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Prompt and Circumstance

Prompt and Circumstance

Auteur(s): Mike Richardson Mark Redgrave Ryan Neimann & Tom Adams
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 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. Développement commercial et entrepreneuriat Entrepreneurship Gestion et leadership Économie
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  • Scaling Your Business with AI: A Practical Guide to Fractional Teams and Strategic Implementation

    Scaling Your Business with AI: A Practical Guide to Fractional Teams and Strategic Implementation
    Dec 15 2025
    Most CEOs face the challenge of wanting to leverage AI for business growth but struggle with where to start and how to implement effectively. The common misconception is that AI implementation should be straightforward like ERP integration, but the reality requires a strategic, phased approach. This episode reveals how fractional AI teams can help businesses scale without linear headcount growth, focusing on three key areas: revenue operations automation, document analysis, and customer service transformation.The conversation covers essential frameworks including the importance of AI strategy alignment across leadership teams, the "buy vs. build" analysis for AI solutions, and the critical role of process mapping before implementation. The discussion emphasizes that successful AI adoption starts with culture shift from the top, where leaders must become AI champions and model "AI-first thinking" to drive organizational change.HighlightsIdentify scaling bottlenecks by asking: "What hires would you need if your business grew 50-100%?"Start with AI strategy alignment before any tool implementation to ensure leadership consensusFocus on automating existing manual processes before pursuing predictive analyticsUse visual process mapping to uncover workflow inefficiencies and redesign for AI optimizationImplement fractional AI teams rather than hiring single "director of AI" rolesTarget low-hanging fruit in revenue operations, document analysis, and customer serviceDevelop "AI-first thinking" by asking "How can AI help me?" for every business challengeExperiment with different AI models (Claude, OpenAI, Gemini) to understand their strengthsImportant Concepts and FrameworksFractional AI Teams Model — Outsourced teams providing AI strategy, engineering, and project management expertiseLink: https://www.kore1.com/fractional-ai-teams-when-to-use-contract-ml-engineers-vs-full-time-hires/AI Strategy Framework — Structured approach to aligning AI initiatives with business outcomesLink: https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/scenarios/ai/strategyProcess Mapping for AI Implementation — Visual documentation of current workflows to identify automation opportunities Link: https://www.cflowapps.com/ai-process-mapping/Buy vs Build Analysis — Evaluation framework for deciding between custom development and off-the-shelf AI solutionsLink: https://www.windwardstudios.com/white-papers/build-buy-software-developmentCurrent State vs Future State Workflows — Comparative analysis of existing processes versus AI-optimized versionsLink: https://miro.com/value-stream-mapping/current-vs-future-state-diagram/AI Culture Shift — Organizational transformation where AI-first thinking becomes embedded in decision-makingLink: https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/articles/build-ai-ready-culture.htmlTools & Resources MentionedClaude (Anthropic) — Advanced AI model competing with OpenAI, known for strong reasoning capabilitiesOpenAI/ChatGPT — Leading AI platform for general-purpose AI assistance and automationGoogle Gemini — Google's AI model integrated across Google Workspace and cloud servicesLovable — AI-powered presentation and visualization tool for creating interactive contentWhisper Flow — Voice-to-AI tool for dictation and conversational AI interactionSuper Whisper — Mac-specific voice-to-AI tool with customizable prompts and workflowsAWS Trainium 3 — Amazon's custom AI chip for training large language modelsCadre AI — Fractional AI teams providing strategy and implementation servicesCalls to ActionConduct a leadership alignment session to define your company's AI strategy and ensure all executives share the same vision.Map three key business processes using visual process mapping to identify automation opportunities and workflow inefficiencies.Experiment with at least one new AI tool you haven't tried before (Claude, Gemini, or specialized tools like Lovable).Ask the scaling question: "If our business grew 50-100% in the next year, what hires would we need?" to identify AI automation priorities.Start using voice-to-AI tools for daily tasks to increase personal productivity and model AI adoption for your team.Conduct a "buy vs build" analysis for your top three AI use cases before committing to implementation.Schedule regular AI demo sessions where team members share practical applications they've discovered.Key Quotes"It's not about the agent, it's about the workflow" — Riley Stricklin"Everybody wants to chat with their company data like they chat with ChatGPT" — Riley Stricklin"I am 60-80% more efficient every week, essentially twice as productive" — Riley Stricklin"The only way we've seen true culture shift happen is starting at the top" — Riley Stricklin"What hires would you need if the business grew 50-100%?" — Riley StricklinChapters00:00 — Introduction to AI Strategy and Fractional Teams02:47 — Time Magazine's AI...
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    58 min
  • 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
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