About
Codetribe partnered with AMS-IX, a global enterprise corporation, to develop a proof-of-concept for a groundbreaking Agentic AI. This initiative focused on creating an intelligent agent capable of interacting with a Large Language Model (LLM) to automate key platform functionalities, paving the way for a new era of operational efficiency and intelligent system management.
Challenge, approach, and impact
Automating Complex Provisioning Commands
The primary challenge was to design an intelligent agent that could learn from a library of over 1,000 existing scripts to autonomously generate complex provisioning commands, a task that traditionally required significant manual effort and deep expertise.
Ensuring Workflow Integrity and Control
A critical requirement was to create a secure and reliable system for managing the AI-generated commands, including a queuing mechanism and a manual approval step to maintain operational control and prevent errors.
Seamless Integration with Enterprise Systems
The new AI agent needed to be seamlessly integrated with the client's existing, complex API within a local environment to prove the viability of the solution without disrupting live operations.
How we built
Testimonials
Miloš Veljković, Fullstack Developer @ Codetribe
Codetribe
“This project was a fantastic opportunity to work on the cutting edge of enterprise AI. Building an agent that could learn from code and interact with an LLM was a complex but incredibly rewarding challenge. The real success was seeing it integrate smoothly with the client's existing API, proving that we could introduce this powerful new technology to enhance their operations. It was a true team effort that laid the groundwork for future innovation.“
Team structure
Client team
Steven
Software Architect
Daily point of contact
The client stakeholders at AMS-IX were working closely with the team at Codetribe
Agency team
1 x Fullstack Developer
Production
