Teams | Collaboration | Customer Service | Project Management

The term Agentic AI is receiving a lot of attention these days. Gartner listed Agentic AI as a technology trend topic for 2025, and Microsoft introduced agentic capabilities in its Copilot Studio. But what exactly is Agentic AI, and how does it stack up against the popular AI Copilots? While both utilize Generative AI to simplify tasks and enhance productivity, their core capabilities, functionalities, and applications diverge significantly.

According to The Harris Poll, commissioned by Google, 88% of the young leaders surveyed had expressed their desire to use AI for a task that feels overwhelming. Having AI agents at your disposal makes a big difference when you already know that enterprise workflows are unmanageable. One big reason for enterprise tasks being overwhelming is that enterprise information lies in silos.

Since the global pandemic, almost every fabric of the workplace has changed. Today, remote and hybrid setups have become the norm, and employees worldwide expect better support, flexibility, and personalized experiences from their workplaces. In this whirlwind of change, HR teams are now tasked with meeting these growing demands and providing efficient employee support.

AI copilot creates new and innovative opportunities for businesses that want to transform the current state of operations using massive datasets or Generative AI. Commercial products such as GitHub Copilot and Microsoft 365 Copilot amp up our keen interest in Generative AI-powered solutions. GitHub data demonstrated that copilots give massive opportunities to unlock productivity for everyone. It creates a massive knowledge repository for everyone in an organization to find information and work faster.

The emergence of Generative AI pushes for rapid adoption of AI like no other technological innovations in recent times. Everyone wants to use Generative AI for its reasoning, logic, and problem-solving skills independent of human oversight. The wave of opportunities Generative AI brings is clear evidence that AI or GenAI would take very little time to become mainstream. Companies want to train or build proprietary models for various business use cases.

Does your contact center give you what you need to solve your customers’ problems or increase agent efficiency? A contact center with the traditional system can limit customers’ ability to find answers and solve problems autonomously while also adding to agents’ woes. Built on top of Generative AI, a contact center helps transform the customer service experience by making contact centers and their agents more efficient.