The AI Cookbook: AI Tools | Enterprise AI | Leadership

Malcolm Werchota

Malcolm Werchota's AI Cookbook is where artificial intelligence meets authentic business transformation. Known for his direct style and willingness to show AI in action—even during live presentations—Malcolm helps organizations understand that AI isn't about replacing humans but amplifying their capabilities. From voice-note productivity hacks to real-time meeting intelligence, this podcast delivers actionable insights for immediate implementation.

  1. 15 GIỜ TRƯỚC

    E75: Deloitte AI Scandal: Why Consulting Firms Are Failing at AI

    The consulting industry just had its "Titanic moment." Deloitte refunded the Australian government $440,000 after delivering a report filled with AI hallucinations—fake citations, non-existent research, and fabricated quotes. But this isn't just one firm's mistake. It's a symptom of a dying business model. In this episode, Malcolm Werchota breaks down why traditional consulting firms like McKinsey, BCG, Deloitte, and PwC are sitting on an ejector seat in the age of AI. The old pyramid model—one partner billing out 15 junior analysts—collapses when AI tools can do the research, analysis, and slide decks better and faster than any team of fresh graduates. Malcolm reveals the exact AI tools and workflows his firm uses to deliver better results for clients, including the critical 40% rule: spend 40% of your AI time verifying outputs to avoid hallucinations. You'll discover why recording every single meeting, democratizing information access, and building AI agent armies isn't optional anymore—it's survival. What You'll Learn Why the traditional consulting pyramid model is broken in 2025The exact AI tools Malcolm's team uses daily (Claude, Perplexity, ChatGPT, and more)How to verify AI outputs and avoid the hallucination disaster that destroyed Deloitte's reputationWhy spending 21 hours per week on TikTok makes Malcolm a better AI consultantThe "obelisk model" replacing pyramids: AI agents at the bottom, orchestrators in the middleHow to transition from billable hours to outcome-based pricingReal examples of AI-powered client workshops delivering working solutionsTraditional consulting is experiencing its biggest crisis since 2008. Malcolm Werchota analyzes Deloitte's $440,000 AI hallucination scandal and explains why it signals the death of the pyramid model—and what comes next. Notable Quotes “The margin is not at the top, the margin is at the bottom—and that’s where AI just obliterated the business model.”“Deloitte treated AI like a junior analyst they could exploit for margin instead of teaching people how to use AI correctly. That’s organizational malpractice.”“In the age of AI, learners will be the biggest winners.”“Which management consultant can say they spent 21 hours last week researching AI?”“You cannot bring somebody in today who’s not an AI enthusiast from top to bottom.” Resources MentionedClaude Sonnet 4.5ChatGPT (GPT-4o and GPT-5)PerplexityGemini, GrokAzure OpenAI (used by Deloitte)chat.werchota.comMicrosoft CopilotTikTok (AI content discovery)Graph RAG technologyClaude Code News ReferencesFinancial Times on Deloitte scandalUK regulators’ June 2024 warning to Big FourPwC AI pricing pressure statementAccenture layoffs (13,000 employees) For Consultants and Business LeadersThis episode is essential if you’re: Working in or hiring management consulting firmsConcerned about AI’s impact on consulting careersLooking to implement AI in professional servicesTrying to understand why traditional consulting is failing clientsBuilding an AI-first service business Malcolm’s ChallengeIf you’re still listening, tag Malcolm on social media or leave a comment. Follow the podcast on Spotify to show engagement with these deeper AI transformation episodes. LINKS & CONTACT INFORMATION Where to find Malcolm Werchota: LinkedIn: linkedin.com/in/malcolmwerchotaWebsite: werchota.aiYouTube: youtube.com/@werchotaX (Twitter): x.com/malcolmwerchotaFacebook: AI Cookbook by Malcolm WerchotaInstagram: malcolmwerchotaaiTikTok: malcolmwerchotaGet in touch: malcolm@werchota.ai Email the Show: social@werchota.ai AI Fit Academy: Malcolm’s program for professionals to apply AI tools in real work settings. Learn more: werchota.ai/ai-fit-academy

