Does Your B2B Company Have a Backup Plan for AI?

What would happen if the AI platform your team uses every day disappeared tomorrow?Would you still have the instructions, messaging, research, ideas, processes, and other company knowledge you have built there?In this episode of Grounding AI, Donna Peterson shares a simple reminder for B2B leaders: AI can be a useful place to work, but it should not become the only place your company's knowledge lives.Donna explains why World Innovators has always believed in keeping important business assets in-house, whether that means your customer database, marketing information, company processes, or the knowledge your team is developing with AI.She also shares a practical weekly backup habit you can use to review what you created with AI and determine what should be saved internally. The goal is not to stop using AI. It is to use AI responsibly while making sure your company can continue operating with confidence if a platform, feature, or tool changes.In the episode instructions, you will also find a simple AI backup prompt you can adapt for your own company --> https://www.worldinnovators.com/hubfs/AI%20Worksheet%2c%20Give%20Aways/World_Innovators_Weekly_Business_Knowledge_Review.pdfGrounding AI is a World Innovators podcast for B2B leaders who want practical conversations about AI, marketing, communication, relationships, and better business decisions. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Why do AI answers sometimes seem less useful, even as AI tools keep getting better? Before blaming the AI, it may be time to look at the instructions you gave it.In this episode of Grounding AI, Donna Peterson explains why custom instructions should not be something you set once and forget. Your business changes. Your communication changes. The way you use AI changes. And the AI tools themselves continue to add new capabilities.Donna shares a practical exercise you can use to review how you've worked with AI over the last 30 days and identify where your custom instructions may need to catch up.You'll hear how to look for:Instructions you find yourself repeatingCorrections you continually make to AI responsesContext you're adding to prompts over and overChanges in your business, audience, tone, or goalsGuardrails that may need to be reconsidered as AI gains new features and integrationsDonna also explains why leaders should review permissions and access when AI tools are connected to other applications. The goal isn't to add more AI. It's to make sure the AI you're already using understands how you work today.A simple place to start: Ask your AI tool to evaluate how you've used it over the last 30 days. What have you repeatedly corrected, added, or asked it to change? Then compare what it finds with your current custom instructions.If your AI answers aren't as useful as they used to be, the problem may not be the tool. Your instructions may simply need an update.Grounding AI is a World Innovators podcast for leaders looking for practical ways to use AI to improve communication, build trust, and make better business decisions without losing the human thinking behind the work. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Buying AI tools does not mean your team will actually use them. In this episode of Grounding AI, Donna Peterson talks with Dr. Gleb Tsipursky, CEO of Disaster Avoidance Experts and author of The Psychology of AI Adoption at Work: From Resistance to Results, about why AI adoption is often more of a people issue than a technology issue. Why do some employees avoid AI? Why are others using it but hesitant to admit it? And what can leaders do to help their teams become more comfortable without forcing change too quickly? Donna and Gleb discuss the psychology behind AI adoption, the role leadership plays in creating the right culture, and why starting with the right kind of task can make a real difference. They also look at an important question for every business investing in AI: How do you know if AI is actually helping your company, rather than simply adding another tool? If your company is introducing AI but struggling to get real participation from the team, this conversation will give you a different way to think about the problem. In this episode: • Why employees may resist AI even when the tools are easy to use • What leaders may be overlooking when introducing AI • How company culture influences adoption • A practical way to help employees get started • How to think about whether AI is producing real business value Grounding AI | World Innovators Practical conversations for B2B leaders who want to use AI thoughtfully, improve communication, and keep people at the center of the process. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

With all the excitement around AI, are we forgetting some of the business lessons that helped us become successful leaders in the first place? In this episode of the World Innovators Grounding AI Podcast, I talk about something I have been thinking about a lot lately. AI may not be what is creating confusion inside our companies. As leaders, we may be creating some of that confusion ourselves. We have spent years learning how to lead, communicate, build trust, make decisions, and understand our people. Those lessons still matter when we introduce AI into our businesses. I look back at lessons from four business books that have influenced how I work: Start With Why by Simon Sinek The 7 Habits of Highly Effective People by Stephen R. Covey Extreme Ownership by Jocko Willink and Leif Babin The 4 Disciplines of Execution by Chris McChesney, Sean Covey, and Jim Huling These books were not written about AI, but the leadership lessons apply. Before asking your team