LEARN. PRACTICE. GROW.Concept and mechanism
A temporary project may deliver a capability with a long operational life. Project completion does not end responsibility for maintenance, feedback, and product evolution. Define who receives the service, orders later needs, tracks benefits, and retains information access. Collaboration between development and operations enables learning from incidents and actual use. Automated delivery still needs observability, control, and recovery capability appropriate to context. DevOps does not mean that any change may enter production without clear quality and accountability conditions.
Guided application
AI can help summarize information, suggest risks, or prepare workshop questions. Treat those outputs as assistance requiring validation. A summary may confuse a scheduled test with a completed one or attribute acceptance nobody gave. Check against records, identify what remains unconfirmed, and retain decisions with defined accountable people. Use only information and tools permitted by rules applicable to the context; real customer data are unnecessary for practice here. Preserve relevant provenance and version information so decisions can be reconstructed. The assistance is useful when it improves work quality, not merely when generated text is fluent.
Automatically generated minutes declaring APS acceptance need confirmation; the model does not create that commitment.
Common pitfalls
Finished project as finished product; automation without support; summary as proof; decision assigned to a tool.
Related topics: Mindset, feedback, and flow · People, stories, and shared understanding
Use tools to support people accountable for verifiable outcomes.
Reference: PRINCE2 Agile Foundation syllabus · Version 2; inspected syllabus 2.0 (May 2025); revision 2.1 comparison pending