
AI Is Rewriting Due Diligence & How We Acquire Businesses - Here’s How Buyers Win or Lose with Haytham Allos
Buying Online Businesses PodcastShow Notes
Most buyers are still doing due diligence like it's 2015. And the ones who know how to use AI? They're finding better deals, faster, and you'd never even know they were looking. In this episode, Jaryd sits down with Haytham Allos, M&A strategist, AI specialist, and one of the minds behind one of the world's first AI-powered law firms, to pull back the curtain on what's actually happening right now at the intersection of artificial intelligence and buying businesses. And it gets wild. We're talking AI agents that evaluate deals. Smart contracts that close them. Fractionalised ownership that lets someone invest in a business for as little as $50. A future where your AI agent negotiates with the seller's AI agent, and a human just says yes or no at the end. But before we get there? Haytham breaks down what's happening right now. Why most buyers are still flying blind, why AI without the right prompting is actually dangerous in a deal, and the one thing that kills more mergers than bad financials ever will. You'll discover why prompt engineering is the most underrated skill in acquisitions today, how to use AI to get an unfair edge in due diligence without replacing your gut instinct, and exactly where the smart money is already moving. This isn't theory. This is where M&A is heading, and the buyers who understand it now are going to own the next decade. Hit play. Your competition probably already has. 🎧
Episode Highlights 05:45 The Chainsaw Analogy: Why AI Without Experience Is Genuinely Dangerous in a Deal 09:08 The Hallucination Problem: Why AI Can Lie to You During a Deal and How to Stop It 13:57 Where AI Creates the Biggest Unfair Advantage in the Acquisition Process Right Now 16:43 Prompt Engineering: The Most Underrated Skill Every Serious Buyer Needs to Master 19:44 The Rise of Agent-First Companies: What Cursor AI's $2 Billion Valuation Tells Us About the Future 22:31 The Mindset Shift Every Business Owner Must Make or Get Left Behind 28:16 AI Agents Buying From AI Agents: The Future of M&A Is Closer Than You Think 31:12 Smart Contracts, Crypto Wallets and the Death of Bureaucratic Deal Making 35:43 Fractionalised Business Ownership: How Anyone Could Invest in a Business for $50
Key Takeaways ➥ AI without experience is like handing a chainsaw to someone who's never cut down a tree. Powerful tool. Dangerous hands. ➥ AI will hallucinate during your due diligence. If you don't know how to configure it correctly, it will confidently lie to you about the business you're about to buy. ➥ Prompt engineering is the most underrated skill in acquisitions right now. The quality of your questions determines the quality of your deal. ➥ The number one reason mergers fail isn't bad financials. It's people, politics, and ego. AI is quietly removing all three from the equation. ➥ We are shifting from AI that answers questions to AI that takes actions. The buyers who understand that difference right now will have an unfair advantage for the next decade. ➥ Smart contracts, crypto wallets, and blockchain are about to collapse the layers of bureaucracy that slow every deal down. The merger process, as we know it is on borrowed time. ➥ Fractionalised ownership is coming to business acquisitions. You won't need six figures to get into a deal. You'll need the right agent and the right wallet. ➥ The future of M&A is two AI agents negotiating a deal, presenting it to their humans, and closing it on the blockchain before a bank even answers the phone.
About Haytham Allos Haytham Allos is an M&A and AI strategist focused on how artificial intelligence is transforming the buy-side deal process. He works at the intersection of technology, data, and acquisitions, helping investors and acquirers use AI to enhance due diligence, identify hidden risks, and make better capital allocation decisions. Haytham specializes in applying AI tools across deal sourcing, financial analysis, operational review, and post-acquisition deci
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