درباره این اپیزود
The average worker toggles between systems 1,200 times a day — nearly every 24 seconds. That's almost four hours a week lost just to switching between tools.
So why are most companies throwing AI spend at the problem without asking what's actually causing it?
In Episode 20 of Train to Gain, Katie sits down with Mark Ramsey, COO of H2 Infrastructure and Founder of Markeri Consulting, to talk about what it really takes to implement AI in a way that drives efficiency, scales your organization, and doesn't just become a very expensive Google search.
Mark introduces the concept of "Leader AI" — a specialized AI system built around your company's unique knowledge, roles, and processes — and why generic, plug-and-play AI tools can't get you there. He and Katie also dig into why documenting your institutional knowledge isn't just a training exercise. It's the foundation your entire AI strategy depends on.
---
WHAT YOU'LL LEARN
- Why most AI spend doesn't actually solve the efficiency problem it's meant to fix
- What "Leader AI" is and how it differs from standard LLMs and off-the-shelf tools
- Why your institutional knowledge has to be documented before AI can scale it
- How to identify the right starting point for AI implementation in your organization
- What "AI as an operating system" means — and why it's the next major shift coming for businesses
- How B-Lynk is helping companies document roles and processes to prepare for AI at scale
---
KEY TAKEAWAYS
- Generic AI is just a fancy Google search. Plug-and-play tools and basic LLMs can surface information, but they can't replicate the way your organization actually operates. That requires something much more specific.
- You have to train AI like a new employee. The depth and breadth of what your AI knows is no more or less than what you give it. Surface-level SOPs produce surface-level results.
- Start with one problem, not a budget. "Go get us AI" is not a strategy. Identify one real pain point, solve it, and build from there.
- Documenting institutional knowledge is step one. Before you can build a Leader AI, you have to sit down with Suzy in accounting and ask exactly what she does and how she does it. Every step. Every workaround.
- AI as an operating system changes everything. When AI is embedded into how a company runs — not just used as a helper tool — it will surface problems you didn't even know you had.