    44 phút
  2. 1 NGÀY TRƯỚC

    E74: Claude Code - Automate PDF & Excel Workflows with AI – No Coding Required

    Think AI automation is only for programmers? Wrong. In this episode, Malcolm Werchota shows you how to process 50 – 200 PDFs, Excel files, and other documents automatically – without writing a single line of code. No developer skills, just 5 minutes to install. Poorani, Malcolms colleague, now spends 60–70 % of his time in Claude Code (instead of a browser) and runs his entire company with 50 – 100 AI agents – no engineers in sight. You’ll learn how parallel agents make you 10× faster (25 minutes → 2.5 minutes), how Claude Sonnet 4.5 built a Slack clone with 11 000 lines of code in 30 hours, and how Malcolm automates his whole podcast workflow with just three agents (Rewriter, Reviewer, Metadata Generator). Real-world use cases: price analysis, expense reconciliation, batch Excel processing – plus Malcolm’s 30-Day TikTok / Instagram Reels Challenge and the AI Fit Academy money-back guarantee (“working workflows by Week 2 or 100 % refund”). Perfect for office professionals, founders, and anyone who’s ever been scared of a terminal. Ship First, Study Later! Episode Summary How to use Claude Code for real office automation – no programming required. Main Topics Claude Code for non-developers: terminal use without codingProcess 50–200 PDFs automatically (pricing, expenses, Excel)Malcolm uses Claude Code 60–70 % of his time vs browser50–100 AI agents running his company dailyClaude Sonnet 4.5 breakthrough – 11 000 lines in 30 hoursParallel agents = 10× speed (25 min → 2.5 min)Podcast workflow with 3 agents (Rewriter, Reviewer, Metadata)Setup in 5 minutes30-Day TikTok/Reels Challenge + AI Fit Academy guarantee Key Takeaways ✓ Terminal ≠ Coding – anyone can use Claude Code ✓ 10× speed gain through parallel agents ✓ No dev team needed – run your business with AI agents ✓ Claude Sonnet 4.5 can handle 30+ hours of complex tasks ✓ Automate hundreds of PDFs and Excel files at scale ✓ Ship First, Study Later: working workflows by Week 2 or money back Practical Examples Analyze price lists (50 + PDFs)Automate expense reports and receipt categorizationProcess 100 + Excel files simultaneouslyPodcast automation (Rewriter / Reviewer / Metadata)Run 10 agents in parallel = 10× speed-up Mentioned Resources Claude Code – Install in 5 MinutesClaude Sonnet 4.5 by AnthropicParallel Agent WorkflowsAI Fit Academy – Ship First, Study Later 🌐 CONNECT WITH MALCOLM WERCHOTALinkedIn: malcolmwerchota Website: werchota.ai YouTube: @werchota X (Twitter): @malcolmwerchota Facebook: AI Cookbook by Malcolm Werchota Instagram: @malcolmwerchotaai TikTok: @malcolmwerchota 📧 Contact: malcolm@werchota.ai 📩 Show Inbox: social@werchota.ai 🚀 NEXT STEPSInstall Claude Code (5 min setup)Run your first PDF or Excel automationJoin Malcolm’s 30-Day TikTok ChallengeExplore the AI Fit Academy for structured AI trainingShare this episode with a colleague who still fears “coding”

