Scaling AI Requires New Processes, Not Just New Tools

Key Takeaways

Companies deploying AI agents at scale need to redesign their end-to-end processes if they want to achieve the promised step changes in productivity and value creation. Key decisions include:

• Managing Change. This starts with an open mind about all value-creating steps to find the optimal end-to-end process design.
• Platform Versus Product. The optimal fit for deploying agents can range from single AI agents solving specific issues to multiple networks of agents collaborating across the organization. Leaders must decide whether to use decentralized agents or adopt a centralized infrastructure.
• Build Versus Buy. The complex trade-offs in this decision—including upfront and ongoing costs, speed to deployment and scale, the ability to innovate, and the need for control...