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Prompt and Circumstance

Prompt and Circumstance

Von: Mike Richardson Mark Redgrave Ryan Neimann & Tom Adams
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Über diesen Titel

 It’s human-friendly banter about code, culture, and CEO reality checks—served up by Mike Richardson, Ryan Niemann, Mark Redgrave, and Tom Adams. No jargon. No hype. Just real talk from four guys who’ve seen it all, and aren’t afraid to say what everyone’s thinking.Flourish Press Inc. Management & Leadership Ökonomie
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  • Strategic AI Implementation and Organizational Transformation Framework

    Strategic AI Implementation and Organizational Transformation Framework
    Nov 3 2025
    Business leaders face the challenge of moving beyond AI dabbling to strategic mastery, where artificial intelligence becomes the operating system of their organization rather than just another technology overlay. The episode reveals that 90% of AI pilot projects fail due to lack of strategic alignment and proper data infrastructure. Companies like Moderna are already restructuring their entire organizations around the combined human and digital workforce concept, signaling a fundamental shift in how businesses must operate. The key insight is that AI without access to internal data is like hiring a new employee and blindfolding them - they can't contribute meaningfully to business intelligence. Successful organizations treat AI as the foundation of their operations, creating intelligent systems that provide real-time decision-making capabilities and competitive advantage.HighlightsTreat AI as your organization's operating system, not just a technology add-onOvercome data access fears to transform AI from helpful stranger to informed coworkerShift from generative AI dabbling to agentic AI with internal data integrationCreate closed-loop systems where AI leverages your unique business intelligenceImplement daily practice and pilot projects with clear ROI measurementsRestructure organizational thinking around combined human-digital resourcesDevelop AI-first business models rather than overlaying AI on existing processesCommit to continuous learning and mastery rather than instant gratificationImportant Concepts and FrameworksGeorge Leonard's Mastery Framework - Understanding the journey through dabbling, hacking, obsessing, and mastery phasesAI as New Employee Analogy - The importance of data access for AI effectivenessIntelligent Organizations - Companies where AI provides real-time intelligence at decision momentsAI Native Mindset - Building businesses with AI as the foundational operating systemAgentic vs Generative AI - The difference between AI that acts on data versus generates contentClosed Loop Systems - AI implementations that leverage internal organizational dataDigital Transformation Roadmap - Strategic approach to becoming an AI-first organizationTools & Resources MentionedOpenAI Atlas Browser - AI-integrated browser with commercial ecosystem - https://openai.com/Claude Code - AI coding capabilities within Anthropic's Claude - https://www.anthropic.com/product/claudeChatGPT - Generative AI platform for content creation - https://chat.openai.com/Google Gemini - AI assistant and content generation tool - https://gemini.google.com/Perplexity AI - AI-powered search and research platform - https://www.perplexity.ai/Airtable - Platform for organizing and accessing business data - https://www.airtable.com/PayPal - Payment processing for AI commercial ecosystems - https://www.paypal.com/Calls to ActionShift your mindset from viewing AI as technology overlay to organizational operating systemConduct a data infrastructure audit to identify accessibility barriers for AI implementationStart daily practice with agentic AI tools that can access and act on your business dataCreate pilot projects with clear KPIs and ROI measurements rather than random experimentationRestructure organizational thinking around combined human and digital workforce capabilitiesDevelop an AI-first business model rather than trying to retrofit AI onto existing processesCommit to continuous learning and mastery journey rather than seeking instant gratificationKey Quotes"AI without data is like hiring a new employee and blindfolding them" — Mark Redgrave"We're in the dial-up stage of AI, not ready to replace airline pilots yet" — Marvin Dejean"AI must be in service of strategy, not strategy in service of AI" — Mark Redgrave"The companies that succeed will treat AI as their operating system" — Marvin Dejean"You better learn to love the plateau because you'll spend most time there" — Mike RichardsonChapters00:28 — Welcome and Recent AI Developments Overview02:02 — OpenAI Atlas Browser and AI Ecosystem Strategy03:20 — Moderna's Bold Organizational Restructuring Move05:57 — Marvin Dejean's AI Journey Since 201212:18 — The Critical Role of Data in AI Implementation18:17 — AI as New Employee: Data Access Analogy21:49 — Overcoming Data Infrastructure Challenges25:21 — Future AI Interface and Browser Integration28:24 — Mastery Framework for AI Adoption Success31:44 — Daily Practice and Commitment to Learning33:54 — Strategic Alignment and Avoiding Instant Gratification38:39 — Separating Wheat from Chaff in AI Implementation41:29 — Practical Actions for Moving Beyond AI Dabbling44:00 — AI as Organizational Operating System Mindset48:08 — Closing Thoughts and AI Incubator Announcement----------------------------------------Our Guest on this episodeMarvin DejeanLinkedIn: https://www.linkedin.com/in/marvindejean/----------------------------------------Meet the CrewMike Richardson – Agility, Peer Power & ...
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    49 Min.
  • Overcoming AI Resistance in Business Leadership and Strategy

