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,

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.

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.

onfused about the difference between Generative AI and Agentic AI? As AI continues to move fast and reshape the way we work, it's crucial to understand the difference. 𝐓𝐡𝐞 𝐊𝐞𝐲 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞? ✴️ Generative AI is reactive and collaborative. Agentic AI is proactive and independent.