FROM AI IDEA TO BUSINESS SOFTWARE

How to hand over an AI-built app to a development team

Make it easier for others to take over.

Short answer

A useful handover includes more than an app link. Show the problem it should solve, transfer code and project access securely, and describe data, integrations and known limitations. Ask the receiving team to start the solution themselves before considering the technical handover complete.

Start with a real workflow

Show a typical task from start to result. Explain who will use the system, why the workflow matters and what you have tried with users. Distinguish requests, tested behaviour and parts that only look finished in the demo. Use test data if real records cannot be shared.

Prepare a small, useful handover package

  • Purpose, primary users and boundaries of the first release.
  • Code or project source, version history and the version being demonstrated.
  • Instructions to start, test and deploy the solution, including required settings. Do not include secret values in the document.
  • Data model, sources, test data and integrations with named contacts.
  • Project accounts, domain, hosting, database, billing and who can grant access.
  • Known defects, security questions and unresolved decisions. Relevant AI instructions can add context; a full chat history does not replace a readable summary.
A coral puzzle piece sits beside connected metal puzzle pieces.
THE IDEA IN PRACTICE

Hand over the context with the code: needs, data, decisions and known limitations.

Transfer access without sharing personal passwords

Invite the recipient with an appropriate role and move control to company accounts where necessary. Use an agreed secure channel for secrets and rotate them when access changes. Ensure there is a backup administrator. Export and transfer procedures vary by platform and should be verified in the current service.

Let the receiving team perform an initial review

Our review starts with security, maintainability, and ownership and operation. The outcome should identify usable parts, blockers and areas needing investigation. Agree on scope first; taking over code does not mean it has been reviewed or approved for production.

Finish with a trial run and clear responsibilities

Ask someone on the receiving team to start a test environment from the handover material. Walk through a small change and how it would be released and recovered. Agree who owns data, costs, support and the next decision. Avoid a period when each party assumes the other is watching the system.

PRACTICAL TEMPLATE

Copy: a one-page handover

Use the headings as a starting point for your conversation. Leave secrets and customer records out of the document.

Problem and initial users:

Main workflow and what we have tested:

Project/code link and current version:

Startup instructions and where settings are managed (no secrets):

Data, integrations and accounts with owners:

Known limitations and open decisions:

Recipient, responsibility from date and next review:
Download template (.txt) ↓

Common questions

Does the prototype need to be finished?

No. Handing over earlier can avoid further investment in uncertain technical choices. Be explicit about what works and what you want the team to investigate.

Does the team need the entire AI chat?

Not necessarily. A summary of purpose, constraints and important decisions is a better starting point. Share relevant instructions when needed and check that the material contains no secrets or records the recipient should not receive.

Sources and method

The review structure, examples and templates are Miller Development’s practical recommendations, informed by Sven Miller’s description of our approach. The references explain related principles; they do not validate these templates or certify a solution. Platform features and terms can change. This guide does not replace a review of your specific system.

OWASP ASVS provides a framework for technical security requirements and verification.

MILLER DEVELOPMENT

Want help taking the next step?

We help prioritise business value, review AI-built solutions and develop secure, stable systems integrated into your business. The next step may be a small test, a technical review or a bounded first delivery.

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