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Economics

The question this section answers: why would it become viable to offer and buy a bounded advance in software delivery, and only then, how should it be priced?

The economic change that organizes this section

Section titled “The economic change that organizes this section”

The central hypothesis is that AI could reduce the complete cost of turning an intention into understanding, evaluated alternatives, an offer and an accepted delivery. If learning, specifying, prototyping, reconstructing context and coordinating require a lot of effort for every new request, small commitments may not sustain a recurring service. Reducing that effort, with quality and responsibility preserved, could widen the range of demands for which the relationship is viable.

While the cost of understanding, bounding, pricing, coordinating and checking each commitment remains out of proportion, the service may need an expensive entry point, a larger commitment, a subsidy recovered through later construction, or more coordination by the buyer. The opportunity attributed to AI is to reduce that dependence: to make useful discovery worth offering even when no implementation follows, and to make choices about continuing affordable.

Progressive consumption, choices between scope and investment, shared pools and delegated decisions are possible consequences of that change. The commercial mechanisms in this section let the service express it; their existence alone does not show that the economic change has happened.

These are different Why it matters
Estimate, price, commitment and authorization An estimate is a forecast; a price is a commercial term; a commitment is what the parties assumed; an authorization is who may commit, up to what limit.
Technical acceptance, payment and business benefit Accepting an output does not mean it was paid for, nor that the buyer’s business improved.
Delivery Unit and unit of charge A Delivery Unit is a tracking unit. A Delivery Stage is a transformation. Neither is necessarily what is charged for.

No single commercial arrangement is required.

The barbershop’s online booking connects purchased discovery, an offer to continue, partial approval and a delegated decision. Pricing and Commercial Gate use the same fictional figures: discovery at 20, construction at 80, reminders adding 15, and a delegated additional ceiling of 90. Unit Economics uses scenarios of its own, with their own cost figures, which are not the barbershop’s costs. All numbers are fictional.

The first advance can be paid for and produce information for a later offer. The customer can buy part of it, delegate the continuation, or conclude with discovery alone. The analysis includes the cost of learning, the buyer’s effort, the capacity kept available, and the routes that end without construction. The sustainability of the service cannot be inferred from a selection of final deliveries.

Software Delivery as a Service is a proposed model by Renan Deves and Marcelo Scheidt, Independent Researchers. See the paper for citation and license.