Artificial intelligence holds significant promise to become a powerful tool for fighting corruption, but as discussed in the first two parts of our series on AI solutions for anti-corruption compliance, the current reality is far from the science fiction dreams the term calls to mind. While AI shows up more and more in people’s daily lives – in natural language processing and facial recognition, for example – anti-corruption compliance presents some unique problems and makes implementation in this space challenging for many companies. In this third article of our series, we unpack these unique challenges and offer five creative workarounds to help companies get an AI solution up and running. See the first two parts of our series on artificial intelligence for anti-corruption compliance: “Foundations” (Oct. 28, 2020) and “Building a Model” (Dec. 2, 2020).