Manager Agent:
Decomposes queries and coordinates specialized agents.
Orian AI significantly streamlined complex query resolution for a large pharmaceutical enterprise, enabling rapid and precise responses while improving access to compliance data. The modular agentic design allows flexible expansion, high availability, and real-time adaptability—making it a future-ready solution for any data-heavy industry.
Enterprises frequently face delays and inefficiencies when resolving multifaceted queries related to SOPs, coding, databases, or real-time research. Traditional query resolution workflows lack scalability, context awareness, and integration between specialized domains, leading to fragmented responses and time-consuming follow-ups.
Orian AI was developed as a modular, scalable agentic system to resolve complex, multi-part queries with speed and precision. The architecture uses a Manager Agent to deconstruct incoming queries and route subtasks to specialized AI agents. These include agents for SOP processing (via RAG + GPT-4), tool access (internet search, calculations), code generation (Claude 3.5), and deviation analysis (SQL via natural language). The system uses Kafka for high-throughput, low-latency orchestration, and ECS Fargate for elastic microservice deployment.
Complex queries resolved significantly quicker due to parallel task execution.
The system successfully flagged early warning signs, preventing harmful interactions in clinical use cases.
Successfully supported high query volumes and cross-functional integration.
Decomposes queries and coordinates specialized agents.
Processes and retrieves context from SOPs using RAG pipelines.
Handles live web lookups and calculations.
Generates code snippets and debugging help.
Converts natural language into SQL queries.
Containerized agent deployment via Docker on ECS Fargate.
Ensures asynchronous communication and fault tolerance.
Centralized logging and monitoring via ELK, Prometheus, and Grafana.
Redundant, partitioned agents support large-scale operations.