Innovation Unpacked | Mike Boysen

Over 20 years ago I spent 3 years in the insurance industry (a general agency). This is only important because the topic of this research is also related to the insurance industry. And more importantly, at that time I proved the exact thing that this research uncovers. Trust through visibility is the answer. I implemented a system that solved a huge problem for my employer. We had an incessant flo...

Free Access to Research Artifact If you point an LLM at the public internet, you get pattern-matching and slide-deck filler—a race to the middle executed at lightspeed. In modern strategy, the model is not the moat; the proprietary data payload you query is. To prove this, I’m opening my research vault: every week, I compile a complete, industry-wide research payload (job maps, physics floors, and...

Free Access to Research Artifact If you point an LLM at the public internet, you get pattern-matching and slide-deck filler—a race to the middle executed at lightspeed. In modern strategy, the model is not the moat; the proprietary data payload you query is. To prove this, I’m opening my research vault: every week, I compile a complete, industry-wide research payload (job maps, physics floors, and...

Every year, global enterprises deploy hundreds of billions of dollars into managing their customer relationships. We build elaborate voice-of-the-customer programs, mandate front-line empathy training, purchase premium customer relationship management (CRM) platforms, and monitor real-time sentiment dashboards. Yet, despite this historic capital allocation, actual customer service quality routinel...

You should read to the end . There is a special link to the research backing this up. First Principles, Job Maps, Moats. Oracle. No email required. 👇 Heck, for those that can’t wait, here’s the link The Handoff Paradox: Why the Most Expensive Moment in Business is the Second a Meeting Ends What’s the most expensive moment in a modern business enterprise? It isn’t the high-stakes executive alignme...

The 2017 “Stall Point” and the Invisible ARPU Collapse Telecommunications is the invisible foundation of the modern world. It is the central nervous system of global commerce, the substrate upon which the entire AI revolution is being built. Yet, beneath the surface of high-definition video streams and near-instantaneous global connectivity, the companies providing this foundation are in a structu...

The following is a brief summary of an intense evaluation of the structural inefficiencies trapping trillions of dollars in the private secondary market and proposes a centralized digital auction infrastructure to automate compliance, eliminate predatory discounting, and unlock limited partner liquidity. It rejects the following assumptions: * The Traditional Industry Narrative: It rejects the lon...

Today I’d like to introduce you to a podcast that is derived directly from an analysis performed by the platform I’ve developed - called Venture Proof. Shortly, I’ll be publishing a demo overview of the platform using this exact case, so it’s worth listening to even if you aren’t a professional in healthcare, or HealthTech / Medtech. I could have easily produced this — or helped you produce a 100%...

The Empowerment Promise & The “Near Miss” Let’s get straight to it. In the next few minutes, I’m going to show you exactly how to stop burning millions of dollars on post-meeting data debt. We’re going to deconstruct the actual job of a meeting, size the exact friction it causes, and build an automated workflow that does the heavy lifting for you. If you manage a team of professionals, you need th...

Empowerment Promise You’re about to learn how to shatter the “siloed customer experience” without buying another bloated $500k-a-year enterprise software platform. By the end of this guide, you’ll possess the exact architectural blueprint to calculate the true cost of your data friction, avoid the infinite-volume trap of AI copilots, and design a zero-latency, Human-in-the-Loop orchestration engin...

The Empowerment Promise & The Oracle Fiasco I’m going to make a promise to you right now. If you give me your attention for the next few minutes, you’re going to walk away knowing exactly why ninety percent of the AI co-pilots being built today are a complete and total waste of capital. More importantly, you’ll learn a precise, physics-based method for architecting artificial intelligence that act...

The Empowerment Promise & The Decade of Lost Bandwidth Listen closely, because I’m going to show you exactly why the tech industry just burned ten years trying to make customer support bots sound like empathetic humans. More importantly, I’m going to give you the exact framework to stop bolting generative AI onto your “Contact Us” page and start architecting silent, automated engines that actually...

Introduction: Ditching the “Blank Canvas” BS Let’s get one thing straight right out of the gate: staring at a blank whiteboard hoping for a lightbulb moment’s a complete waste of your time. We’ve all been in those agonizing corporate brainstorming sessions where someone slaps a sticky note on a wall and says, “Our UX sucks, how do we fix it?” It’s a lazy, useless diagnosis. It’ll get you absolutel...

