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In March 2024, the European Union passed the AI Act. This sweeping regulation reshapes how organizations deploy and manage AI systems. The law addresses AI risks that could affect both individuals and businesses, from hiring biases to critical infrastructure failures. Similar rules have started taking shape across the world, including several state-based regulations in the US. But the regulation is only the floor. We all share the responsibility of creating a safe, responsible AI future.

AI is a groundbreaking technology that is ready to modernize the way federal government agencies operate. By automating tasks and optimizing workflows, artificial intelligence (AI) promises to enhance efficiency, minimize errors, and boost productivity without adding resources. But as with any change—and especially one as transformative as AI—leaders need to take deliberate and cautious steps to ensure a smooth integration of these innovations and to gain the buy-in of government employees.

To be good stewards of taxpayer dollars, state and local governments conduct market research and perform due diligence before purchasing a software solution. Commercial off-the-shelf (COTS) products are often positioned as offering the best price tag and the fastest deployment. However, the promise of a speedy installation often goes unmet.

Hot on the heels of Appian World, the Appian 25.2 release delivers new AI capabilities that do regular jobs with superhuman efficiency. “It’s simple, even boring. . . but gets exceptional results,” said Appian CEO and Founder, Matt Calkins, on the main stage. That’s because Appian is focused on delivering AI value, not hype. By putting AI in the center of work—in your processes—AI can have transformative effects that go beyond one-off projects or personal productivity.

In the fast-evolving world of data engineering and operations, agility is no longer optional—it’s a competitive necessity. Organizations are under pressure to deliver real-time insights, automate repetitive tasks, and streamline business processes faster than ever. But traditional, code-heavy development cycles can’t keep up with this pace, especially when every change request adds to your backlog and dev cycles stretch into weeks.

AI has evolved rapidly—from basic algorithms that suggested content to generative models that create it. Now, we're entering the AI agent era. AI agents refer to sophisticated AI systems that use reasoning and iterative problem solving to achieve specific goals. Instead of waiting for instructions, they adapt and take initiative. Agentic AI has transformative potential for enterprises.