USchedule is a golf industry software company specializing in scheduling solutions for PGA instructors and facilities. With 10 employees, the company has experienced steady growth over the past decade, accelerating in the last six months due to increased demand for indoor golf simulators. Its marketing strategy relies primarily on word-of-mouth referrals, supported by large-scale email campaigns that reach over 2 million recipients monthly. USchedule drives strategic partnerships that provide a steady stream of new users, including PGA Super Store.

AWS provided the scalable and secure cloud environment required to host the MVP chatbot and supporting AI workflows. The engagement leveraged Amazon Bedrock foundation models to power conversational AI capabilities. AWS infrastructure enabled data ingestion from third-party APIs, structured knowledge representation, monitoring and observability, and secure deployment within USchedule’s development environment. AWS services supported experimentation, baseline performance testing, and structured progression toward production readiness while aligning with the recommendations from the RAPID assessment.

SnapSoft delivered a structured, phased MAP Lite Mobilize engagement, establishing the required AWS services and data sources within USchedule’s development environment to support MVP execution. Phase 1 focused on documentation crawling, vector store setup, structured knowledge representation through graph construction, test scenarios, evaluation frameworks, API definitions, and simple pipeline development with observability. Phase 2 centered on performance analysis and validation. Phase 3 advanced production readiness, implementing conversational state management, API integration, reporting and dashboard generation, security and protection measures, monitoring, observability, and production deployment preparation. SnapSoft provided knowledge transfer and a roadmap for the next project phase. The engagement was supported by a dedicated team including a Project Manager, AI Engineer, QA Engineer, and Solution Architect, ensuring coordinated delivery aligned to business objectives.

• Amazon Bedrock
• AWS Lambda
• Amazon API Gateway
• Amazon SQS (Simple Queue Service)
• Amazon S3
• Amazon DynamoDB
• Amazon CloudFront
• Amazon CloudWatch
• AWS Secrets Manager

• Working AI-powered chatbot MVP: USchedule achieved a functional AWS-hosted chatbot capable of leveraging its knowledge base to answer specific golfing questions.
• Intelligent assistant with action capability: The MVP validated an AI-powered assistant that answers questions and can perform actions within the system on behalf of users. The solution was designed to handle complex, multi-step requests.
• Structured AI experimentation and validation framework: Documentation crawling, vector store setup, graph-based knowledge representation, and evaluation frameworks established a repeatable foundation for AI iteration.
• Production-readiness foundation: State management, API integration, monitoring, and security measures positioned the solution for progression beyond prototype stage.
• Knowledge transfer and forward roadmap: SnapSoft delivered documentation and a proposal with level-of-effort estimates for the next phase, enabling informed decision-making for continued AI expansion.
• Future-Readiness : With a validated AWS-hosted MVP powered by Amazon Bedrock foundation models, USchedule is positioned to expand AI-driven capabilities across its platform. The structured architecture, observability framework, and documented roadmap provide a clear path for iterative feature enhancement and broader production deployment while maintaining alignment with business objectives.