    Overcoming AI Resistance in Business Leadership and Strategy
    Oct 20 2025
    Business leaders face overwhelming uncertainty about AI implementation, with executives privately admitting "I don't know what I'm doing" despite mandates from the top. The AI resistance stems from competing priorities, limited time, and the sheer volume of change overwhelming even experienced leaders. Rather than seeking confidence through knowing, successful leaders build confidence through curiosity and learning. The Matthew Effect shows that early AI adopters gain compounding advantages, while those who wait fall further behind. Key strategies include finding your "coalition of the willing" rather than convincing skeptics, treating AI as a service to existing strategy rather than the strategy itself, and embracing small experiments to build capabilities through commitment and courage.Highlights- Build confidence through curiosity rather than traditional knowing-based leadership- Find your coalition of the willing instead of wasting energy on convincing skeptics- Treat AI as service to strategy rather than making AI the strategy itself- Early adopters gain compounding advantages through the Matthew Effect- Create organizations that reward questions rather than demanding answersImportant Concepts and Frameworks- Matthew Effect in AI — Early advantages compound for AI adopters while others fall behind - Link: https://medium.com/@geopertea/the-ai-matthew-effect-pay-to-play-intelligence-supercharges-inequality-128bb4a36430- Navigating the Jagged Technology Frontier — BCG/Harvard study showing AI shifts performance one standard deviation - Link: https://www.hbs.edu/ris/Publication%20Files/24-013_d9b45b68-9e74-42d6-a1c6-c72fb70c7282.pdf- Confidence Framework — Dan Sullivan's commitment-courage-capabilities-confidence cycle - Link: https://www.couragetoanswer.com/blog/blog-post-title-four-s9s8j- Trust Triangle — Capability, consistency, and selflessness as foundations of trust - Link: https://www.linkedin.com/pulse/trust-triangle-framework-leadership-excellence-dr-nik-eberl-lj5ff/- Coalition of the Willing — Organizational change driven by pulling rather than pushingTools & Resources Mentioned- Claude 4.5 — AI assistant with new planning capabilities- Codex — OpenAI's code generation system- Wall Street Journal — Source for AI Matthew Effect article- Fortune — Article on executive AI uncertainty by Heather ConklinCalls to Action1. Find 2-3 people in your organization to form a learning team around AI2. Schedule 2 hours per week dedicated to AI experimentation and learning3. Identify one small process where AI could create immediate value4. Stop trying to convince skeptics and focus on your coalition of the willing5. Commit to one AI experiment this week, regardless of outcomeKey Quotes- "Your confidence now needs to come from curiosity" — Mark Redgrave- "Create an organization that rewards questions, not answers" — Mark Redgrave- "AI is in service of your strategy, not the strategy itself" — Mark Redgrave- "Find your coalition of the willing and go hard" — Mark RedgraveChapters00:27 — Welcome to AI Resistance and Business Uncertainty01:29 — What Leaders Are Actually Seeing in AI Implementation04:25 — The Matthew Effect: Early Adopters Gain Compounding Advantages07:22 — Building Confidence Through Curiosity Instead of Knowing13:58 — Finding Your Coalition of the Willing17:27 — AI as Service to Strategy, Not Strategy Itself20:02 — Trust Challenges in Rapidly Changing Environments25:07 — Personal Resistance and Overcoming Information Overload31:57 — Leadership Mindset Shifts for AI Adoption37:46 — From Systems of Engagement to Systems of Action39:18 — Practical Steps to Start Your AI Journey41:12 — Wrap-Up: Commitment, Courage and Capabilities----------------------------------------Meet the CrewMike Richardson – Agility, Peer Power & Collective IntelligenceWebsite: https://mikerichardson.live/LinkedIn: https://www.linkedin.com/in/agilityexpertmikerichardson/Ryan Niemann – Software CEO & Board OperatorWebsite: https://bob3.pro/LinkedIn: https://www.linkedin.com/in/ryanniemann/Mark Redgrave – Agility, People and PerformanceWebsite: https://www.shift-transform.com/LinkedIn: https://www.linkedin.com/in/mredgrave/Tom Adams – Executive Coach, Advisor & Trail BlazerWebsite: https://tomadams.com/LinkedIn: https://www.linkedin.com/in/tomadamscoach/
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    42 Min.
  • Transforming Business Operations Through AI Native Strategy and Implementation

