keep humans responsible for AI-assisted work. 

You’ll also hear why chasing every new platform can create vendor risk—and how businesses can make thoughtful AI decisions based on their goals instead of the latest hype.

3 Key Takeaways

1. AI magnifies operational weaknesses. If a business has unclear processes, communication gaps, or broken workflows, adding AI may make those problems more visible rather than solve them.
2. Successful adoption requires more than a tool. Businesses need a clear plan, governance, security, practical training, feedback loops, and someone responsible for supporting employees.
3. Choose tools based on business needs—not online excitement. Evaluate what each platform does well, consider costs and risks, and avoid becoming unnecessarily dependent on one vendor.

Resources:

Stellarhorn.com

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