When you’re chasing innovation, failure is rarely the result of a deficit in engineering talent or a lack of financial resources. More often than not, products fail because highly capable teams build brilliant, flawless solutions for completely the wrong problems. The Jobs-to-be-Done (JTBD) framework was designed to prevent exactly this by shifting the focus from the product to the underlying huma...

Introduction – The Allure and Trap of the “Co-Pilot” Walk into any enterprise boardroom today, and the air is thick with a singular, overriding technological mandate: We need an AI Co-Pilot. The pitch practically writes itself. Faced with sprawling legacy systems, complex operational workflows, and employees drowning in digital friction, the modern executive is desperate for a lifeline. Enter the...

Executive Summary: The TL;DR The traditional fee-for-service healthcare system fails vulnerable populations through massive Lean Wastes in transportation, overprocessing, and fragmented care. While bringing care into the home solves initial access friction, it creates a fatal elasticity volume threat: if localized care becomes frictionless, demand for human attention will scale infinitely, instant...

Y-Combinator is currently looking for startups to solve this problem. However, I’m 99% sure that when they find one with a polished 15-slide deck, the pitch will be for a SaaS app with a non-existent moat. Is this the realm of 24 year-olds who learned to code, or something else? Find out. 👇 TL;DR Right now, global business is trapped between slow, expensive traditional banking rails and fast but...

The State 3 Empirical Anchors (The Bedrock Reality): * [The Hard Financial Baseline]: The current average rate for a mid-level U.S. freelance performance video editor is ~$35/hour, establishing the absolute human labor floor Icon was competing against. * [The Market/Unit Evidence]: In 2025/2026, the average market rate for a single human-produced UGC video ad is $198. This is the exact price-to-va...

TL;DR: Current prediction markets waste massive amounts of time and money by relying on human lawyers to manually approve betting contracts. This manual review costs $12,000 and takes weeks per market, creating a massive efficiency gap when specialized computers can do the same job in a microsecond for a fraction of a penny. To survive, the company must disrupt the market by letting large business...

TL;DR: The Autumn Strategy AI companies are bleeding engineering hours trying to force compute-heavy, usage-based token models into legacy billing systems like Stripe. This mismatch creates a massive efficiency gap, forcing $300/hr L3 engineers to spend weeks building brittle Postgres tables and webhooks just to manage credits. The optimal fix is a structural labor inversion: replacing bespoke bac...

Chapter 1: The Socratic Deconstruction of “Agentic Drug Discovery” Let’s get brutally honest about the reality of AI in pharma. Generating a novel molecule in three weeks feels like magic, but the FDA doesn’t care how fast your GPUs run. If your “agentic” drug fails in a human liver five years from now, you still burn billions. We need to strip away the Silicon Valley hype, kill the assumptions, a...

Chapter 1: Why Past Pain Points Guarantee Future Failure You’ve been lied to about how innovation actually works. Corporate strategists love to dig through old survey data, hunting for customer complaints about existing products as if those gripes hold the secret to the future. They don’t. We’re going to stop obsessing over what went wrong yesterday and start mathematically isolating exactly what...

The software industry is stuck in a costly trap where we believe humans must manually type code to create applications. This approach forces us to pay expensive professional rates for typing tasks that AI can perform for less than a penny. To solve this, we must adopt "Vibe Coding," a new method where humans describe their ideas in plain English and AI handles all the technical construction. Part...

Companies are currently failing by forcing fast AI agents to use slow, centralized data warehouses, which creates a massive bottleneck. This traditional approach costs roughly $12,000 per data feed, making it 1.2 million times less efficient than letting an agent query data directly for just one penny. To fix this, businesses must switch to a "Newsroom" model where agents access raw data at the so...

The pharmaceutical industry relies on patients to take daily pills, but this manual process fails half the time because human memory is unreliable. This design flaw creates a massive efficiency gap where patients perform unpaid work to manage their health, costing billions in preventable emergencies. Instead of creating apps to nag patients, companies must switch to autonomous implants and injecta...