Omnys develops a multi-agent chatbot based on Amazon Bedrock for AMF
AMF Group is a leading company in the production of accessories for the fashion industry, specializing in the manufacture of metal and non-metal components for apparel, footwear, and leather goods for the most important international brands.
For AMF, Omnys developed a Generative AI solution designed to optimize information management and make business processes more efficient.
A Single Tool to Access Business Information
The objective was to create an intelligent tool capable of accessing data from different sources, including document knowledge bases, databases, ERP and business applications, monitoring in real time the status of products and projects throughout their entire lifecycle.
The solution also needed to help optimize productivity and reduce management time, making access to the information necessary for operational activities and decision-making processes faster and more accurate.
A Multi-Agent Chatbot Based on Amazon Bedrock
To meet these needs, Omnys developed a multi-agent chatbot based on Amazon Bedrock for AMF, designed to interact seamlessly with databases, document knowledge bases, and business applications.
The solution is based on OMNYS AI PLATFORM, Omnys’ Generative AI platform built on Amazon Bedrock, equipped with short-term, long-term, and document memory.
Thanks to specifically designed prompts, the platform is able to reason, break down complex tasks, plan action execution, and autonomously use a range of tools to fulfill user requests.
The architecture is designed to handle heterogeneous data sources, orchestrate intelligent workflows, and dynamically manage complex subtasks, combining central coordination and distributed intelligence.
Greater Efficiency in Information Management
The implementation of the solution enabled AMF to achieve significant results:
- Reduced time spent searching for information;
- Faster and more accurate decision-making processes;
- Improved internal efficiency thanks to quicker and more precise access to relevant data.
The project demonstrates how Generative AI, integrated with business data and systems, can transform from a conversational tool into a concrete component of operational processes, supporting people in information management and decision-making activities.
