A software handover checklist should help a new operator understand, run, and troubleshoot the system. Cover ownership, business rules, dependencies, recovery procedures, and the responsibilities after launch.
Start with a system map
List the applications, accounts, repositories, and integrations involved. Explain what each one does, who owns it, and how access is managed. Share credentials through an appropriate secure method rather than embedding them in general documentation.
Document workflows and decisions
Describe the business rules, data mappings, scheduled actions, and important assumptions. For AI agents, include information sources, permitted actions, and evaluation examples. Explain where a person reviews output or takes over a task.
Include recovery instructions
Show how to recognize a failed workflow and what to check before retrying it. Identify support contacts and dependencies on third-party services. Provide relevant release and rollback instructions so maintenance does not depend entirely on the original developer’s memory.
Agree on what happens next
Review the handover with the people who will use it. Record known limitations and useful follow-up improvements, and clarify the support arrangements in the project agreement. Rantum Solutions plans documentation alongside development so the application, integration, or automation can be understood after launch.
Ask the receiving team to perform a task
Choose a realistic maintenance task, such as updating a notification template or diagnosing a failed integration. Have the receiving team find the relevant account, locate the configuration, and explain how the change would be checked. This exercise exposes missing documentation more effectively than asking whether the handover folder looks complete.
Planning checklist
- List the owner and purpose of every production account and repository.
- Document release steps and where environment-specific settings are managed.
- Provide representative test cases and known limitations.
- Explain how to identify, escalate, and recover from a failed workflow.
What is different for an AI assistant?
Include the assistant’s instructions, approved information sources, tool permissions, and example evaluations. Explain how source information is updated and who reviews changes to permitted actions. A handover should make it possible to assess a behavior change without relying only on whether the assistant produces a fluent answer.
Next steps
Before you start, review working software with a repeatable checklist. Explore our AI, automation, and development services or send a project brief to discuss the requirements.
For a broader planning guide, read API Integration Checklist for Connecting Business Systems.