She Writes Change

What if your AI wins were hiding in your most boring problems? The real game-changers aren't necessarily the flash AI demos but, instead, the biggest wins could come from using AI to tackle everyday annoyances that quietly eat up your time. Companies that start by automating these boring tasks quickly build confidence and experience. Then, tackling bigger, more ambitious AI projects feels a lot more manageable.

Successful adoption of AI demands more than just technology. It requires the right structure, strategy and ongoing monitoring. I've written up the 10 steps I believe are key to lasting and scalable AI adoption, from choosing the right tasks and tools to managing risks and ensuring ethical alignment. These 10 steps help set the foundation for meaningful, sustainable impact.

There seem to be the same two patterns, companies either going all-in on AI (and crash) or avoid it entirely (and fall behind). The smart approach isn't necessarily revolution, instead it's a systematic evolution, experimenting without over-committing.  AI isn't always going to be a system replacement, but a capability enhancement.  Don't underestimate the hidden complexities of integration, data security, and the need for new team skills.

Not sure how to measure ROI for AI Projects? Traditional ROI models don't work for AI projects. You can't always point to direct cost savings or revenue increases in year one. AI often delivers value in ways that don't fit into a standard business case template. The benefits are real but they are different.

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:

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.

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

The right 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐬𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭 gets funding, alignment and traction, and AI can help you write it in hours, not weeks.

First, clearly define the specific business challenge you're facing. AI is most effective when applied to well-defined problems.

BUT what I've learnt through my AI journey is that traditional business cases don't fit the realities of AI projects. 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐀𝐈 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐚𝐬𝐞𝐬 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭? 𝐀𝐈 𝐯𝐚𝐥𝐮𝐞 𝐞𝐦𝐞𝐫𝐠𝐞𝐬 𝐨𝐯𝐞𝐫 𝐭𝐢𝐦𝐞