AI for project delivery guide
A practical guide to AI for project delivery.
Use AI to summarize and explain authorized project evidence while keeping important delivery, staffing, and financial decisions with people.
Start with narrow questions that have inspectable evidence.
- ✓Summarize current project status.
- ✓Explain which signals contribute to a risk.
- ✓Identify changed dates, estimates, blockers, or budgets.
- ✓Compare candidates against an explicit resource request.
- ✓Draft a report for authorized human review.
- ✓Answer bounded questions about accessible organization information.
A useful answer states what information supports it.
Keep the reporting period, source records, important assumptions, and uncertainty visible. Separate confirmed facts from interpretation and recommendations.
Protect access boundaries and require deliberate action.
- ✓Use only information the current user may access.
- ✓Do not infer sensitive personal attributes.
- ✓Do not place passwords, codes, secrets, or unnecessary personal information in prompts.
- ✓Require authorized review before changing plans, assignments, budgets, or reports.
- ✓Keep normal permission, history, and approval controls around accepted actions.
Test usefulness, accuracy, access, and failure modes before broader use.
Review representative examples, unsupported claims, missing context, permission boundaries, and the cost of a wrong answer. AI output can be incomplete or incorrect.