For years, enterprises have tried to make customer service faster — automating workflows, tightening SLAs, launching 24/7 chatbots. Yet customers still wait — not only for responses, but for reassurance that someone understands. Speed alone doesn’t feel like care anymore. Because real-time isn’t defined by seconds — it’s defined by intelligence that understands intent and acts with empathy. That’s the new frontier of customer experience emerging through Agentic AI for customer service — a system of intelligent agents that doesn’t just respond instantly but reasons, learns, and collaborates with humans to make service truly real-time. Are We Solving Problems or Just Replying Faster? Most customer service journeys still begin the same way they did a decade ago — a ticket raised, a call logged, an email sent. Every step that follows is a reaction. Agentic AI for customer service redefines that flow. Instead of waiting for a customer to report an issue, intelligent agent...
We are almost at the end of the 2025 second quarter, and the CIO forums' discussions have shifted from experimenting with AI to incorporating AI into the core. The discussions have evolved from virtual assistants to AI assistants . Today, the competitive advantage lies not in experimenting with AI, but in quantifying its value and proving its impact across sales, HR, IT, and customer support. For business leaders, ROI is the ultimate lens that distinguishes between hype and the true AI transformation. The primary step to move up the ladder from AI pilots to strategic ROI is to define the potential use case. This article explores how to define, measure, and communicate the ROI of AI assistants through frameworks, KPIs, and real-world examples, so executives can lead AI adoption with clarity and confidence. We have also decoded a Boardroom-ready equation for the ROI. Why ROI matters more than anything else? For today’s CIOs and business leaders, ROI is the ultimate proof point. It’s...