After years of working in project delivery and transformation, I've seen 3 leadership types stand out.

Great Product Managers win markets. But Project Managers make sure that that great idea gets successfully launched to market.

It's easy to hope it "will sort itself out", but in projects, small cracks compound fast. That minor delivery hiccup gets pushed to "next week's" agenda again and again, until it becomes a board level crisis. 

Every team has a strategy deck. Every board signs off on ambitious goals. You have a beautiful Portfolio of projects. But you aren't delivering.

𝐅𝐫𝐚𝐦𝐞 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠: It’s a business tool, not a side experiment so apply the same strategic intent, and ROI focus you would to any core investment

There are two types of Project Managers who walk into your business. And the wrong type of PM, no matter how talented, can kill your delivery.

Having rescued multiple projects across fintech, hospitality, banking and financial services, I've seen the same warning signs appear again and again.

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.