Questions to Ask About an AI-Assisted Software Proposal

An AI-assisted software proposal should make a commercial decision easier. It should explain the problem being addressed, the work included, the evidence required for acceptance, and who remains responsible for delivery. References to powerful tools can be informative, but they do not answer those questions on their own.

What business outcome does the proposal commit to pursuing?

Look for a description of the process that should improve. “A modern dashboard” is less useful than an explanation of how staff will identify overdue orders and contact the right customer. The proposal should connect its features to an operating need, with a clear first release rather than an unrestricted catalogue of possibilities.

Consider a hypothetical equipment rental company. It needs to prevent conflicting reservations and give staff a dependable view of returns. A proposal focused on attractive booking screens should also explain how availability is determined and what happens when equipment returns late. Ask the provider to describe those situations in business language.

Identify assumptions that affect the estimate. These may include the condition of existing records, access to a current supplier's system, or the availability of staff for review. An assumption written plainly is easier to challenge before spending begins than after a delivery date has been announced to customers.

Where will AI be used, and who checks its work?

Ask the provider to distinguish research, design exploration, routine implementation, and validation. Different uses may produce different benefits and require different checks. A general statement that “AI builds everything” provides little information about the work you are buying.

GitHub's responsible-use documentation notes that generated suggestions can be inaccurate and should be reviewed and tested. This is a reason to ask about the provider's checking process, not a reason to dismiss AI's capabilities. Require a named human responsibility for evaluating outputs and resolving problems.

Useful questions include who reviews significant changes, how important business rules are checked, and how unresolved issues are communicated. Ask what happens if the AI produces an approach the developer considers unsuitable. A credible answer should explain how professional judgment can override a generated suggestion without leaving the customer to diagnose it.

What will count as ready for business use?

Ask for acceptance examples covering the process you intend to depend on. For the rental company, these might include making a reservation, extending it, correcting an incorrect return, and preventing an unauthorized user from changing prices. A presentation of the ordinary booking journey alone is insufficient evidence for those cases.

NIST's Secure Software Development Framework publication presents recommended practices for addressing software security through development. It is guidance rather than a certificate of product safety. In evaluating a proposal, its relevance is that safeguards require an ongoing process, not just an assurance added to a sales document.

Clarify which reviews are included, what the owner must supply, and what remains outside scope. Also ask how the provider will prepare the service for operation: who has access, how problems are reported, and what recovery arrangements will be established. Avoid assuming that every operational service is included simply because the proposal mentions development.

How are cost, change, and continuity addressed?

Request a breakdown that distinguishes initial work from recurring costs. Hosting, external subscriptions, ongoing improvements, and support arrangements can affect affordability after launch. The proposal should also explain how a new requirement changes priorities, expenditure, or timing.

Ask how progress will be made reviewable. A short demonstration of completed tasks, a written account of unresolved decisions, and an updated next-work list are practical options. Agree an appropriate rhythm rather than prescribing meetings that consume more time than they save.

Discuss handover and continuity before the product becomes essential. Ask what documentation will describe the operating process, how access to important accounts is managed, and what arrangements would apply if the engagement changes. These are matters to clarify in the project agreement; they are not rights established by a tool choice.

Assess Holism's approach on the same grounds

Holism combines AI, an experienced developer, and a Software Product Line with reusable capabilities and consistent rules. The relevant proposal question is how that combination serves your particular operating need. Ask which capabilities provide the starting foundation and which business-specific requirements need additional investigation.

AI can support faster implementation, while the developer evaluates tradeoffs and remains accountable for the work. Reuse can provide a more consistent starting point, but the proposal should still explain how your records, users, and exceptions will be handled. No delivery model removes the need for a clearly agreed scope and evidence of readiness.

A useful proposal allows an owner to understand the commitment without becoming an engineer. Its strength lies in clear outcomes, visible responsibilities, explicit assumptions, and a credible process for checking the product that the business will rely on.