You've integrated all your project dashboards into one view. So why is your Steering Committee still confused? I've seen organisations invest heavily in Project software and unified dashboards, integrating every project management tool, all to create the perfect "single pane of glass" view. Then they sit in Steering meetings where executives still ask the same questions: "Are we on track?". "What does this really mean for the business?". "Should we be worried?".

There's been a lot of talk about AI taking over everyone's jobs.  Duolingo, Microsoft, Oracle and IBM all made redundancies in 2024, based on AI being able to replace workers. In 2024 alone, over 150,000+ workers were laid off, with 45% of cuts directly tied to AI automation.

After years of managing technology transformations, I've learned that you cant treat AI like "just another IT project". There are critical key differences, including mindset and approach. AI projects aren't traditional tech projects with a new label. They operate under fundamentally different rules:

How do you build trust when AI isn't 100% certain? Your board expects certainty, BUT your AI delivers probability. AI adoption is different to SaaS platforms and their 'deterministic systems'. But people are used to systems that are 100% predictable (think ERP, CRM). AI just doesn't work that way. AI operates in probabilities, not guarantees. And that probabilistic nature isn't a bug to be fixed in the next release, it's the core of how these systems function. I've been resea

A project might tick every box during delivery, on time, on budget, stakeholders happy, but fail to deliver the promised business value months later.  Without post-implementation tracking, you're essentially flying blind.

Whilst AI can handle more of the technical and admin work, the uniquely human aspects of project management become MORE critical to success, not less.

That "move fast and break things" mentality? It's invaluable in early days. BUT what works at 10 people doesn't work at 100.

Why Transformations Fail (and how to save them). Most transformation failures follow the same pattern. The root causes are rarely technical or financial. They're organisational.

Use AI to help you unlock strategic advantage. If you're looking for smarter and faster ways to shape strategy and drive successful outcomes, then take a swipe through the carousel to see 10 ways that AI can help you.

Launching a new digital product across 12,000 retail locations taught me that scale isn't about size, it's about psychology. You can't just double the resources for double the locations. The real challenges are human. Here's what I learnt about scale:

Research shows that companies that invest in innovation consistently outperform their peers, interestingly especially during periods of economic uncertainty.

Is your governance framework balanced? Or is it holding your business back? 

"In a recent MIT study on whether LLMs should be used as a therapist that tested model responses to psychiatric symptoms, the researchers noted that LLMs “encourage clients’ delusional thinking, likely due to their sycophancy.”

So when I talk about the business risk of siloed delivery, I'm talking from real experience. And I've seen it in so many other places too. Disconnected projects undermine what could be powerful business outcomes, it puts pressure on people already overloaded with change.

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

It's easy to think that 'digital natives' will adopt new AI tools easily. However, the reality is that training, communication and trust are just as critical, if not more so, for AI projects.

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