Government agencies are hearing the same message from many directions: use AI. Be more efficient. Move forward.
It's good advice. But there's a problem nobody likes to mention.
You can't put a jet engine on a horse cart.
AI needs a modern foundation to run on
AI is the jet engine — powerful, fast, and transformative if you bolt it to something built to handle it. But a lot of government still runs on the horse cart: systems from decades ago, never designed to share data, never built for anything like AI.
Strap a jet engine to that and you don't fly. You just break the cart. That's why so many government AI projects stall. Not because the AI is weak. Because the thing underneath can't hold it.
AI-ready means doing the boring foundation first
The unglamorous part has to happen first. Old systems need to share their data cleanly. Information has to be reachable — not locked in a format from 1995. The connections between systems have to actually work.
That's what "AI-ready" means. Not buying an AI tool. Preparing the ground so the AI can stand on it.
- Audit data accessibility — what can the AI actually reach today?
- Modernize or replace integration layers blocking data flow
- Retire or isolate the oldest systems before they become blockers
- Build the connected foundation, then layer AI on top
Foundation first, then fly
This isn't a reason to give up on AI. It's the order of operations. Fix the foundation — connect the systems, free the data, modernize the riskiest pieces. Then the AI you add actually works, instead of becoming another stalled pilot.
Do it in that order, and the jet engine finally has something to fly on.
Closing view
The goal isn't to skip the boring foundation work to get to the exciting AI. It's to do the foundation work so that the AI is possible at all.
Build the runway before you buy the jet.
