Even with a firm grasp of what artificial intelligence (AI) is and how it can be used to build anti‑corruption compliance tools, the process is still intimidating. Every company’s needs are different and building an AI solution will likely involve roadblocks, challenges, trial and error. While researching our series on AI solutions for anti‑corruption efforts, we spoke with experts at AB InBev, Microsoft and Google about how their companies approached building tools using machine learning (ML). Here we walk through the individualized process for each company and offer practical advice for getting a project off the ground. See our three-part series on artificial intelligence for anti-corruption compliance: “Foundations” (Oct. 28, 2020); “Building a Model” (Dec. 2, 2020); and “Five Workarounds for Asymmetric Data Sets” (Feb. 3, 2021).