There’s a new job function nobody budgeted for: AI babysitter.

Re-prompting. Checking outputs. Feeding context back in. Copying results between systems. Explaining to the AI what it should have known already.

Run the honest math on your team's AI usage. How much of the “AI time” is the AI working, and how much is a person managing the AI?

For most B2G revenue teams, the ratio is upside down. The tool saves 30 minutes of drafting and costs 45 minutes of supervision. Multiply that across every proposal, every account review, every renewal packet. The productivity story falls apart.

This isn't a model problem. The models are good. It's an infrastructure problem. Nobody built the layer that holds the context, applies the approved knowledge, checks the work against your standards, and hands the result to the next step.

So your most expensive people became that layer.

Civio's position is simple: no headcount managing AI instead of working. Our AI teammates come pre-tuned to government sales workflows. Context is organized once, not re-pasted daily. Work arrives completed and ready for review, without anyone asking.

Productivity comes from AI that moves the process forward. Not from AI that hands you homework.

Track one metric next sprint: minutes spent managing AI vs minutes AI saved. If you don't like the answer, the problem isn't your people.