Mendable.ai, led by CTO Nicolas Camara, is leveraging LangChain Agents and LangSmith to enhance their Tools & Actions feature, which integrates AI into enterprise workflows for increased efficiency. Originally implemented to assist 1,000 customer success and sales staff at a major tech company, the platform saved $1.3 million in five months by reducing research time and reliance on technical resources, with a projected $3 million in savings for the year. The platform's Tools & Actions allow chatbots to perform automated tasks by accessing various data sources, improving capabilities for tasks like retrieving company information for salespeople. However, the development of these features faced challenges related to agent reliability and observability, which were addressed using LangSmith's debugging tools. LangSmith provides insights into the agent's decision-making process, enabling the Mendable team to optimize tool performance and reduce latency. The debugging process involves inspecting inputs and outputs, refining schema definitions, and building datasets for further evaluation, allowing for continuous improvement of the AI-driven functionalities. Mendable.ai's collaboration with LangChain and the use of LangSmith have been instrumental in tackling these development challenges, and they continue to partner with enterprises to refine their solutions.