to use AI, do they understand: Why you are bringing it into the company? Do they know what you are trying to accomplish? Are you using it yourself? And are you continuing to coach your team after the initial training? One of the most important things I learned as a swim coach was that you cannot coach everyone the same way. The same applies to AI. Some employees are excited to try every new technology. Others need more time, examples, and guidance. Good leadership means understanding the people on your team and helping each person move in the right direction. In this episode, I discuss: Why AI adoption starts with leadership, not technology How to explain the "why" behind AI to your team Why leaders need to define what they actually want AI to accomplish How different employees may need different levels of AI coaching and support Why leaders need to model the AI behavior they want from their teams How regular AI discussions can encourage learning and implementation Why human experience, judgment, and business knowledge still need to guide AI How inconsistent AI use can eventually affect your marketing, sales communication, and customer trust A Simple Action to Take at your next team meeting, ask: Why are we using AI in our company? Then ask: What do we actually want AI to help us accomplish? Listen to your team's answers. You may find that people are not as aligned as you thought. AI should not make your business more confusing. Used with clear leadership, good judgment, and the business knowledge your team already has, it should help people work and communicate more effectively. If your team is trying to determine how AI fits into your business, I would be happy to talk through it with you. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Where should B2B leaders draw the line when using AI to create content? In this episode of Grounding AI, Donna Peterson shares an ethical struggle she has been thinking about as AI makes it easier to generate entire podcasts, blogs, case studies, presentations, and other thought leadership. Donna uses AI regularly. She trains companies on AI and believes it can be an extremely useful business tool. But there is an important distinction between using AI to organize and communicate your expertise and allowing AI to manufacture expertise that was never yours. For B2B companies with expensive products, complex services, and long sales cycles, that distinction matters. Buyers need to trust that the experience, opinions, case studies, and knowledge associated with your company are real. Donna discusses how she uses AI for brainstorming, challenging her thinking, organizing ideas, and making her own knowledge easier to communicate without asking AI to do the thinking for her. She also shares a simple question leaders can use when reviewing AI-assisted content: Where did the thinking come from? Was it based on your company's actual experience? A real customer? Your research? A real project? Your team's expertise? Your own opinions? AI should help your company communicate its expertise more effectively. It should not manufacture expertise your company does not have. If your team is using AI for B2B marketing, thought leadership, case studies, blogs, podcasts, or other business communications, this is an important conversation to have. Grounding AI is presented by World Innovators, helping B2B companies reach the right audiences, communicate clearly, build trust, and use AI responsibly in their marketing and business strategy. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

AI becomes valuable when it helps people do their real work, not when it simply becomes another tool to manage. In this episode of Grounding AI, Donna Peterson welcomes Aya Takase, Head of Global Marketing Communications at Rigaku and Vice President of AI Operations, for a practical conversation about helping employees adopt AI in ways that improve communication, decision making, and everyday work. Instead of discussing the latest AI trends, Donna and Aya focus on real business challenges: How busy professionals can start using AI today Why marketers are often the best people to lead AI adoption How to review AI-generated content before publishing it Why companies don't need dozens of AI tools How internal AI champions can help entire organizations learn faster Why understanding your business is more important than understanding AI Whether you work in manufacturing, industrial marketing, an association, or another B2B industry, you'll leave with practical ideas you can begin using immediately. At World Innovators, we believe AI should strengthen communication, support business strategy, and help companies build stronger relationships with their audiences. This conversation demonstrates exactly how thoughtful AI adoption can support those goals. Subscribe for weekly conversations about practical AI for business leaders. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

