Build, Buy, Borrow or Bot?
Rethinking Enterprise Sourcing for the AI Economy
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Why the Old Framework Needs Rethinking
AI is forcing every enterprise to make sourcing decisions it has never had to make before. Which AI models to use, who builds the orchestration logic, what gets handed to automated workers, and what stays with humans. This report answers those questions through a seven-layer sourcing model; one that breaks down every AI-era capability into its component parts and gives each layer its own sourcing logic, ownership, and governance principles.
It worked for 30 years
Build it in-house, buy a product, or borrow from a partner. Simple, clean, and effective. For three decades, this framework was all enterprises needed to make capability decisions.
AI made capabilities layered
AI changed what capability is. A single AI-era capability now involves multiple components: models, orchestration logic, automated workers, systems of record, and human oversight. Each has its own sourcing logic.
The framework lacks resolution
The old framework has three options. AI-era capabilities have seven distinct layers. Squeezing seven layers into three boxes means treating fundamentally different things the same way.
A new model is needed
The framework does not need a patch. It needs a rebuild. One that gives each layer its own sourcing logic, so leaders can make decisions with the right level of detail.
Key Components of This Report
Know Which Layer to Source From
Stop making one sourcing decision per capability. The framework gives you a clear view of each layer so you know exactly where to build, where to buy, and where to partner.
Apply It Across Any Function
The seven-layer model works for Finance, HR, IT, Sales or any other function. The structure stays the same. Only the contents of each layer change.
Get the Governance Right
Each layer has its own refresh cycle, ownership model, and failure mode. The report gives you six principles to govern the stack without optimizing each layer in isolation.
Understand What Happens to Your Workforce
AI does not simply shrink the human layer. It reshapes it. The work shifts from preparation toward judgment, exception handling, and audit defense. The report shows how to plan for this deliberately rather than letting it become a residual.
Why This Matters
Three boxes produce three problems: you over-invest in what is visible, under-invest in what is durable, and end up with a stack that moves fast in the wrong direction. The seven-layer view does not change how much you spend. It changes where and that difference compounds over time.
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