Alex Dobromir

AI did not transform our research platform. Years of structured data, standardised workflows, and deterministic automation did. Once that foundation existed, AI became safe: faster qualitative coding, quantitative interpretation, and auto-reporting, all with high accuracy. This is the infrastructure story behind the speed. Key Takeaways: 1. AI speed only holds when the data foundation is already solid. 2. Value stream mapping & use cases, not the coolest tools, reveals where AI actually belongs. 3. When AI handles the volume, you can move from execution to strategy.