Why McKinsey Advises Focusing on Greenfield AI-First Processes to Achieve Value

Why It Matters

Targeted AI‑first transformations can unlock outsized efficiency, reshape outsourcing economics, and deliver rapid ROI for enterprises.

Key Takeaways

• Focus on 2‑3 high‑impact AI domains, not scattered pilots
• Greenfield redesign yields >50% productivity gains in call centers
• Spend $2‑3 on change management for each $1 on tech
• Negotiate outsourcing contracts for 30% AI‑driven efficiency

Pulse Analysis

Enterprises are racing to embed artificial intelligence into service operations, yet adoption is uneven. Tasks that are highly structured and rule‑based lend themselves to rapid AI deployment, while judgment‑heavy activities lag behind. McKinsey’s service‑operations practice highlights three activity types—rule‑based, deterministic, and probabilistic—and argues that firms should zero in on a few domains where AI can deliver decisive gains, such as customer‑care call centers and back‑office recruiting. This focused strategy avoids the dilution of resources across too many pilots and aligns technology with clear business outcomes.

Rosendahl champions a greenfield, AI‑first redesign rather than incremental brownfield upgrades. By re‑imagining processes from scratch, organizations can embed agentic AI—conversational agents that move beyond human‑in‑the‑loop models—directly into the workflow, unlocking productivity improvements that can exceed 50% in certain functions. Crucially, he warns that technology spend alone is insufficient; firms should allocate two to three dollars in change‑management for each dollar invested in AI to ensure adoption, training, and cultural alignment. This disciplined investment model accelerates ROI and mitigates the risk of half‑baked pilots.

The ripple effect extends to outsourcing and offshoring arrangements. As AI‑first initiatives drive measurable efficiency, clients are pressuring suppliers to meet targets—often demanding a 30% productivity uplift or risking contract re‑tendering. This shift forces traditional outsourcing players to evolve from low‑value, repeatable task providers to AI‑enabled partners. For CEOs, the prescription is clear: pick high‑value processes, redesign them with AI at the core, fund the accompanying change effort, and leverage the leverage point of outsourcing contracts to cement competitive advantage.