Episode #42 - AI Solutions, Portfolio Strategy, and Build vs. Buy

Episode 42: Stop Hammering Nails with a Chatbot — How to Match the Right AI to the Right Problem

Is your organization falling into the most expensive trap in corporate AI today — throwing large language models at every single business problem, whether they fit or not? In this episode of The AI Strategy Blueprint, host Lara Wilson unpacks Chapter 14 of John Hanby's groundbreaking book and delivers a clear, no-nonsense framework for understanding the real taxonomy of AI solutions — and why getting this wrong is costing companies millions.

Lara walks through the three major categories of AI tools every executive needs to know: AI chat assistants (including local, air-gapped solutions that deploy to 100% of your workforce for less than the cost of giving cloud AI to 20%), workflow automation platforms like N8N that can generate over 100 SEO-optimized articles in a single weekend without writing a single line of code, and the jaw-dropping world of agentic coding tools like Cursor and Claude Code — where Anthropic's own internal data shows Claude writing approximately 90% of its own code. What would a 3–5x developer productivity multiplier mean for projects you've had to shelve?

But knowing these tools exist is only half the battle. The real strategic challenge is acquisition — and that's where John Hanby's Build, Buy, or Partner matrix becomes essential. Should you really be hiring twenty machine learning engineers to build a custom AI when a proven vendor solution could be live tomorrow? Lara breaks down exactly when each path makes sense, using a corporate real estate analogy that will make the decision instantly clear for any C-suite leader.

Overarching it all is the Three-Horizon portfolio framework: 60–70% in proven Horizon 1 quick wins, 20–30% in customized Horizon 2 workflow automation, and a disciplined 10–20% maximum in the high-risk, high-reward Horizon 3 experiments. Lara explains why skipping straight to the sci-fi agentic demos — the ones that wowed you at the last conference — is a direct path to the ""perpetual pilot trap,"" where two million dollars disappears over twelve months and zero business value reaches your front-line workers.

The companies winning the AI race aren't the ones with the most machine learning engineers — they're the ones with the discipline to treat AI as a strategic portfolio. If you're ready to de-risk your AI transformation and actually see ROI while your competitors are stuck chasing shiny demos, this episode is your blueprint. And if you think you already know the right balance between build, buy, and partner — Lara's framework might just change your mind. Learn more at https://iternal.ai/ai-strategy-blueprint