    Transforming Business Operations Through AI Native Strategy and Implementation
    Oct 8 2025
    Most companies struggle with AI implementation, treating it as magical solution rather than strategic transformation. This episode reveals that true AI native enterprises are fundamentally redesigned around artificial intelligence at their core, not just bolting on AI features. The discussion focuses on how executives can identify strategic pockets where AI can reshape work processes, customer service, and sales operations. Key concepts include the distinction between AI-native versus AI-enabled businesses, the critical role of skunk works projects for innovation, and overcoming organizational resistance through courageous leadership. Learn why 90-95% of AI proof-of-concept projects fail to scale and how to avoid common pitfalls while creating meaningful business impact.HighlightsAI native means core business value couldn't exist without artificial intelligenceCreate physical and mental separation through skunk works projects for true innovationFocus AI implementation on back-office operations for maximum business valueShift from "why can't we" to "how can we" mindset to overcome risk barriersPrioritize AI initiatives with regular scrum meetings and executive commitmentStart with personal AI use cases to build team engagement and familiarityLead with bold vision rather than incremental goals for transformative changeImportant Concepts and FrameworksAI Native Enterprise — Organizations built from the ground up with AI as core business valueLink: https://www.linkedin.com/pulse/understanding-ai-native-businesses-organisations-olena-zanichkovska-p57vf/Skunk Works — Small, autonomous teams working on advanced innovation projectsLink: https://en.wikipedia.org/wiki/Skunkworks_projectProof of Concept Scaling — Process of expanding successful AI experiments to enterprise levelLink: https://www.imaginarycloud.com/blog/axiom-ai-proof-of-conceptCollective Intelligence — Shared intelligence emerging from AI and human collaborationLink: https://en.wikipedia.org/wiki/Collective_intelligenceVision-Led Leadership — Driving transformation through bold future-state vision rather than incremental goalsLink: https://www.forbes.com/sites/brentgleeson/2025/05/13/how-bold-leadership-vision-drives-growth-and-talent-driven-cultures/Tools & Resources MentionedCursor — AI-native coding environment built from ground up on artificial intelligenceLink: https://cursor.sh/Sprinklr — Customer experience platform positioning as AI-native solutionLink: https://www.sprinklr.com/SentinelOne — Cybersecurity platform framing detection as AI-native capabilityLink: https://www.sentinelone.comBetter.com — Mortgage lender branding as AI-first financial service providerLink: https://better.com/Amira — AI-powered reading assistant showing 4-14% proficiency gains in educationLink: https://amiralearning.com/ChatGPT — AI assistant used for rapid legal compliance research and document generationEvery — Company building AI-native products through newsletter-driven developmentCalls to ActionEstablish regular AI scrum meetings with key stakeholders to maintain momentum and accountabilityCreate physical or mental separation through dedicated innovation spaces or teamsIdentify one back-office process for AI transformation pilot within the current quarterEncourage team members to experiment with AI for personal tasks to build familiarityShift risk conversations from "why can't we" to "how can we" with legal and compliance teamsSet bold vision targets that require fundamental business model redesign rather than incremental improvementKey Quotes"AI native means the core value of the company could not exist without AI" — Mark Redgrave"Don't get hung up on whether you're native or not - focus on using AI" — Mark Redgrave"Create separation to reimagine how your business operates" — Mark Redgrave"The biggest risk is tickling AI rather than tackling it" — Mike Richardson"AI agents don't circumvent process - they require clarity" — Tom AdamsChapters00:25 — Introduction to AI Native Enterprise Transformation05:34 — The Danger of Treating AI as Magic Solution07:18 — Hollywood's Reaction to Synthetic AI Actress12:42 — Practical AI Use Case: Legal Compliance Research13:56 — AI Transforming Education Through Reading Assistance15:20 — Defining True AI Native Business Models17:34 — Why Most Companies Cannot Be Truly AI Native19:40 — EV Platform Analogy for Ground-Up AI Design24:20 — Skunk Works Approach to AI Innovation28:07 — Vision-Led Leadership for Transformative Change32:29 — Overcoming Organizational Risk and Resistance35:04 — From Tickling to Tackling AI Implementation39:10 — Executive Playbook for AI Priority and Action43:12 — Summary and Key Implementation Takeaways----------------------------------------Meet the CrewMike Richardson – Agility, Peer Power & Collective IntelligenceWebsite: https://mikerichardson.live/LinkedIn: https://www.linkedin.com/in/agilityexpertmikerichardson/Ryan Niemann – ...
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    44 Min.
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