AI in Government: Where It Actually Delivers Value (and Where It Doesn’t)

AI is dominating every government conversation right now – from vendor pitches to board meetings to budget hearings. But between the headlines and the hype, one question keeps getting lost: where does AI in government actually deliver value?

In our recent webinar in Microsoft’s Top-of-Mind Tuesday State and Local Government Solution Showcase Series, “Beyond the Buzzword: Where AI Actually Delivers Value in Government,” OnActuate and Microsoft set out to answer exactly that. Here are the takeaways worth your time.

Everyone wants AI. Far fewer have a plan.

The numbers tell the story. In a recent Deloitte study, 79% of government executives called AI a priority – yet only 38% have a formal AI strategy in place. That gap is where most agencies get stuck: enthusiasm is high, but the roadmap is missing.

One more stat worth sitting with: 60% of leaders name data quality as the #1 barrier to AI adoption. AI is only as good as the information it can reach – and for many agencies, that foundation is still being built.

Your agency isn’t starting from zero

One of the biggest misconceptions we hear is that adopting AI means starting over. It doesn’t. Most public sector organizations already sit somewhere along a modernization curve – from paper-based, to digitized, to automated, to data-driven, to AI-enhanced. Most are further along than they think.

Why does that matter? Because AI amplifies modernized processes – it doesn’t replace them. In fact, one figure stood out: agencies see up to 3x the ROI when AI is paired with process redesign rather than bolted onto broken workflows.

Not every problem needs AI (yes, really)

Here’s something you won’t hear from most technology vendors: sometimes the right answer isn’t AI at all. In the webinar, we walked through a simple way to match each challenge to the right response – ranging from turning on features you already own, to automation, to custom development, to AI agents… all the way to “do nothing for now” when the business case isn’t there.

That discipline – start with the problem, not the technology – is what separates real results from expensive experiments.

What “real value” actually looks like

We shared a few real-world outcomes to make it concrete. A public sector finance team layered AI-driven invoice capture on top of a redesigned accounts-payable process and cut manual data entry dramatically. A global nonprofit compressed a development cycle from three months to two days – freeing staff to spend more time on mission, not paperwork. 

The common thread, as one speaker put it: chase outcomes, not AI. (We’re holding back the full breakdown – those numbers are worth catching on the recording.) 

Should you invest in AI now – or wait?

Before you commit budget, it’s worth pressure-testing the case. Some signals point clearly toward investing now – repetitive, high-volume work; errors that carry compliance or financial risk; capabilities you already own but haven’t switched on. Others say wait – an infrequent task, a process that isn’t stable yet, or a platform update that’s about to solve it for you. Knowing the difference is what keeps a promising idea from becoming an expensive one. 

You don’t need to figure this out alone

Once you’ve spotted the processes worth pursuing, our complimentary AI Readiness Workshop is the guided next step. In a single session, our team helps you document your pain points, prioritize them by impact, and map each one to the right solution – AI or otherwise. No pressure, no jargon. 

→ Book your complimentary AI Readiness Workshop: onactuate.com/ai-readiness-workshop