That Understand, Act and Scale, Inside Salesforce

Companies in financial services, insurance, healthcare, logistics, and legal industries handle large volumes of unstructured documents daily. Traditional document processing methods rely on manual data entry, slow verification processes, and disconnected workflows, leading to inefficiencies, errors, and high costs.

Filing an auto insurance claim is rarely a smooth process. Long wait times, unclear coverage details, and complex paperwork often make an already stressful situation even more frustrating for policyholders.

Manufacturers in the Electrical and Electronics industry face increasing challenges in providing efficient and cost-effective customer support. Customers struggle with complex troubleshooting, leading to delays, frustration, and unnecessary downtime.

Building AI chatbots involves a deep understanding of advanced technologies and careful planning to ensure it meets the specific needs of users. At Softsquare, we designed a chatbot that enhances customer support by offering context-aware responses based on our product documentation.

When building AI-powered chatbots, much attention is given to designing prompts that produce accurate and helpful responses.

Prompt Engineering is the practice of crafting and refining instructions, known as “prompts,” given to AI models to generate accurate and contextually relevant responses. Effective prompt design enhances the performance, accuracy, and usability of AI systems. Moreover, this process involves iteratively tweaking prompts to ensure the AI’s understanding of queries improves, leading to better, more meaningful results.

Building product chatbots has become vital in delivering timely and accurate customer support, as they help streamline interactions and reduce workload.