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Teams are spending as much as 71% of their time on administrative tasks and manually entering data. But what if there was a way to automate all their repetitive work so they could focus on performing higher-order tasks, creating value, and driving actual ROI? That’s what AI agents can do for you.

AI agents are all the rage these days. Poised as the next big thing after Gen AI…is there substance underneath all the hype? The answer is a resounding yes. For instance, the 2024 State of AI Agents report revealed that 51% of AI professionals are already using AI agents, while 78% of enterprises and mid-sized companies have active plans to put AI agents into production. However, doing this successfully requires paying attention to certain key factors.

The workplace is on the brink of a transformation unlike anything we’ve seen before. With the rise of AI agents—autonomous software entities capable of executing tasks, making decisions, and even optimizing workflows—the way we define work itself is evolving. While automation and AI-assisted processes have been gradually reshaping industries, the concept of the agentic enterprise takes this a step further, shifting from AI as a tool to AI as an active participant in business operations.

Artificial intelligence (AI) is no longer a futuristic concept—it’s here, and it’s transforming the way enterprises operate, innovate, and compete. From automating workflows to delivering data-driven insights, AI is reshaping industries and creating new opportunities. But as AI becomes more integrated into our lives and businesses, a critical question arises: Who owns and controls the AI agents that are increasingly making decisions on our behalf?

We’ve all heard of digital assistants that perform specific tasks based on our requests. But what if these digital assistants could operate with ever more autonomy? While this requires an intelligent system, such as an autonomous AI agent, capable of recognizing opportunities and acting on them without constant human input or explicit instructions, the good news is that organizations no longer need specialized developers to build their own agents.

Since Generative Artificial Intelligence (GenAI) captured mainstream attention a few years ago, businesses have been looking for ways to implement AI into their operations. There are some obvious reasons for this shift: saved time, increased productivity, and decreased need for manual effort. But there’s also another factor at play—the realization that not embracing AI now means getting left behind by the competition.

“AI is the new electricity,” as Andrew Ng, Co-founder of Google Brain and Coursera, famously put it, AI is now the driving force behind unprecedented innovation, reshaping everything from healthcare to finance and beyond. All of these sectors revolve around data.

Processes are at the heart of every government organization. They define how work gets done. Whether it’s determining benefits, inspecting food safety, or supporting defense operations, every mission relies on structured workflows to function effectively. Government agencies face unique challenges that impact their processes: Government organizations are increasingly turning to low-code platforms to overcome their operational challenges and increase efficiency.

For today’s IT Director, the pressure has never been greater. Tasked with delivering business-critical technology in a landscape of shrinking budgets and expanding expectations, IT leaders find themselves at the intersection of business demands and technical realities. On one side, C-suite executives and department heads expect solutions that improve efficiency, drive innovation, and deliver competitive advantage.