"Tech 42 was a strong partner in helping HealthNote migrate our AI Medical Receptionist from a VAPI-based system to a fully AWS-native architecture, building on prior assessment and proof-of-concept phases to deliver a production-ready deployment across our healthcare client base.

The team delivered a GitHub Actions CI/CD pipeline for staging and production deployment with rollback functionality, multi-channel voice agent support across voice, SMS, and web, and Telnyx-based failover to address a key redundancy requirement. They also deployed Langfuse V3 via Terraform with HIPAA-aligned security controls — AWS KMS encryption, private VPCs, IAM least-privilege, CloudTrail logging, and automated RDS backup with recovery documentation — along with a Bedrock Knowledge Base RAG evaluation report, an LLM-as-judge evaluation framework, and an example MCP server implementation.

Throughout the engagement, the Tech 42 team went beyond the initial scope of work to help us achieve our proof-of-concept goals, collaborating closely with our engineers to ensure the system was not only delivered but positioned for successful production use.

The team delivered thorough documentation including an infrastructure architecture diagram, a full Terraform resource index, and step-by-step deployment instructions, along with a recorded live demonstration that left our engineers equipped to manage the infrastructure independently.

The team was precise, documentation quality was high, and issues were addressed promptly. We appreciate the partnership and the work Tech 42 brought to this engagement — it has put us in a meaningfully stronger position as we move toward full productionization."