Beyond adoption: the three shifts needed for accountable federal AI | FedScoop
PushButton AI Team ·
Beyond adoption: the three shifts needed for accountable federal AI | FedScoop
Buying an AI tool is the easy part. Making it actually work for your business — that's where everyone gets stuck.
If you've paid for software your team quietly ignores, you're not alone. Most busines
Buying an AI tool is the easy part. Making it actually work for your business — that's where everyone gets stuck.
If you've paid for software your team quietly ignores, you're not alone. Most business owners in your position made a reasonable bet and got a disappointing return. That doesn't make you tech-stupid. It makes you a smart buyer who got sold a solution instead of a strategy.
Here's what the U.S. federal government just figured out after years of AI adoption across hundreds of agencies: having tools isn't the problem. Accountability for outcomes is.
They identified three shifts that matter — moving from "we deployed it" to "we can prove it's working." Same principle applies to your business. The question was never which tool you bought. It's whether anyone owns the result.
Most AI projects fail not because the technology is bad, but because nobody defined what success looks like before signing the contract.
One simple fix you can apply this week: before evaluating any AI tool, write down the one business problem it must solve and the number that proves it's working. That single step filters out 80% of the noise.
What's the AI tool your team was supposed to use but doesn't?
After several years of embracing and implementing AI tools across the U.S. government enterprise, we are left with a surplus of solutions, from the ...
