Hi, AI won't replace your experience. But it can help you make much better use o
By Mariusz Gąsior · November 10, 2026 · Curated by George's Blog
Hi,
AI won't replace your experience. But it can help you make much better use of it.
We're hearing a lot about Artificial Intelligence, automation and AI agents. We see reports generated in minutes, code written from a single prompt, and analyses that used to require hours of manual work.
But there's one thing we shouldn't forget: AI can do a lot, but it doesn't always get things right.
I've put together an article sharing practical advice on how to get started with AI and use it effectively in everyday work, particularly in data analytics, Excel, Power BI and business automation.
Here are some of the key principles I believe everyone should keep in mind when working with AI:
🔹 Human in the Loop (HITL) - always review AI-generated outputs. Humans should remain in control of the process and make the final decisions.
🔹 Data security first - use only AI tools approved by your organisation. Anonymising data doesn't always guarantee that sensitive information is protected.
🔹 Test your solutions - manually test your agents, implement automated tests and, where possible, use another AI tool to cross-validate the results.
🔹 Keep your prompts simple - short, clear instructions are often more effective than lengthy explanations. Break complex tasks into smaller steps.
🔹 Focus on data quality and context - provide a clear objective, reliable data, relevant business rules, constraints and an expected output format.
🔹 Work iteratively - don't expect perfect results on the first attempt. Review, refine your instructions and improve the output step by step.
🔹 Don't let AI limit your professional growth - delegate repetitive tasks, but never stop developing your own knowledge, skills and critical thinking.
In the article, I also share practical examples of:
🔹Writing simple and more advanced prompts for Excel and Power BI.
🔹Breaking down complex sales analysis into three stages: Data Validation, Sales Driver Analysis and Management Reporting.
🔹Building custom AI agents with dedicated instructions, reference files and skills.
🔹Using AI agents to automate recurring financial and analytical reports.
My main takeaway is simple:
😎Don't use AI just because it's available. Use it to solve real problems and eliminate repetitive work.
Think of AI as an additional team member. It can prepare analyses, write code, review processes and generate reports. But you are still responsible for checking the results and making sure they actually make sense.
📖 Check out the full article
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