Telco firm optimizes enterprise software with knowledge layer

Telco firm optimizes enterprise software with knowledge layer

We worked with a European telco firm, whose enterprise software suite of 25+ years was in need for modernization. After a thorough analysis of their existing systems and infrastructure, Hiflylabs built a new software suite with a context layer to support a higher degree of automation and agentic workflows for increased efficiency and lower costs.

40%

faster AI answers

96%

entity-resolution accuracy

Challenge

The client uses a suite of proprietary tools for its operations, from ERP to BI and CRM. They were looking to update their existing software, in place for over 25 years, as processing speeds were behind industry standards, resulting in lower staff efficiency and overall dissatisfaction.

Hiflylabs was tasked with modernizing the software suite with AI layers for automation and cost reduction purposes. 
 

Solution

Our initial analysis uncovered decades of legacy codebases, dependencies, documentation, and versioning, all in strict hierarchy. To gain an overview of its workings and enable a more efficient, AI-driven operation in the next suite, we built an ontology, with a graph mapping out the company’s knowledge base, glossary, and workflows.

First, it was tested against an evaluation set, and it was proven to be accurate in over 96% of cases. This qualified it to serve as part of the new software suite’s context layer. It also includes an MCP server, which ensures that the logic we created can later be utilized in new systems, too.

The new software suite enables more accurate and faster information retrieval through AI, resulting in faster processes and thus cost reductions across operational functions.
 

Service

AI

Industries

Telecommunications

Technologies

Google Cloud Platform

Vertex AI Platform

Claude Code

GitLab

LangGraph

Python

MCP

Java