AI is improving quickly. The way we use it should improve too. In this episode of Grounding AI, Donna Peterson shares a simple weekly system that helps business leaders continuously improve how they use ChatGPT and other large language models. Instead of chasing every new AI tool, Donna explains how spending just 10 minutes each week reviewing your conversations with AI can help you write better prompts, communicate more clearly, and receive more valuable business insights. Using her simple Review, Learn, Test framework, you'll discover how AI can become a teacher instead of simply another productivity tool. If you're a business leader, marketer, manufacturer, association executive, or B2B professional looking to improve your AI skills through real work instead of endless tutorials, this episode is for you. In this episode you'll learn: • Why reviewing your AI conversations is more valuable than starting over every day • How ChatGPT can teach you to become a better AI user • Questions to ask AI that improve future responses • Why better business thinking creates better AI results • How just 10 minutes each Friday can improve your AI skills week after week At World Innovators, we believe AI works best when it supports better communication, stronger relationships, and smarter business decisions. This episode demonstrates a practical process any leader can begin using immediately. Subscribe for weekly conversations about practical AI for business leaders. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Donna Peterson has spent more than three decades helping industrial companies communicate more effectively, build stronger relationships, and grow their businesses. Like many experienced professionals, she wondered whether learning AI was really necessary at this stage of her career. In this episode of Grounding AI, Donna shares why her perspective changed. Rather than replacing experience, AI can help experienced professionals organize their knowledge, communicate more clearly, create stronger content, and make decades of expertise easier to share with clients and the next generation of employees. If you've been wondering whether AI is worth learning after years of building your career, this episode offers a practical, grounded perspective without the hype. You'll learn practical ways to: • Improve emails and business communication • Organize decades of knowledge • Create clearer articles and presentations • Repurpose reports and marketing content • Prepare for meetings more effectively • Share expertise across your organization Experience still matters. AI simply helps you make more of it. 5 Key Takeaways: AI cannot replace your experience, judgment, or relationships, but it can help you communicate them more effectively. Start small by using AI for one task, such as improving an email, organizing meeting notes, or clarifying an article. The quality of AI's output depends on the context and guidance you provide. AI can help experienced professionals preserve and share valuable organizational knowledge. Learning AI isn't about chasing technology, it's about continuing to serve people better. Whether you're an executive, business owner, sales leader, marketer, or experienced professional, this conversation will help you see AI as a practical assistant instead of something that replaces your judgment. This episode is part of the Grounding AI Podcast from World Innovators, where we explore practical AI strategies for B2B leaders who want to build stronger relationships, communicate more effectively, and grow their businesses. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Many association leaders volunteer because they genuinely care about helping their industry grow. The challenge is simple. Most volunteer leaders already have demanding full-time jobs, leaving little time to create new programs, improve member engagement, and think strategically about growth. In this episode of Grounding AI, Donna Peterson shares practical ways leaders can use artificial intelligence to help industry associations work smarter while building stronger member relationships. You will learn how AI can help organizations: • Review and repurpose existing content • Improve outdated webinars, presentations, and educational materials • Create stronger member surveys • Generate better event ideas based on member interests • Identify new audience segments for membership growth • Build stronger engagement through more personalized experiences The goal is not replacing human relationships. The goal is helping volunteer leaders save time so they can focus on building stronger communities. AI works best when it helps organizations think better, communicate better, and serve people better. If you lead an association, nonprofit, membership organization, or volunteer leadership team, this episode will give you practical ideas you can apply immediately. Subscribe to Grounding AI for weekly conversations about using artificial intelligence in practical business settings. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Labor shortages continue to challenge industrial companies everywhere. But there is another growing concern many leaders are now facing: How do you preserve the knowledge and experience veteran employees take with them when they retire? In this episode of Grounding AI Podcast, Donna Peterson explores how industrial companies can begin using internal GPTs and AI systems to capture employee expertise, preserve institutional knowledge, and help newer employees learn faster. AI will not solve labor shortages overnight. But AI can help organizations protect decades of experience, improve onboarding, and give younger employees faster access to trusted internal knowledge. In this episode you’ll learn: • What internal GPTs are and how companies can use them • How AI can preserve veteran employee expertise before retirement • Ways newer employees can learn faster using AI tools • Questions leaders should ask before building internal AI systems • How industrial companies can use AI without sacrificing authenticity The companies that use AI strategically will strengthen teams, improve knowledge transfer, and prepare the next generation of employees for long-term success. If your organization is evaluating AI, this conversation will help you think through practical next steps. Subscribe for weekly conversations on practical AI implementation for business leaders. *** Reach out to [email protected] if you’d like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.