Stop automating inefficiency and scale AI the right way
Surasak Suwanmake/Getty Images
ByMeredith Delaware,
Vice President, PCI Government Services
June 25, 2026 04:25 PM ET
COMMENTARY | Four operational realities that agencies must address before AI can deliver mission impact at scale.
Federal agencies have spent the last few years launching artificial intelligence demos and investing in pilot programs. You would expect that we'd be further down the road by now, but the reality is that turning isolated experiments into reliable, repeatable operations isn't easy. It's particularly difficult to do so without creating a massive security, compliance, or sustainment burden.
The goal for 2026 isn't just to acquire and stockpile more AI tools. We need better integration to drive faster cycle times, increased accuracy, and fewer backlogs in mission-critical workflows. We have to treat the technology as a fundamental operational shift. This means aligning the use case to a real process, ensuring the right data is prepped...
Copyright of this story solely belongs to nextgov.com. To see the full text click HERE