The Fifth Elephant 2025 Annual Conference CfP

Multi-agent systems are gaining traction across various domains due to their ability to adapt and operate in dynamic environments while accomplishing complex tasks. This is largely attributed to their capabilities in tool invocation, context management, planning, and inter-agent collaboration. While their potential is promising, developing sophisticated multi-agent systems for real-world applications presents a unique set of challenges, including accuracy, latency, and operational costs.

In this talk, we will explore these challenges in depth and discuss practical strategies to address them. Through a detailed case study of a conversational AI assistant designed to interact with enterprise data, we will demonstrate the effectiveness of multi-agent systems. We will elaborate on how multiple agents were orchestrated to handle diverse tasks such as performing dynamic computations and retrieving information from both structured and unstructured data to derive insights. We will walk you through the lessons we learned while building a production-ready multi-agent application.

Outline of the talk

• Intro (2 mins)
• Effectiveness of the Multi-agent system for dynamic business environments (3 mins)
• Challenges faced in making it Production-ready and solutions to address them (15 mins)
• Conclusion (5 mins)
• QnA (5 mins)

Key takeaways

• Blueprint for a production-ready multi-agent system for an enterprise application
• Insights into managing structured + unstructured data
• Approach to improve latency and accuracy while minimising cost

Target audience

Folks with basic understanding of Python, APIs, and LLM/RAG concepts. If you’ve ever written a chatbot or SQL query—you’ll feel right at home!

Speaker bio

Sibin Bhaskaran is a Solution Consultant and technology lover at Sahaj AI Software. With over a decade of practical knowledge, he strives to gain a comprehensive understanding of the entire business lifecycle, putting into perspective the pivotal role that technology plays in its overall success. He has extensive knowledge across diverse domains of technology, spanning backend development, mobility solutions, robotic process automation, and machine learning.