Technology Governance

The choice between build, buy, and borrow rarely comes down to technical capability. It comes down to which risk you’re willing to own: loss of control, delay in value, or dependency on an external provider. Score your initiative against the four factors below, then check which path your scores point toward. Rate Your Initiative (1–5 each) 1. Security & Data Sensitivity How sensitive is the data or capability involved? 1 = Low sensitivity, comfortable with external providers · 5 = Extremely sensitive, must stay fully in-house ...

When deploying a new business capability or technical solution, enterprise leaders face an immediate structural choice: do we graft this capability into our existing operational core, or architect it as an entirely isolated stream? This framework was built in the middle of high-latency, data-intensive AI implementations, but the underlying logic applies to any major technical migration, enterprise software rollout, or new business model. The goal is to help leadership teams evaluate the trade-offs between integration and segregation across six practical dimensions, so the decision is intentional before capital is committed. ...

What’s the winning AI strategy: build, buy, or borrow? That’s the wrong question. The real question is: when should you build, when should you buy, and when should you borrow? In real AI strategy, there is rarely a single “right” option. The organizations that get this right don’t choose one path — they combine them deliberately. With traditional software, this is usually a cost and speed decision. With AI, it becomes a control, risk, and data decision — and those trade-offs have long-term consequences. ...