⚖️ Why Conflicting Voices Are Inevitable Every organization has competing priorities. IT teams want stability and security, while Operations pushes for speed and flexibility. Leadership focuses on long-term strategy, while end users just want systems that make their work easier. These tensions are not flaws — they are the natural
👂 The Analyst’s Most Overlooked Skill In business analysis, we often celebrate logic, frameworks, and methodologies. Process maps, requirements templates, and data models dominate conversations. But successful analysts know that their most powerful skill isn’t a framework — it’s listening. Active listening helps uncover unspoken concerns, hidden motivations, and the
🔍 Why Broken Processes Matter in the Age of AI AI promises speed, automation, and efficiency. But if a process is broken, AI doesn’t fix it — it magnifies the flaws. Automating a slow, inefficient, or inconsistent workflow only makes mistakes happen faster. That’s why stakeholders need to identify broken
📖 Why Documentation Matters More Than Ever In every organisation, documentation has often been treated as an afterthought. User guides, process maps, and technical manuals were seen as “nice to have” rather than business-critical. But in the age of AI, documentation is no longer optional — it’s a competitive advantage.
🛫 What Are AI Co-Pilots? AI co-pilots are emerging tools designed to assist rather than replace professionals. Microsoft’s Copilot for Office, GitHub Copilot for coding, and similar tools integrate AI directly into everyday workflows. Instead of being stand-alone platforms, these copilots act as intelligent assistants that anticipate needs, suggest improvements,
📊 Data vs. Insight: The Critical Difference AI has made it easier than ever to generate data. Dashboards fill with metrics, predictive models highlight trends, and algorithms surface anomalies. But data alone doesn’t create value. What matters is turning that raw output into decisions that drive the business forward. This
👀 The Blind Spots of AI in Business Processes AI has become a powerful tool for identifying inefficiencies, automating workflows, and predicting outcomes. It can process large amounts of structured data faster than any analyst ever could. But AI doesn’t see everything. Behind the data are human behaviours, cultural nuances,
🤝 The Translator Role of Business Analysts Business analysts (BAs) and process analysts are often described as translators. Their role sits between stakeholders who understand business needs and technologists who build solutions. In the age of AI, this translator role has become even more critical. AI tools are powerful but
📖 Documentation Is No Longer Just for Humans For decades, documentation was written with one primary audience in mind — people. Users, engineers, support teams, and stakeholders relied on clear instructions to understand systems, software, and workflows. But in the age of AI, documentation now has two audiences. It still
