Yantr.ai Adam Bot : A Generative AI powered Agent assist

Adam Bot is Yantr.ai’s specialized Generative AI-powered assistant designed to solve critical challenges faced by field technicians. Built on Amazon Bedrock, it leverages foundation models to generate contextually accurate responses in real time. Technicians interact with Adam Bot through a React-based frontend, which captures their queries and routes them to the backend.

The backend uses the Amazon Bedrock agent to orchestrate the query flow—analyzing the technician’s request, invoking action groups, and connecting to AWS Lambda functions for data processing. Relevant documents and manuals stored in Amazon S3 are converted into embeddings using foundation models and stored in a structured knowledge base, enabling quick retrieval of context-specific information.

Adam Bot integrates all these components into a seamless solution that reduces service times, bridges knowledge gaps, and improves customer satisfaction by giving technicians access to the exact guidance they need—instantly and accurately.

Key Features:

1. Interactive AI Assistance: Field technicians interact with Adam Bot via a React-based frontend, enabling a conversational interface that routes queries to the backend for processing through Amazon Bedrock agents.
2. Contextual Responses: Powered by foundation models within Amazon Bedrock, Adam Bot delivers context-aware responses by retrieving embeddings from a knowledge base populated with documents stored in Amazon S3.
3. Audio Responses via Avatar: Adam Bot supports audio responses delivered through a virtual avatar. These responses are generated using the same contextually rich outputs from Amazon Bedrock, allowing technicians to act swiftly without needing to read lengthy instructions.
4. Instant AI-Powered Guidance: Using Amazon Bedrock agents, action groups, and AWS Lambda functions, Adam Bot provides real-time, intelligent responses based on structured logic and dynamic data fetching.
5. Seamless Knowledge Integration: Adam Bot integrates with your existing resources by organizing manuals and documents in Amazon S3, converting them into embeddings through Bedrock foundation models, and storing them in a searchable knowledge base.
6. Enhanced Operational Efficiency: By offloading query handling to AWS Lambda functions and reducing the need for manual backend intervention, Adam Bot streamlines field operations, reduces MTTR (mean time to resolution), and improves resource utilization.

Benefits:

1. Increased Field Technician Efficiency: With intelligent, instant guidance powered by Amazon Bedrock, AWS Lambda, and a robust knowledge base, technicians can quickly resolve issues without waiting for backend support, leading to faster service completion.
2. Enhanced Customer Satisfaction: Real-time responses and procedural guidance—enabled by Amazon Bedrock agents and action group orchestration—empower technicians to deliver consistent, high-quality service, boosting customer trust and satisfaction.
3. Reduced Operational Costs: By leveraging AWS-native solutions like Amazon S3, AWS Lambda, and Amazon Bedrock, Adam Bot reduces infrastructure complexity, minimizes downtime, and cuts costs by eliminating redundant support layers.
4. Scalability and Customization: Built on AWS’s scalable infrastructure, Adam Bot can grow with your business. Amazon Bedrock and AWS Lambda allow easy integration of new features, while modular architecture enables customization to meet unique operational needs.