Philip Lacor, the CRO of Personio, detailed the company's rapid AI transformation at SaaStr AI London. In just six months, Personio moved from sporadic AI tool usage to deploying over 400 AI assistants, significantly improving efficiency. For example, research time was slashed from 2 hours to just 15 minutes per rep. The key to this success lay in their dual approach: combining top-down leadership with bottom-up engagement. Lacor emphasized that high usage of AI tools doesn’t equate to transformation; organizations must make strategic decisions about resource allocation, permissions, and prioritization to truly integrate AI into their go-to-market strategy. Personio's strategy involved forming a large, cross-functional working group that included data, revenue operations, and business users. This diverse team ensured that AI projects were grounded in real business needs and context, rather than being purely technical endeavors. They implemented a “jobs-to-be-done” framework, which helped identify where employees were losing time and how to address those pain points effectively. The team also focused on building an AI culture by leading through example, sharing successes internally, and recognizing contributions to AI development, which fostered greater acceptance and enthusiasm among employees. The article outlines five key lessons from Personio's journey: the importance of both top-down and bottom-up approaches, the necessity of cross-functional collaboration, the need to prioritize based on real business challenges, the significance of building an AI culture, and the understanding that great AI solutions come from leveraging existing data and context. Personio’s approach exemplifies how B2B companies can effectively integrate AI into their operations, addressing both the technical and cultural aspects of transformation.