AI Agent
Document Processing
Clockwork: Conversational AI agent powered by document processing intelligence from Amazon BDA
"We partnered with Tech 42 to execute a Document Processing and Conversational Agent POC on AWS Bedrock, and the engagement delivered exactly what we set out to validate.
Our goal was to determine whether Bedrock, specifically Bedrock Data Automation (BDA), could support scalable document extraction with structured outputs and confidence scoring, while also standing up a secure, multi-tenant conversational agent capable of querying underlying data through natural language. The solution leveraged Bedrock LLMs with agent memory, guardrails, and database query tooling, implemented in a cloud-native architecture aligned with AWS best practices. Observability and monitoring were built in to support validation, load testing, and performance analysis across both ingestion and conversational workflows.
Despite internal changes on our side during the project, the Tech 42 team remained flexible, responsive, and highly execution focused. They communicated clearly, moved quickly, and delivered against the defined POC objectives with strong technical rigor.
The outcome was a successful validation of AWS Bedrock as a credible foundation for future production deployment within the Clockwork platform."
Matt Reed
Founding Partner & CTO
Project summary
Clockwork needed to validate whether AWS Bedrock could power scalable document extraction and a secure, multi-tenant conversational agent. Tech 42 built a generative AI agent using LangGraph on Amazon Bedrock, integrated with Bedrock Knowledge Bases and OpenSearch for multi-tenant RAG capabilities. The system processes documents through Bedrock Data Automation recipes, enforces content policies with Bedrock Guardrails, and enables natural language queries against MongoDB through a FastAPI interface. Auto-scaling ECS deployment and comprehensive Langfuse monitoring provided visibility across ingestion and conversational workflows. Load testing validated performance and cost. The result: AWS Bedrock prooved to be a credible foundation for production deployment, with structured outputs, confidence scoring, and secure multi-tenant access all operating within a cloud-native architecture aligned with AWS best practices.
