Short, structured screens for the questions that come before a commitment: whether a project is worth developing, whether a contract is being managed, whether an idea is defined well enough to test. Each one is willing to tell you no.
Where AI fits in infrastructure work, and where it does not. Most problems these tools examine turn out to need process, data, integration or analytics instead.
Appraisal before a project is approved for development: whether the need is real, whether demand supports it, whether it is affordable, how risk should sit between the parties, and whether the environment around it can deliver.
After signature, for the decades that follow: whether the management regime exists, what a variation does, what a renegotiation would cost, and whether anyone is ready for a dispute.
What to do with infrastructure that already exists: monetization, recycling, divestment, concession renewal and the readiness questions that decide whether any of them is worth taking to market.