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In 2025, the tech world became obsessed with AI agents, tools meant to automate workflows and help people make decisions. But in business analytics, that’s rarely the real problem that needs solving. In fact, automating a bad process with AI is just spending good money after bad. AI Agents are like taking an Uber: it saves you the hassle of driving and parking, but it’s still point-to-point, stop-start, and hard to scale. Kiraa is a high-speed train: direct, fast, and built for scale. We focus on workflows instead of agents because, in corporate, I learned the real work isn’t the final analysis. It’s the preparation needed to get data into a usable, decision-ready state. Analytics teams can spend days “schmoozing” data into the right format. For example, processing 1 million rows of sales transactions with standard data science tooling, then producing analytics across 10,000 customers and 100,000 products, can easily take 12 to 48 hours of solid processing on a standard Windows machine. With Kiraa, I’ve compressed that down to under 10 minutes through powerful algorithms that have taken me years to perfect. That’s at least 80× faster time to insight than traditional workflows. And at that speed, everything changes. High-quality information becomes immediately available for AI and for humans. That means deep reasoning and analytics, not lookups and pivot tables. There’s no need for agents to bridge the gap, the hard work is already done, which means people can spend more time doing what they do best: judgement and decision-making. That’s the beauty of Kiraa.