What It Means to Consume Software Delivery | Software Delivery as a Service

One person buys a license to use software that already exists. Another hires someone to create a capability that does not yet exist. Both purchases involve software, but they buy different things. In the second case, part of what will be produced may still need to be discovered.

Consuming software delivery means purchasing advances in that production: an investigation that clarifies feasibility, an experiment that supports a choice of solution, or a change that works in an agreed environment. Each purchase must make clear what will be received and under what conditions it can be considered fulfilled.

Software Delivery as a Service begins with an economic hypothesis: AI may reduce the work of understanding, experimenting, coordinating, producing, and evaluating enough to make more such purchases viable. The proposed relationship follows from that change. The buyer enters with an intention, purchases an advance, and receives both a result and information for a possible continuation. The provider maintains the capability to conduct this process repeatedly.

The Difference Lies in the Obligation Assumed

Consider three offers for the same need: improving appointment booking at a barbershop.

In the first, the buyer purchases a developer’s availability for a period. This can be a good choice when the buyer wants to direct the work and can do so. In the second, the buyer purchases an existing tool and configures its rules. In the third, the buyer purchases clarification and implementation of a bounded change, under criteria the provider undertakes to meet.

Commercial vocabulary alone does not distinguish these offers. Calling something a subscription, platform, or service does not tell the buyer whether they will receive capacity, access, or an accepted delivery. The actual obligation determines the object of the relationship.

In the proposed model, the provider organizes the production needed for the purchased advance. The customer still supplies context and exercises the decisions they have reserved. The promise is to reduce the need to manage each executor continuously.

Discovery Can Also Be Purchased

The purchase does not have to begin with code. Before implementing appointment booking, it may be useful to establish how availability, cancellations, and simultaneous requests should be handled. A prototype and an integration investigation can fulfill an initial commitment.

If the result shows that an existing tool solves the problem, the discovery service may have fully served its purpose. If it shows that development is worthwhile, it supports a more concrete offer. In either case, the buyer received an advance; continuation remains a choice.

This requires proportionate criteria. “Deliver a report” describes an artifact but does not explain what it must clarify. A useful purchase would specify, for example, which alternatives will be examined and which decision the findings should support.

Behind the Simplicity

The provider must preserve context between advances, maintain execution capability, and verify results. It may combine people, agents, and automation. It may offer assisted interaction or a self-service interface. It may serve one domain or several. These are operating choices.

The commercial arrangement becomes more accessible only if the production behind it can sustain small commitments. Under an expensive cycle, the parties may need a larger initial purchase, extensive preparation, or a later sale to recover the effort. Reducing the complete cost could let a smaller demand stand on its own. That is the change attributed to AI, beyond offering a different way to charge for existing work.

The practical test is easy to state, though difficult to meet: can the customer understand what they bought, recognize what they received, and decide the next step without becoming the permanent manager of production? That is the consumption experience the model seeks to make viable.

Read next: Buying Discovery Before Building. The complete system is described in the paper.