From Chatbot to Command Center: Empowering Enterprise with an AI Agent Deployment Platform
A global logistics enterprise needed to move beyond simple, single-purpose chatbots. Their goal was to empower their internal teams to create, manage, and deploy multiple, sophisticated AI assistants for various use cases from internal IT support to customer service without a massive development overhead for each new bot. They partnered with Evren AI to build IntelliBots, a centralized platform for deploying and managing autonomous, RAG-powered AI agents at scale.
Enterprise Software & Logistics
Inability to Scale Conversational AI & High Development Costs
AI Agent Platform, Multi-Tenancy Architecture, Retrieval-Augmented Generation (RAG)
The Strategic Imperative: Democratize AI Creation, Centralize Control
Enabling Non-Developers to Build and Manage AI Agents
The goal was to create a user-friendly admin interface, allowing business users to easily build and manage AI agents with secure knowledge bases.
Ensuring High Accuracy and Domain-Specific Expertise
The system needed to provide context-aware, accurate responses grounded in verified internal documentation, preventing AI 'hallucinations.'
Facilitating Seamless and Secure Embedding
The platform had to offer an easy, secure way for clients to embed AI agents into their websites and internal apps, requiring a scalable backend and simple frontend.
What Leadership Had to Say
Chief Digital OfficerGlobal Logistics Enterprise
“IntelliBots has transformed our approach to internal AI. Instead of commissioning one-off projects, we now have a platform that empowers our own teams to build the solutions they need. Evren AI delivered a scalable, secure, and remarkably intuitive system that is driving efficiency across our entire organization.”
Our Blueprint for a Scalable AI Agent Factory
Architected a Modular, Multi-Tenant Platform Core
Built a robust backend using FastAPI to manage multiple isolated chatbot instances, ensuring data security and segregation across bots.
Implemented a Powerful RAG and Indexing Engine
Integrated RAG with Elasticsearch to create a searchable knowledge base from documents and live websites, grounding AI responses in factual data.
Designed a User-Centric Admin and Client Interface
Created two interfaces using Next.js: an admin dashboard for managing bots and a responsive chat UI that's easy to embed in web apps.
Engineered for Scalability and High Availability
Containerized the platform and hosted on AWS with load balancing and autoscaling to ensure performance and reliability as bot usage grows.
The Transformational Outcome:Rapid Deployment, Reduced Costs, and Enterprise-Wide AI Adoption
Reduced New AI Agent Deployment Time from Months to Hours
The platform enabled self-service for business units, reducing deployment time and developer resources needed for new AI agents.
70% Reduction in Repetitive Internal Support Queries
The first AI agent for the IT help desk automated common queries, allowing the IT team to focus on more complex issues.
Ensured 100% Verifiable, Source-Based Responses
The RAG architecture prevented AI errors by ensuring all responses were based on the client's own knowledge documents, building trust.
A Centralized Platform for AI Governance & Strategy
The client now has a unified platform to manage AI strategy, monitor performance, and ensure quality and security across all agents.