    20 phút
  3. 2 NGÀY TRƯỚC

    E73: 100,000 CHF Lost Every Year: The AI Training Gap in Medical Practices

    Small medical practices are losing an average of 100,000 CHF per year — not due to bad medicine, but due to missing AI tools in billing and administration. In this episode, Malcolm Werchota exposes a massive inefficiency in the DACH healthcare system: Medical Practice Assistants (MPAs) working without AI training, just as the TARDOC migration with 4,600 new billing codes approaches. The result? 5–7 hours of manual work every weekend, unread email floods, and six-figure losses from billing errors. And the crazy part: there are no AI courses for MPAs across Germany, Austria, and Switzerland, even though 80% of 500,000 doctors want to use AI — but don’t know how. Malcolm breaks down real AI solutions — automated billing checks, intelligent email triage, meeting transcription, and more. He shares insights from his collaboration with the MPA Academy in Buchs and explains why this untapped market represents 10–50 million EUR in potential. Plus: upcoming training dates on October 28, November 11, and November 26 for those ready to act now. 🎧 SHOW NOTESCore TopicsThe 100,000 CHF Problem: How the lack of AI tools in billing drains six figures from every small practice.Weekend Warriors: Why MPAs spend 5–7 hours every weekend manually checking patient records and billing entries.The TARDOC Tsunami: The upcoming switch to 4,600 new billing codes — and why clinics aren’t ready.The Training Gap: Zero AI courses for MPAs in the entire DACH region, despite huge demand.Practical AI Solutions:Automated billing verification systemsEmail triage and prioritizationTranscription tools for patient conversationsAutomated temperature and hygiene protocolsMarket Opportunity: 10–50 million EUR in potential for applied AI training in healthcare.MPA Academy (Buchs): Collaboration with Gernot for hands-on AI implementation.80% Want, 0% Can: 500,000 doctors across the DACH region want to use AI but lack the know-how. Key Figures & Facts100,000 CHF — average annual loss per practice due to billing inefficiencies5–7 hours — average weekend time spent on manual performance checks4,600 — new TARDOC billing codes coming in 2026500,000 — total number of doctors in the DACH region80% — want to use AI, but lack training0 — existing AI courses for MPAs (as of recording)10–50 million EUR — estimated market potential for practical AI upskilling 📅 Upcoming Training DatesOctober 28, 2025November 11, 2025November 26, 2025Quote from the episode: “There are no AI courses for MPAs in the entire DACH region. That’s like saying, ‘Here’s a scalpel — good luck’ without ever showing how to use it.” 👥 Who Should ListenMedical Practice Assistants (MPAs) who want to make their work more efficientPractice owners and managers looking to reduce costs and errorsHealthcare professionals eager to apply AI in daily operationsEntrepreneurs and investors exploring untapped AI marketsAnyone curious about where AI truly adds value — beyond the hype 📬 Contact & LinksMalcolm Werchota LinkedIn: linkedin.com/in/malcolmwerchotaWebsite: werchota.aiYouTube: youtube.com/@werchotaX (Twitter): x.com/malcolmwerchotaFacebook: AI Cookbook by Malcolm Werchota – ReelsInstagram: instagram.com/malcolmwerchotaaiTikTok: tiktok.com/@werchota Get in touch Questions or consulting inquiries: malcolm@werchota.aiShow feedback, episode ideas, or stories: social@werchota.ai Ready to level up your AI skills? Check out the AI Fit Academy – Malcolm’s hands-on program for professionals and teams. Ship First, Study Later – working workflows by week 2 or 100% refund guaranteed.

    25 phút
  4. 4 NGÀY TRƯỚC

    72: Claude Sonnet 4.5, OpenAI Sora 2, Meta Vibes, AI in Hollywood | AI Weekly Update Ep 2

