Ally Financial, a prominent digital bank and auto lender in the United States, has partnered with LangChain to develop an initial coding module aimed at addressing the challenges of handling personally identifiable information (PII) in AI applications within regulated industries like finance, healthcare, and retail. The PII Masking module, designed for Ally's proprietary AI platform Ally.ai, ensures that customer data is protected by filtering out sensitive information before it reaches large language models (LLMs). This initiative enhances security and compliance, allowing customer care associates to efficiently summarize interactions without compromising data privacy. Built by a small team in just two months, Ally.ai has improved productivity by saving time on customer calls and reducing the need for additional edits. The success of the PII filtering approach led Ally to contribute their code to the LangChain community, further supporting the development of safe AI practices across industries. Encouraged by the platform's initial success, Ally is exploring additional AI use cases to optimize productivity and business processes. This collaboration exemplifies how companies can responsibly harness AI's potential while adhering to strict privacy standards, with Ally setting a precedent for other organizations in regulated sectors.