A US business buying custom software should ask how AI-assisted code becomes an approved release. The important deliverable is a working, supportable application with traceable decisions. A vendor's preferred coding assistant does not establish whether permissions, dependencies and failure cases have been checked.
AI changes the speed at which a team can produce code. Your procurement process needs to keep the evidence connecting requirements, implementation, review and deployment intact. This guide focuses on that evidence, rather than selecting a model or estimating an unsupported productivity gain.
Use NIST as a common vocabulary
NIST's Secure Software Development Framework, SP 800-218, describes practices that can be integrated into a development lifecycle and used in discussions between purchasers and suppliers. It provides a useful reference for a US buyer preparing engineering requirements. Naming it in a proposal does not prove that a supplier implements those practices.
NIST also publishes an AI-specific community profile. Its SSDF project page explains that SP 800-218A adds considerations for AI model development. Distinguish developing a model from using a coding assistant to build an ordinary business application. Identify the actual work before requesting a particular assurance document or making contractual claims.
Ask for an AI-use boundary before repository access
The supplier should explain where assistants may be used and what information may enter them. Separate a developer asking for an example from an agent reading repositories, opening pull requests or accessing a production incident. Those activities expose different information and give the tool different powers.
Agree on approved tools and account ownership, the information developers may submit, and how changes to those choices are reviewed. Keep production credentials and customer records outside example prompts. Request a route for reporting accidental disclosure without asking the team to hide mistakes to preserve a perfect score.
This is a practical project requirement. Your own privacy, security and legal owners should decide which contractual restrictions apply to the engagement.
Buy a release evidence package
Ask shortlisted developers to show a sanitized example of the evidence delivered with a release. A useful package connects business behavior to the exact software that was deployed.
- ▸A short description of the approved change and its acceptance scenarios.
- ▸The reviewed commit or release identifier and the person approving it.
- ▸Test results for permissions, failure handling and the affected workflow.
- ▸Dependency changes, relevant licenses and unresolved findings.
- ▸Deployment instructions, monitoring changes and a usable rollback decision.
- ▸A named owner for issues discovered after release.
An enormous report without a connection to the deployed version is hard to use. A concise record linked to the release lets your team inspect a disputed decision later. Agree which evidence is mandatory for routine changes and which additional review is needed for payments, administration or sensitive information.
Test the reviewer, not just the generated code
Consider a fictional subscription company commissioning a billing dashboard. An assistant produces a working export function. The ordinary test downloads the correct customer's invoices, but a changed account identifier exposes another customer's records.
During supplier evaluation, ask the team to explain how its review would find this boundary failure. Useful answers identify server-side authorization, a negative test using a second account and a review owner. A screenshot of a successful export does not answer that question.
Use a small paid evaluation with synthetic data if deeper proof is necessary. Give each candidate the same business requirement and assess its questions, tests and explanation of remaining risks. Do not ask for unpaid implementation of your whole product.
Make dependency decisions visible
AI-assisted work can introduce libraries that the buyer did not expect. Require the supplier to identify new dependencies and explain why they are needed. The relevant questions concern maintenance, licensing, access to updates and what happens if the component becomes unsuitable.
An inventory should match the released application. It should also identify who monitors important components after handover. A dependency document produced once during discovery becomes less useful if later releases add services or packages without review.
Discuss responsibility for generated code and third-party material in the contract. Engineers can provide inventories and review evidence; ownership and licensing terms need explicit commercial agreement.
Keep approval independent from delivery pressure
The person accepting a release needs enough information and authority to withhold approval. Define how the supplier records an exception when a known issue cannot be resolved before a requested date. The record should state the affected behavior, temporary control, accountable buyer and planned follow-up.
Separate a demonstration from deployment approval. A product owner may accept the screen layout while a security owner still needs to review administration access. Your acceptance test checklist should make these responsibilities visible before the final week.
Plan remote collaboration around actual decisions
A US buyer working with a remote engineering team should agree on review windows for its own time zone, urgent escalation and who can authorize a release outside those hours. Specify the repository and cloud accounts that your business controls. Ask how temporary supplier access expires when staff change or the engagement ends.
Treat those arrangements as part of the scope. They should not depend on a developer being permanently available across every US time zone. Our code and cloud ownership guide provides a practical starting point for the access discussion.
Request a proposal with inspectable deliverables
Describe the application, the people using it and one workflow where an incorrect result would matter. Include your restrictions on AI tools, required review evidence and who can approve deployment. Compare proposals against those requirements before comparing delivery promises.
TuniCyberLabs welcomes remote software inquiries from US businesses. Explore Custom Software Development, then send your workflow and release requirements. The scoping discussion can establish what to build, what evidence to deliver and which responsibilities remain with your team.