People often talk about AI as a distant or overly complex concept. I do not think of it that way. I view AI and automation as practical tools to drive daily productivity. They remove the heavy lifting so we can focus on what actually adds value to business.
I use emerging tech every single day to deliver faster results.
When I need to research a complex topic or decode a dense End User Licence Agreement, I use tools like NotebookLM to gain immediate and clear insights. I then use Google Gemini to write clean procedures, build structured workflows, and ensure all my communications are simple to understand.
Context over queries: The industry used to focus entirely on prompt engineering. Now, the real skill is context engineering. I know how to feed these systems the precise background information required to get the best possible output.
Before you deploy AI across your own IT environment, you need a clear strategy. We must understand exactly what data the AI can see and what it does with that information.
AI is only as good as the information it processes. Your data needs to be structured, up to date, and highly relevant. We need to organise the internal systems so you can adopt these new tools safely and effectively.
The ultimate goal of all this technology is to make life simpler for End Users.
Consider the standard software request process. A user fills out one simple form. From there, automation takes over. The system automatically requests management approval. It adds the user to an Intune install group. It pushes the software directly to their device. It then fires off the necessary tickets to purchase or assign a licence.
There is a massive amount of technical work happening in the background. But for the end user, the entire experience is completely seamless. AI and automation should always clear the path so people can simply do their best work.