Without effective governance and an agentic architecture, however, this scale can lead to “agent chaos” through redundant builds, inconsistent quality, and unmanaged risk. To scale effectively, leading companies are standing up agent factories: dedicated hubs that industrialize how agents are built, deployed, and governed. These hubs standardize reusable blueprints, shared data products, and guardrails for security and compliance. And the standardized agents they build are assigned clear, role-based responsibilities, so that lead agents orchestrate work, practitioner agents execute tasks, and QA and compliance agents monitor performance. Several global banks exemplify this approach, standing up agent factories to transform their due-diligence processes. Each factory deploys agent squads to handle discrete steps, from data extraction to validation and quality assurance, reducing manual work while improving accuracy and control. A leading North American manufacturer of outdoor lifestyle products applied similar principles to customer service. According to McKinsey analysis, after analyzing more than 30,000 service tickets and call transcripts, the company redesigned the function so agents handle diagnosis, data retrieval, and summarization, while humans focus on empathy and resolution. Adoption succeeded through a tailored change-management program that included leaders being trained on KPI dashboards, frontline staff receiving job aids for AI-assisted workflows, and technical teams learning model maintenance and tuning. Continuous feedback loops and shared dashboards keep both human and digital agents aligned to drive faster resolution times, higher satisfaction, and measurable revenue uplift. As these systems mature, the differentiator becomes human capability. The role of people shifts from completing tasks to supervising, refining, and improving how the work gets done. Managers and specialists must learn to delegate to agents, review outputs, identify exceptions, and guide learning loops. Emerging skills—such as prompt design, outcome tracking, and escalation management—are fast becoming core to modern growth roles. Many organizations already target 25 to 50 percent of employees to work regularly with agentic AI—a clear signal that fluency in collaborating with AI is becoming a defining business capability. One year into the agentic AI era, the lesson is clear: growth won’t come from tools alone but from how leaders choose to build and deploy them. Competitive advantage will depend not on how many agents a company launches but on how effectively they are designed, managed, and scaled . The companies pulling ahead are already putting new mindsets into practice. This is only the beginning of the change that agentic AI will bring—larger questions will soon loom, including: — When your sales agent negotiates with your customer’s buying agent, how will your Agents for growth: Turning AI promise into impact 6 company differentiate itself?