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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.

Industry:Enterprise Software & Logistics
Core Challenge:Inability to Scale Conversational AI & High Development Costs
Solution:AI Agent Platform, Multi-Tenancy Architecture, Retrieval-Augmented Generation (RAG)
From Chatbot to Command Center: Empowering Enterprise with an AI Agent Deployment Platform
Challenge illustration
Challenge illustration

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.

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.

Chief Digital Officer

Global Logistics Enterprise

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.

Enterprise AI System

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.

These results demonstrate the transformative power of AI when implemented strategically and thoughtfully.

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