Pioneering Agentic AI to Automate Enterprise Workflows

Automating complex network operations for a global internet leader with a code-generating Agentic AI

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Codetribe partnered with AMS-IX to automate complex hardware provisioning with a sophisticated agentic AI. We developed a powerful code-generating agent, trained on a library of over 11,000 hardware scripts and powered by an LLM, that converts simple user prompts into precise command scripts. This transformed a high-expertise manual process into a streamlined, intelligent workflow, setting a new standard for operational efficiency.

Client

AMS-IX

Country

Netherlands

Market

Globally

Type

Enterprise

Story

A vital, neutral hub for the internet for over 25 years, Amsterdam-based AMS-IX connects thousands of networks, enabling the seamless exchange of global data traffic. To maintain their position as an industry leader and future-proof their critical infrastructure, they partnered with Codetribe to pioneer the use of Agentic AI for automating complex network operations.

Business Impact

Driving Operational Cost-Efficiency

The new AI-powered workflow automates high-volume repetitive tasks and streamlines command generation. This directly improves productivity, allowing the engineering team to achieve more without expanding headcount, which significantly reduces operational costs and maximizes the value of their existing talent.

Accelerated Onboarding for Teams and Clients

By simplifying complex processes into an intuitive interface, the solution drastically reduces the learning curve. This accelerates the onboarding of new engineers and makes it faster and easier for new clients to integrate with the AMS-IX platform, allowing both to become proficient and deliver value in a fraction of the time.

Pioneered a Strategic AI Initiative

This project successfully embedded intelligent automation into the core of AMS-IX's operations. It demonstrated the tangible, real-world value of AI and created a foundational platform for future innovation, securing their position as an industry leader through advanced, efficient network management.

64%

Engineering Tasks Automation

300%

Increase in Onboarding Cost-Efficiency

Focus Area

Domains

AI & ML Solutions

Conversational AI

Enterprise Software

Web Apps

API

Architecture

Hardware

Services

AI & ML Services

Digital Transformation

Infrastructure & DevOps

Backend Development

Frontend Development

Prototyping & POCs

System Architecture

Web Development

Industries

Artificial Intelligence

Telecommunications

Tech Stack

Python

RabbitMQ

React.js

Unsupervised Learning

Reinforcement Learning

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Challenges

AMS-IX needed to modernize its complex network operations, which relied on manually interpreting a library of over 11,000 scripts for interacting with hardware to generate time-consuming provisioning commands. This process created bottlenecks and required extensive engineer training. Introducing an AI solution required a fail-safe mechanism, seamless integration with their existing enterprise API, and a plan to overcome limitations from outdated hardware that impacted performance and their technology roadmap.

Solutions

Codetribe delivered a bespoke agentic AI solution by building an intelligent agent for code generation that learns from a library of over 11,000 scripts to autonomously create provisioning commands. Featuring a UX centered on simple user prompting, the solution ensures seamless interaction. For safety, we engineered a command messaging bus to queue all AI actions for manual approval (human-in-the-loop), and validated the entire approach by successfully integrating the agent with the client's APIs without disrupting live operations.