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A new MIT study reveals 95% of gen AI pilots fail. But that’s not an AI problem. It’s an implementation problem. The real issue is the messy, fragmented way AI is used. Too many organizations treat AI as a helper on the sidelines—chatbots, copilots, and assistants that wait to be called upon. While helpful, this approach barely scratches the surface of what’s possible. Real transformation happens when AI is embedded directly into the core operations of your enterprise.

How to make your enterprise data accessible, usable, and insightful.

Ask anyone who has wrestled with legacy contract lifecycle management (CLM) software what frustrates them most, and you’ll hear a familiar refrain: “I can’t see what’s going on.” Whether it’s a missing status update, a buried clause, or an unexpected bottleneck, lack of visibility in the contract lifecycle slows deals, increases risk, and erodes trust between teams. But “visibility” is more than a buzzword.

You've heard the promises. You've seen the hype. Every vendor is pitching "AI-powered, synergistic, next-generation" automation. But you're still asking the same question: "When do we see the results?" The truth is, AI is only as good as the action it enables. It's not about chasing shiny objects; it's about solving real-world business problems—eliminating bottlenecks, delighting customers, and making your operations smarter and faster. That's where we put our focus.

Automation has long been a key driver of efficiency. Traditional RPA and IDP technology promised to relieve carriers from rekeying, extracting data from forms, and other repetitive tasks. At Appian, we saw early that automation in isolation doesn't achieve transformative outcomes. Why? Because AI has too often been deployed at the edges of workflows: copilots, chatbots, or analytics dashboards that assist us when prompted.

In insurance, the claims process is the real “moment of truth.” It's when customers find out if their insurer is truly there for them. They don’t just want fair treatment—they also expect their claims to be handled quickly and easily. But the reality? Claims often take way too long because of outdated, clunky processes. And the growing tsunami of data needed to adjust a claim can create information overload for an adjuster.

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.