She Writes Change

Understand your risks before you go all in for AI. Successful AI implementation needs a clear business case, supported by strong data foundations, and a change management strategy that puts people at the heart.

Want to start an AI project but don't know whether to Buy, Partner or Build? The "Buy vs. Partner vs. Partner" dilemma is not a new one, but in the age of AI, it has become one of the most critical strategic decisions a leadership team can make. Before your data science and engineering teams default to "we'll build it ourselves", it is critical to recognise that this is more than just a technical preference, it's a decision that will fundamentally shape your project's scope,

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.

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

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. 

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.

𝐇𝐨𝐰 𝐭𝐨 𝐫𝐞𝐚𝐥𝐥𝐲 𝐰𝐢𝐧 𝐰𝐢𝐭𝐡 𝐀𝐈. Replacing humans isn't the answer. Making people more capable, creative and productive with the use of AI is.