    This week, AI split into three competing futures – and business leaders need to understand which path we are heading down. Malcolm Werchota breaks down the biggest AI developments of the week: Anthropics Claude Sonnet 4.5, OpenAI’s Sora 2, Meta’s disastrous Vibes, the controversy around AI actress Tilly Norwood, Microsoft Excel turning 40 (and suddenly becoming cool with Copilot), and MIT’s CRESt platform that combines AI with robotics to invent real materials. What you’ll learn in this episodeClaude Sonnet 4.5 – Why Anthropic’s latest model is being called the best coding model in the world, with a 39% performance boost on complex business tasks, 30+ hours of contextual memory, and “undo on steroids.” And how GitHub Copilot integration makes it instantly accessible to millions of developers.Excel turns 40 – and gets Copilot. Why the most boring software on earth just became the biggest gateway for AI adoption in the enterprise. Millions of non-technical employees will now use AI daily without even realizing it.OpenAI Sora 2 – The breakthrough in AI video. 20-second photorealistic clips at 1080p, synchronized audio with lip accuracy, real physics, and the viral “Cameos” feature that lets anyone insert themselves into any video. Why this is not just a tool, but the foundation of a new social platform – and what OpenAI’s $500B valuation signals about their strategy.Meta Vibes – the failure. Meta tried to copy Sora with its own AI video feed. The result? Universal backlash. “AI Slop,” “brain rot,” and one of the fastest consumer rejections in recent history. What this teaches us about user expectations, trust, and the limits of generative content.Tilly Norwood – the AI actress. Introduced at the Zurich Film Festival, she’s already being scouted by agencies. SAG-AFTRA, Emily Blunt, and Whoopi Goldberg push back. What does this mean for synthetic identities, deepfake risks, and the future of creative labor?MIT’s CRESt Platform – Copilot for Real-World Experimental Scientists. A system that doesn’t just simulate, but actually runs robotic experiments in the lab. Over 3,500 experiments in a few months, discovering a palladium catalyst that improves performance per dollar in fuel cells by 9.3x. Why this matters for energy, science, and the geopolitics of innovation.Episode SummaryThis wasn’t just another incremental week in AI. It was the week we saw three distinct futures of AI: Attention AI – Sora 2, Tilly Norwood, Meta Vibes. Content that manipulates, entertains, and blurs reality.Productivity AI – Claude Sonnet 4.5, Excel Copilot. Tools that directly transform workflows and measurable output.Physical AI – MIT’s CRESt. AI that moves beyond digital outputs and creates real-world innovation.The choice isn’t which of these will happen. They’re all happening. The real question is: which of these futures will define your business? Mentioned ResourcesAnthropic Claude Sonnet 4.5 → claude.aiGitHub Copilot with Claude IntegrationOpenAI Sora 2 → openai.com/soraMeta AI “Vibes” (Meta AI App)Microsoft Excel Copilot → microsoft.com/excelMIT CRESt Platform (MIT Energy Initiative)Perplexity Comet Browser → perplexity.aiWerchota AI Consulting → werchota.aiAI Fit Academy → werchota.ai/ai-fit-academyConnect with Malcolm WerchotaLinkedIn → linkedin.com/in/malcolmwerchotaWebsite → werchota.aiYouTube → youtube.com/@werchotaX (Twitter) → x.com/malcolmwerchotaFacebook → AI CookbookInstagram → @malcolmwerchotaaiTikTok → @malcolmwerchota📧 Contact: malcolm@werchota.ai 📧 Show requests & feedback: social@werchota.ai Ready to level up your AI skills?Discover the AI Fit Academy – Malcolm’s program that helps professionals and teams apply AI tools effectively in business. Ship First, Study Later – working workflows by week 2, or your money back. 👉 Learn more: werchota.ai/ai-fit-academy

    32 phút
  5. 5 NGÀY TRƯỚC

    Accenture: 11,000 Layoffs - Learn AI or Leave?

