The project uses AI to evaluate medical exams with precision, reducing errors. It is based on AWS, OpenAI, and Serverless in the cloud.

Virtual AI agent for optimizing health evaluations

Virtual AI agent for optimizing health evaluations

Industria
Health (HealthTech)
Escenario
Artificial Intelligence
Cliente
Health Regulatory Entity

The project involves integrating AI agents to perform automated evaluations of medical exams in the healthcare sector, to improve accuracy and reduce errors. The agents are configured to conduct analysis, compare the input against regulations, and generate recommendations. The framework was built using technologies such as AWS, Crude AI, OpenAI, and REST APIs. The system is deployed in the cloud and managed using a serverless framework.

Technologies

Infrastructure:

AWS Lambda (functions for performing automated evaluations), API Gateway (to expose the APIs), Elastic Container Repository (ECR) (storage and execution of containers)

CI/CD and Deployment:

OpenAI LLM (for processing medical and financial data), Crude AI (for defining agents and tasks)

CICD y Despliegue:

Serverless Framework

Range of services

Development and integration of AI agents for automated evaluations of medical exams and financial data

Improvement of accuracy and efficiency in analysis using AI

Deployment and management of the system via Serverless Framework in the cloud

Expansion of agents to other sectors and enhancement of the Client´s platform as a SaaS

Look At All the Success Stories

Bian

BIAN adaptation services

Consulting and advisory services for adaptation of BIAN (Banking Industry Architecture Network), the preferred option for the design of banking services (either for commercial or developing banking); this would be done under such standard, including the incorporation of corporate services as per a service-oriented architecture.

AI Agent SAR

Automated Technical Support with AI Agent

Arkkosoft implemented an artificial intelligence agent to automate technical support for the Automated Recharge System (SAR). This agent processes forwarded emails, generates structured tickets, and classifies cases into three categories. It uses multimodal analysis, validates data, integrates with Jira and SAR, and suggests solutions to common errors such as rejected transactions or unregistered services. The solution reduced response times by 50%, improved traceability, and significantly decreased the technical support team’s operational workload.

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