Summary

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. 

Business Problem

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.  

Solution Offered

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. 

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  • 90%

    Faster Query Turnaround

    Complex queries resolved significantly quicker due to parallel task execution.

  • 85%

    Improved Access to SOPs & Compliance Data  

    The system successfully flagged early warning signs, preventing harmful interactions in clinical use cases.  

  • 80%

    Scalability Across Business Functions  

    Successfully supported high query volumes and cross-functional integration.  

Key Features:

  • conversational chat

    Manager Agent:

    Decomposes queries and coordinates specialized agents.

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    SOP Knowledge Agent:

    Processes and retrieves context from SOPs using RAG pipelines.  

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    Tool Access Agent:

    Handles live web lookups and calculations. 

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    Coding Expert Agent:

    Generates code snippets and debugging help.  

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    Deviation Database Agent:

    Converts natural language into SQL queries.  

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    Microservices Architecture:

    Containerized agent deployment via Docker on ECS Fargate. 

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    Kafka Backbone:

    Ensures asynchronous communication and fault tolerance.  

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    Real-Time Monitoring:

    Centralized logging and monitoring via ELK, Prometheus, and Grafana. 

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    Horizontal Scalability:

    Redundant, partitioned agents support large-scale operations.