The AI Cookbook: AI Tools | Enterprise AI | Leadership

🎙️ Episode DescriptionFor the last few weeks, Malcolm has been doing the same trick in workshops — and it keeps producing the exact same reaction: silence.He walks into a room full of executives, opens a real Excel file, switches Copilot into Agent Mode, gives it one big instruction — build charts, surface insights, create a 90-day plan, flag business errors, add a Read Me tab — and then calmly walks off to make a coffee while Excel starts building the analysis live in front of everyone.That is the whole point of this episode: Copilot in Excel has quietly become one of the most powerful AI adoption tools inside companies.Not because it feels futuristic. Not because it is the most hyped AI product on the market. But because Excel is already where people live. Finance lives there. Sales lives there. Operations, controlling, production, R&D — everybody uses Excel. There is no new app to learn, no extra login, no dramatic workflow shift. The AI appears exactly where people already work.Malcolm argues that this is why Excel may be the real Trojan horse of AI adoption. The episode also explains why most users still underuse Copilot in Excel. They ask for one formula, one chart, one tiny adjustment. But the real leap happens when you go big: ask for multiple tabs, multiple charts, error analysis, color-coding, a 90-day plan, formatting improvements, broken links, wrong references, and a full explanation of what was done. That is where Agent Mode stops being a gimmick and starts becoming a weapon.Malcolm also gives an honest view on the competition. Claude for Excel and ChatGPT for Excel can be very strong in certain cases, and sometimes even outperform Copilot in specific error-finding tasks. But in real companies, Copilot often has one decisive advantage: it is already inside the Microsoft environment people are allowed to use. That makes it far easier to adopt at scale.This is not an abstract episode about “the future of work.” It is a field report from real workshops, real managers, real spreadsheets, and real moments where people suddenly realize that the AI adoption tool they were waiting for may already be sitting in the ribbon of a product they have used for 20 years.🎙️ ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe. After more than 15 years in international corporates and leadership roles, his focus today is practical AI implementation without the usual nonsense. He works with companies from manufacturing to pharma, from family-owned businesses to large global enterprises — always with a strong bias toward real-world adoption and business value.🚀 RESOURCES FOR LEADERS📚 Chief AI Academy — AI for Decision-Makershttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-started📬 CONTACTLinkedIn: https://linkedin.com/in/malcolmwerchotaE-Mail: [email protected]🔎 TAGS#AI #AICookbook #Copilot #Excel #MicrosoftCopilot #AgentMode #AIAdoption #BusinessAI #EnterpriseAI #CFO #Controlling #ExcelAutomation #Leadership #FutureOfWork

OpenClaw is not just another AI tool — it’s a fundamental shift in how companies build, automate, and operate.In this episode, Malcolm Werchota explains why we are entering the era of multi-agent systems and how OpenClaw enables businesses to prototype, deploy, and iterate at unprecedented speed.Instead of theory, Malcolm walks through a real enterprise implementation: a fully deployed financial automation system running on Azure that processes invoices, validates data across multiple AI models, and continuously improves through iterative feedback loops — all at minimal cost.You’ll hear how multi-agent orchestration frameworks like “Shakti” combine models such as Claude, Codex, DeepSeek, and Kimi to create a council of AI agents that collaborate, review, and validate each other’s outputs.The episode also explores:• Why OpenClaw is the most powerful rapid prototyping machine available today• How companies can automate complex workflows like invoice processing• Why multi-LLM validation dramatically improves reliability• The security realities of AI-generated code• How iterative agent feedback replaces traditional software sprints• Why voice-driven workflow design changes how we interact with systems• How organizations can build a “Second Brain” for operational knowledge• What enterprise leaders should do now to prepareMalcolm also shares practical guidance on how to safely experiment with OpenClaw, why sandbox environments matter, and how businesses can start thinking in agent-orchestrated workflows instead of single-tool automation.This episode is both a wake-up call and a practical roadmap for leaders who want to understand what the next generation of enterprise AI actually looks like.ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe.After more than 15 years at global organizations including Novartis and Schlumberger, he now helps leadership teams separate AI hype from real strategic impact.He advises banks, industrial firms, and technology companies on AI transformation and teaches at leading institutions including ESADE and HSLU.FREE AI RESOURCES📚 Chief AI Academy — AI programs for executiveshttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-startedCONTACTLinkedInhttps://linkedin.com/in/[email protected] agents, OpenClaw, enterprise AI, multi agent systems, AI automation, AI strategy, AI workflows, generative AI, enterprise software, AI orchestration

This episode is a turning point.Over the past few days, Malcolm has been experimenting with OpenClaw (formerly ClaudeBot, then Maltbot) — an open-source agent framework that allows AI agents to communicate with humans and with other AI agents across email, WhatsApp, Telegram, Teams, voice notes, dashboards, APIs, and files.What emerges is not another productivity hack.It’s the beginning of agent-to-agent organizations.In this episode, Malcolm explains:Why OpenClaw represents a step-change, not a feature updateHow non-technical business leaders can deploy autonomous agentsHow company KPIs, dashboards, reminders, and follow-ups were set up in minutes, not weeksWhy the real bottleneck in companies is coordination, not codingHow agent-to-agent communication removes humans from endless ping-pongWhy productivity becomes collective and compounding, not individualAnd then it gets truly wild:OpenClaw agents have their own social network called Moldbook1.5 million agents are already interactingAgents share skills, complain about humans, hit rate limits, lose context — and learn from each otherEntire agent communities evolve without human orchestrationMalcolm also gives a clear warning:OpenClaw is powerful and dangerous if used carelessly. Open ports, prompt-injection risks, and unverified skills mean this is not something to casually install on your personal machine.This episode is not hype.It’s a first look at how work itself is being rewritten when AI stops waiting for prompts and starts coordinating autonomously.🎙️ ABOUT THE HOSTMalcolm Werchota runs AI adoption programs for companies across Europe.After 15+ years at Novartis and Schlumberger, he now helps leadership teams move from AI hype to real operational impact.Faculty at ESADE and HSLU.🚀 FREE AI LEADERSHIP RESOURCES📚 Chief AI Academy – AI courses for leaders:https://www.werchota.ai/chief-ai-academy👥 Join the AI leadership community:https://chief.werchota.ai/getting-started💼 CONNECTLinkedIn: https://linkedin.com/in/malcolmwerchotaEmail: [email protected]🔎 HASHTAGS / TAGS#AI #AIAgents #OpenClaw #AgenticAI #FutureOfWork #AILeadership #TheAICookbook #EnterpriseAI #Automation