"Most organizations are failing at AI because they've misdiagnosed which problem they're trying to solve. Leaders treat AI as a single capability to be deployed across the business. In reality, their business requires two fundamentally different kinds of AI—and conflating them is killing their returns."
"Every professional services business is running two distinct operations simultaneously. One is services delivery, which includes consulting and analysis, while the other is services management, which involves operational infrastructure like resource allocation and billing. These problems are not the same and require different AI architectures."
"The distinction between services delivery AI and services management AI matters because the nature of intelligence required by each domain differs. Services delivery AI works at the edge of human expertise, augmenting practitioners' skills and accelerating research."
The professional services industry has invested heavily in AI, yet many organizations struggle to see a return on investment. A common mistake is treating AI as a single capability rather than recognizing the two distinct operations within services organizations: services delivery and services management. Each requires different AI architectures and strategies. Services delivery AI enhances client-facing work, while services management AI supports operational infrastructure. Misunderstanding these differences leads to ineffective AI deployment and poor returns.
Read at Harvard Business Review
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