Using AI, Project Managers and Leaders can create more compelling project Cost Benefit data.

As a project delivery and turnaround specialist, I've learned that the difference between project success and failure isn't about how fast you can put out fires.  It's about preventing them from starting in the first place.

Approving a project is more than just a formality, it's your single biggest opportunity to protect strategy, budget, and delivery capacity.

The AI for project management market is predicted to hit $14.45 billion by 2034. Organisations betting on AI for scheduling, risk management, governance, and admin are seeing measurable gains in cost control, agility and oversight.

Because real alignment isn't created in a single workshop.  It's built in the messy, daily details of delivery, and even the best leaders can struggle to maintain alignment once the real work begins.

You're doing two jobs, and we know how that works out. Strategic leaders need to be able to steer the ship, not row it. 

What's more expensive than a delayed project? A team that's working hard, but going in different directions.

Like any technology, AI comes with it's own set of risks, from emergence of unexpected capabilities, hallucinations, creative interpretations to unexpected real-world behaviours. 

There's a growing need to track what truly moves the needle for businesses, not just on-time delivery but measurable ROI, customer impact and strategic alignment.

There are 3 key questions every exec should ask at weekly project check-ins. You're getting status updates, you hear what's 'green', but you feel the project is drifting. To shift from status to clarity, you need a different conversation.

Project execution is not just about completing tasks, but about completing them in the most productive way possible.

Navigating AI Adoption: What's your biggest challenge and how do you solve it? Trying to harness AI can feel overwhelming. It's complicated and it's not SaaS, there are key challenges that need to be faced. From decision paralysis and a lack of skills to trying to grapple with infrastructure, ethics, data, security and change management.

If you're about to start leading AI transformation, or AI projects, or even sponsoring AI projects, then this is great tick list to get you started.

Project resource wars aren't just a theoretical issue, they're a real challenge for project managers and teams.

The cost of not re-setting delivery is working hard on the wrong things. It's losing trust before you've even noticed it's gone. It's delay disguised as busy. It's more chaos and less progress, every week.

A project portfolio approach ensures every effort serves your wider strategy. It balances risk and value across all initiatives and ensures every project, programme and team is working towards a unified goal.

Breakthroughs come from integration: Studies of interdisciplinary AI teams found that diverse backgrounds drive higher adoption and more effective outcomes than siloed experts

The reality is that the rigid application of either Agile or Waterfall rarely fits the messy reality of complex delivery. 

Tech goes live. Nothing changes. Why? The impact? Tech goes live but the business doesn't change. Adoption is low. Outcomes are diluted...

Project failure doesn't happen overnight. But slowly, deadlines slip, teams disengage and momentum evaporates. 7 warning signs to watch out for are: