Product Delivery Starts Long Before the Launch

From checking readiness to supporting the decisions that make delivery possible.

A product can begin drifting toward a late launch long before anyone changes the launch date.

An unresolved requirement keeps a design choice open. That choice prevents a supplier from confirming its work. A test plan assumes a configuration that is still changing. Each team continues making progress, but the time available to connect those decisions is getting shorter.

By the time someone asks whether the product is ready to launch, some of the decisions that could have protected the date may already be overdue.

This is the next question I want to explore in the work we are calling Launch Master at OpenBOM: how can we help the person responsible for delivery recognize those decisions early enough to act?

Our work on BOM Review led me to examine whether accurate information adds up to delivery readiness. I then explored the coordination behind a product launch and why AI agents need a Product Context Graph. That progression brings me to a broader business question: what does it take to support product delivery throughout the decisions leading to a launch?

What I mean by Product Delivery

By product delivery, I mean the work of turning a product commitment into something the organization can build, verify, and deliver under agreed requirements, cost constraints, and timing.

That commitment might be a prototype for testing, a pilot build, a production launch, or a configured product for a customer. Each requires a different level of readiness. A prototype may deliberately contain temporary solutions that would be unacceptable for production.

The person responsible for delivery has to understand which conditions matter for the next milestone and whether the organization can satisfy them. That work connects engineering, procurement, suppliers, manufacturing, quality, and the business decisions surrounding the product.

I see Product Delivery as a useful name for this business problem. Product Delivery Decision Support describes the assistance I want to explore: helping the accountable person understand what requires a decision, what evidence is available, and what happens if that decision waits.

The earlier decision behind a late problem

Consider a hypothetical team preparing a pilot build of an industrial inspection machine.

The team selects a lower-cost sensor on the assumption that it will work with the existing controller software. The sensor appears in the BOM. Mechanical design progresses. Procurement prepares the order. The program schedule includes a test slot.

However, compatibility with the required operating mode has not yet been verified. The supplier’s documentation describes the interface, but the team has no test result for this particular hardware and software combination.

If the issue is discovered during final integration, it looks like a launch problem. Earlier in the program, it was an unresolved assumption behind a purchasing decision.

A useful delivery review would make that connection explicit: the pilot configuration depends on an unverified interface; the planned test slot assumes it works; and committing to the order could reduce the team’s options if further development is needed.

The next step is specific. Engineering needs to establish what verification is required and how long it will take. Procurement needs to confirm the implications for supply. The program leader can then decide whether to proceed, change the configuration, or revise the milestone.

The outcome remains uncertain until that work is done. Making the uncertainty visible gives the team a chance to manage it.

Progress needs an agreed meaning

A delivery review brings together people who can use the same word to mean different things.

Engineering may call a design complete when it is released. Procurement may call a component covered when a supplier is selected. Manufacturing may call a build planned when capacity is reserved. Each statement can be reasonable within its own function.

For the next milestone, the team needs to agree on the conditions that connect those statements. Does the supplier have the applicable revision? Does the reserved capacity include the required process? What verification is needed before this configuration can move forward?

This also applies to cost. An early estimate, a supplier quotation, and the cost of an actual build provide different evidence. A delivery decision needs to show which one supports the current plan and what remains an assumption.

These agreements become especially important as a company grows. Hiring experienced people brings valuable knowledge, but it can also bring different expectations about approvals, handoffs, and responsibility. The organization still needs a shared way to decide what is ready and who resolves an exception.

Software can help make that way of working explicit. It can carry useful starting criteria, connect them to the product, and make ownership visible. Those criteria must remain adaptable to the company’s product, stage, and operating model.

Connecting context to a decision

The Product Context Graph gives this idea a practical foundation. In the inspection-machine example, the relevant context includes the selected sensor, its interface documentation, the controller version, the unverified assumption, the purchasing commitment, and the planned test.

Connecting those records helps explain why an open engineering question matters to a delivery decision. A proposed assistant could bring the evidence together, flag the missing verification, and prepare the question for the people who can resolve it.

The sources and their dates matter. A supplier’s confirmed response carries different weight from an old estimate. Missing test evidence should remain visible as missing evidence. Technical specialists still establish compatibility, and the accountable manager decides how to proceed.

When the team resolves the question, the decision and its supporting evidence should become part of the context available at the next review. That gives later decisions a record of what was established and under which conditions.

This is where I see a useful role for AI: reducing the work required to assemble and examine the evidence so people can spend more time resolving the decisions that affect delivery.

A focused next step for Launch Master

The broader idea raises an obvious question about scope. Delivery can be affected by almost anything, from an early requirement to a late supplier change. We need a practical place to begin.

For OpenBOM Launch Master, I would start with one real product commitment, one upcoming milestone, and the person responsible for it. Together with the team, we would identify the conditions that matter and examine the evidence they already use.

The initial result would be a blocker-and-action report: what threatens the milestone, why it matters, which evidence supports the finding, who needs to resolve it, and when a decision is required. An unresolved assumption should identify the confirmation needed before the team can rely on it.

That first review would also help us learn where experienced delivery judgment is essential. Knowing which questions to ask, how to interpret incomplete information, and when to challenge an assumption is part of the work we need to understand.

OpenBOM’s existing work connecting engineering information with procurement provides a starting point. Launch Master remains an exploration. We want to test whether this combination of product context, software, and practical expertise can help a team reach a better decision with less preparation effort. Repeating the review as circumstances change would be a later step to validate.

The broader Product Delivery idea gives us a direction. A specific milestone gives us a way to test it.

I would like to hear from people responsible for product launches, NPI, and manufacturing programs. Think about your last delayed launch: which earlier decision would have made the biggest difference, and what evidence was missing when you needed to make it?

If you have an upcoming milestone where this kind of support could help, I would be glad to compare notes. You can reach me at oleg@openbom.com.

Best, Oleg