Teams | Collaboration | Customer Service | Project Management

Agentic RAG: A Complete Guide to Retrieval-Augmented Generation

The scenario is like this– In early 2023, GPT, or Generative AI, swept everything by surprise with its content-generation and QnA abilities. For most, it was a transformative shift. However, the limitations of static training data soon emerged. Generative AI exhibited inaccuracy and hallucinations for real-time response generation and autonomous task management with the retrieved information.

Agentic reasoning: The fuel to agentic AI's decision-making

Today, we are at the cusp of another significant advancement in AI, Agentic AI. Agentic AI is autonomous, self-directed, and goal-oriented. Unlike traditional AI, which waits passively for user prompts, agentic AI can execute multi-step tasks, adapt in real-time, and respond with minimal human intervention. Gartner predicts that by 2028, 33% of enterprise software applications will include Agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously.

Agentic Automation: A Complete Guide

We’ve all heard the promise that traditional automation systems, like Robotic Process Automation (RPA) or AI automation, will eliminate manual work and transform your business operations. This stands true, but only to a certain extent. The traditional automation systems run on rule-based, rigid frameworks, which limits their ability to adapt to changing environments and make independent decisions.

AI Copilots vs. Agentic AI: What fits your enterprise best?

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.

AI Agents in Enterprise | Use Cases, Benefits & Future Trends

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.

AI Agents in HR: Use cases, benefits, and future

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.

The Role of AI Co-pilots in IT Operations

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.