The Agent-Centric Enterprise: Why 2–10x Productivity Gains Demand Radical Workflow Redesign
Year: 2026
Type: article
Abstract: Autonomous AI agents are set to radically transform how organizations operate, but most companies today capture only marginal benefits by layering AI onto current, human-centric workflows. Drawing on firsthand transformation cases and benchmark data, we introduce the Agent OS framework and the A.G.E.N.T. playbook as practical tools for building agent-centric enterprises. Through real-world examples – including a global industrial firm that cut audit reporting time by 92%, and a B2B sales team that scaled strategic insight generation – we show how reengineering workflows around autonomous agents can unlock significant productivity gains. We provide a phased roadmap for implementation and highlight the strategic, human, and organizational implications of this shift. The article concludes with concrete steps for leaders ready to build agent-powered organizations. These practitioner-reported outcomes illustrate the potential of agent-centric redesign, while acknowledging the need for systematic replication studies.
Source: Harvard Data Science Review
Authors: Ulla Kruhse-Lehtonen, Dirk Hofmann
Institution: Harvard University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7119064399