You can’t merge AI with old habits. When you try, it peeps like a dog in a race car.
I have found that letting AI drive takes three simple moves:
1. Put every piece of knowledge where it can be indexed by AI—code, emails, calls, the sticky note on your monitor.
2. Remove the glue work built for humans—expense forms, status decks, Linear hand-offs.
3. And most importantly, rebuild anything that slows it down, even if it means tearing up systems you just paid for.
Do those and something odd happens: meetings get quiet. Nobody asks “What’s going on?”—AI has already told them.
The hard part isn’t the tech. It’s admitting the tech was never the bottleneck—workflows were.
Everything points one way: toward AI.
I like to think of VECTOR as company memory turned inside out. Every note, commit, and contract becomes a vector that a LLM can pull at will.
Just as our brain stitches random scraps of information—last week’s hallway chat, a bug from June, an email from a cranky customer—AI can too, but only if it sees the scraps.
The kernel of the problem is this: those scraps live in twenty tools and a hundred formats. Until you merge them, AI is blind.
1 – Expose the haystack. Dump every doc, chat, and log into a single vector store. AI should answer, “Remember when we broke billing?” without you hunting through Slack.
2 – Kill human glue. Forms, hand-offs, status decks exist because humans can’t hold the whole state. AI can. Let code talk to code.
3 – Rip out speed bumps. If a tool slows AI, swap it. Yes, the pricey annually-billed SaaS you signed off onlast year.
Companies that figure out AI won’t just have better tools. They’ll be different kinds of companies with a different toolbox. They’ll decide faster because AI can see everything that matters. They won’t repeat mistakes because AI remembers everything. They’ll see patterns humans miss because AI can look at everything at once.
The result is a company that gets smarter over time instead of just bigger. Every decision builds on what came before. Every problem solved makes the next one easier. Every mistake learned makes the AI better at avoiding similar ones.
Step 1: Ingest. Pour every repo, doc, and call into the vector store.
Step 2: Refactor work. Nuke any step that exists only to pass info between humans.
Step 3: Re-wire systems. When AI trips on a tool, change the tool.
Companies that get this right become different. They don’t just have workers—they have human-AI teams where both do what they’re good at. Humans set direction and make judgment calls. AI handles everything else.
The result is a company that gets smarter over time instead of just bigger. Every decision builds on what came before. Every problem solved makes the next one easier. Every mistake learned makes the AI better at avoiding similar ones.
This isn’t about replacing people. It’s about building companies where people and AI work together in a way that makes both better. But it only works if you’re willing to change how your company works.
Most companies won’t do this. They’ll keep trying to stick AI onto their old processes and wonder why it’s not amazing. The ones that do will have a huge advantage.
The future belongs to companies that AI can actually use.