PMP: AI & Sustainability

AI Governance for Project Managers: What to Check Before You Use It

The decision to use AI on a project is narrower than the debate around it. Four checks settle most of it, and one of them is the only one you cannot take back.

AI Governance for Project Managers

AI usually reaches a project through a helpful draft rather than a governance decision, which leaves the project manager deciding after the fact whether an output can be relied on. These are the questions worth asking before it influences anything.

Sustainability in Project Management: What It Means in Practice

Sustainability rarely arrives as its own workstream. It arrives through requirements, procurement criteria, risk and handover, and by the time it reaches a review the physical decision is usually already made.

Sustainability vs Schedule: When Faster Is Not Better

Schedule pressure rarely arrives labelled as a sustainability question. It arrives as a date, and a few of the levers that make that date possible decide what the organisation will run and pay for long after handover.

AI, Ethics and Accountability: Who Owns the Decision?

When an AI-assisted summary, score or forecast shapes a project decision, the accountability for that decision has not moved anywhere. What changes is how easily anyone can say what was actually checked.

Artificial Intelligence in Project Management: Practical Uses, Risks and Limits

Artificial intelligence can draft, summarise and analyse faster than any project team, and it can do all three convincingly while being wrong. Here is where it genuinely helps on a project, where the real risks sit, and what stays with you.

Practical thinking for project professionals