    Accenture's recent restructuring offers the clearest case study yet on AI workplace transformation. They cut 11,000 positions while simultaneously growing their AI workforce from 40,000 to 77,000 professionals. CEO Julie Sweet's statement that they're "exiting people where reskilling is not viable" reveals the brutal reality of AI adoption. This episode breaks down what makes some employees reskillable and others not, with actionable steps you can take immediately. Key Topics Covered: • Accenture's $865 million transformation: 11,000 out, 37,000 AI roles created • The "viable vs. nonviable skills" framework companies are using • Why traditional consulting skills are declining while AI capabilities explode • Three critical elements of successful AI reskilling • How to conduct your own skills viability audit • Practical steps to document and showcase AI work • Timeline and urgency: how fast this is really moving Notable Insights: "Not 'less valuable skills.' Not 'transitioning roles.' She used the word 'nonviable.' That's a fascinating and unusually honest way to describe what's happening in the professional workforce right now." - Malcolm Werchota "The winning combination is deep domain knowledge PLUS AI capabilities. That's what 'reinventors' means - people who can take their existing expertise and multiply it with AI." "Accenture made these decisions in three months. You probably have six to twelve months before your organization makes similar calls. That's your window." Accenture Key Stats Referenced: • 11,000 employees restructured out (May-August 2025) • 37,000 new AI professional positions created (2023-2025) • AI workforce grew from 40,000 to 77,000 in 24 months • Generative AI bookings: $3 billion to $5.1 billion • $865 million invested in restructuring program Your Action Plan: 1. Conduct a skills viability audit: Can you articulate how you're using AI now? 2. Commit to deep AI education, not shallow familiarity 3. Document and showcase your AI work everywhere (resume, LinkedIn, portfolio) Resources for AI Upskilling: While this episode focuses on understanding the transformation, Malcolm's AI Fit Academy provides structured training for professionals ready to build working AI workflows. Visit the link below for details. Where to find Malcolm Werchota: LinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai/ YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Facebook: https://www.facebook.com/people/AI-Cookbook-by-Malcolm-Werchota/61580362300250/?sk=reels_tab Instagram: https://www.instagram.com/malcolmwerchotaai/ TikTok: https://www.tiktok.com/malcolmwerchota Get in touch: Have questions about AI implementation or want to share your transformation story? Reach Malcolm at malcolm@werchota.ai Email the Show: Write to us with episode requests, feedback, or ideas at social@werchota.ai Ready to level up your AI skills? Explore AI Fit Academy – Malcolm's program helping professionals and teams apply AI tools effectively in work and business. Ship First, Study Later – working workflows by Week 2 or 100% refund. Learn more at https://www.werchota.ai/ai-fit-academy

    27 phút
  6. 30 THG 9

    E69: AI vs Experts: OpenAI’s GDP‑Val Shows 50% Parity, 35% Tipping Point, and Model Matchups (GPT‑5 vs Claude)

    This episode breaks down OpenAI’s GDP‑Val study benchmarking human experts vs leading AI models across 44 real occupations and 1,320 tasks, revealing AI already matches or beats expert quality ~40–50% of the time and why a simple formatting checklist boosts scores by ~5 points. Listeners get a clear playbook: the economic “35% tipping point” where AI becomes net-positive, model selection guidance (GPT‑5 as the “accountant,” Claude as the “designer”), and why structured inputs outperform plain text. Finally, it maps an adoption timeline from ~50% today to ~65% by year‑end, ~75% by 2026, and ~80% by mid‑2027, with role shifts toward AI orchestration, QC, and strategic agent deployment. Key takeaways The “35% rule”: below ~35% win‑rate, AI costs more due to human rework; above it, AI becomes ROI‑positive.Formatting is a primary failure mode; adding a prompt‑level checklist improves outcomes by ~5 pts on slide tasks.Models differ: Claude 4.1 excels in layout/formatting; GPT‑5 in factuality and calculations; no single “best” model.Complex, structured tasks (e.g., slides with context) outperform simple text prompts; context density matters.Trajectory: from ~13% (GPT‑4.0 a year ago) to ~50% now; plan for rapid step‑ups through 2026–2027.Links Connect with Malcolm on LinkedIn: https://www.linkedin.com/in/malcolmwerchotaWerchota AI: https://www.werchota.ai #AIDataSecurity #ChatGPTEnterprise #MicrosoftCopilot #EnterpriseAI #DataPrivacy #GDPR #AICompliance #CyberSecurity #DigitalTransformation #AIGovernance #TechLeadership #DataProtection #CloudSecurity #AIStrategy #EnterpriseTechnology

    26 phút

Giới Thiệu

Malcolm Werchota's AI Cookbook is where artificial intelligence meets authentic business transformation. Known for his direct style and willingness to show AI in action—even during live presentations—Malcolm helps organizations understand that AI isn't about replacing humans but amplifying their capabilities. From voice-note productivity hacks to real-time meeting intelligence, this podcast delivers actionable insights for immediate implementation.

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