1. Go where the value is Impact begins with identifying where agents can move the needle—whether in conversion, pricing precision, or customer engagement—and deploying them to accelerate those outcomes. Consider personalization, where the opportunity is both proven and profound. McKinsey research shows that 71 percent of consumers expect personalized interactions, and 76 percent become frustrated when they don’t happen. AI-driven personalization can enhance customer satisfaction by 15 to 20 percent, increase revenue by 5 to 8 percent, and reduce the cost to serve by up to 30 percent. Agentic AI makes this possible at scale, using contextual reasoning and real-time decisioning to refine offers, content, and experiences with each interaction. According to McKinsey analysis, a European insurer, for instance, reimagined its sales operation with AI agents that personalized campaigns across hundreds of microsegments, adapted scripts to buyer cues, and coached sales teams with real-time feedback. The result: conversion rates two to three times higher, 25 percent shorter customer service call times, and continuous learning loops that manual reviews could never match. Other organizations are using similar practices with AI to elevate customer experience by anticipating what each customer needs next and delivering it in the right moment. A US airline used predictive insights to tailor compensation for flight disruptions, differentiating between frequent fliers and occasional travelers. The resulting impact was a 210 percent improvement in targeting at-risk customers, an 800 percent rise in customer satisfaction, and a 59 percent reduction in churn among high-value travelers. That same type of intelligence is also proving useful to enhancing pricing. Agentic AI can sense market shifts, model outcomes, and act instantly by adjusting prices or reallocating inventory in real time based on competitor moves, customer behavior, or demand forecasts. Airlines, for instance, are already using agentic AI to create personalized bundles that combine fares, seating, and add-on offers, updating prices dynamically based on live signals such as search trends, weather, and booking patterns. 2. Think in terms of workflows, not agents Organizations realizing meaningful impact from agentic AI are going beyond simply deploying new agents to improve existing tasks; they are redesigning workflows. Agents enhance value creation when used to improve end-to-end processes and journeys through automation and coordination—their power is limited, however, when used to improve isolated steps. Enhancing product discovery, for example, delivers limited impact if purchasing and fulfillment remain slow or disjointed. In traditional processes, work moves sequentially, often across departments: Marketing hands off to sales, service escalates to support, and pricing follows. Each of these functions has made Agents for growth: Turning AI promise into impact 3